Tag: Technology Policy

  • The Quietest Minds in the Galaxy May Be the Oldest

    By Department of Technology

    How a future Department of Technology, and a new equation for counting minds, could change the way we look for company in the universe.

    A particle from nowhere

    In May 2021, detectors spread across 700 square kilometers of Utah desert caught a single particle slamming into the atmosphere with 240 exa-electronvolts of energy. That is roughly forty million times what the Large Hadron Collider can give a proton. Physicists named it the Amaterasu particle.

    The odd part is where it seems to have come from. A particle that energetic can’t travel very far before the faint glow of the cosmic microwave background wears it down, so its source should be fairly close in cosmic terms, within about 50 to 100 megaparsecs. But when researchers traced its path backward, it pointed toward the Local Void, a vast, nearly empty region of space. No active galactic nuclei, no gamma-ray bursts, no colliding galaxy clusters. None of the usual engines that could throw a particle that hard.

    There are perfectly sensible explanations. Magnetic fields between galaxies might bend particles more than our models assume, or there may be some exotic dark-matter process at work, and the most likely answer is something along those lines. I’m not claiming anything else.

    But I can’t stop turning over a thought experiment. Imagine a civilization that had long ago stopped broadcasting radio and stopped building glowing megastructures, because both are wasteful. Imagine it had moved toward ultra-cold, ultra-efficient computation, and that it occasionally sent something very focused across very large distances. Would our search for extraterrestrial intelligence even have a box to put that in?

    It wouldn’t. And that gap is what this article is about.

    Here is the idea I want to build toward: we can’t count minds we haven’t learned to define, and the first place we’ll have to define them is here on Earth.

    The search is built around us

    For more than sixty years, our math for estimating life and intelligence in the galaxy has rested on two quiet assumptions. The first is that minds grow out of carbon-based biology on the surface of rocky planets. The second is that advanced civilizations are noisy, leaking radio waves and waste heat into space.

    The two best-known frameworks, the Drake equation (1961) and the Seager equation (2013), both lean on those assumptions, and in different ways.

    Drake’s equation multiplies seven factors to estimate how many communicating civilizations exist in the Milky Way. The first few are fairly well pinned down now, thanks to Kepler, Gaia and JWST. The last four, covering how often life starts, how often it becomes intelligent, how often it communicates, and how long it keeps communicating, are almost pure guesswork. Using ranges I’d call conservative, those four alone span more than twenty orders of magnitude. Since uncertainty in a chain of multiplied terms adds up rather than averaging out, nearly any observation, from total silence to thousands of signals, fits somewhere inside the range. An equation that can’t be wrong isn’t telling us much.

    Seager’s equation is more modest and more testable. It estimates how many planets, among the ones we can observe, show detectable biosignature gases. That is a useful number. But it is a count of planets with chemistry, not minds. Earth had an oxygen-rich atmosphere for billions of years before anything on it could think. By Seager’s measure, Earth would have looked like a success for a very long time with no one home. And a thinking machine civilization living in an asteroid belt, or inside an ice moon, or on a cold world around a white dwarf, adds exactly zero to the count.

    There is a third issue, and I want to be careful with it because it isn’t a math problem. Both equations carry a person’s name. (Neither Drake nor Seager named them, by the way. Their colleagues did.) Naming things after people is a long scientific habit. There’s even a joke in the field, Stigler’s law, which says that no discovery is named after its actual discoverer, and Stigler named it after someone else. Habits like that aren’t harmless, though. A framework with a famous name tends to become a monument that people hesitate to revise, and the name tells a student who proposed the idea but nothing about what it measures. At the very moment we’re trying to look beyond ourselves, I’d like our tools to be named for what they do. That’s an argument about scientific culture, and you’re free to disagree with it. It doesn’t change a single number.

    Minds are already changing on Earth

    Here is why I think this matters now and not in some distant future. The thing we call a mind is already splitting into three kinds, on this one planet, in this one decade.

    There is the kind we know best, minds that evolved through natural selection in living bodies. There is a newer kind: biocomputing, where clusters of living neurons grown in a lab, called organoids, are connected to electrode arrays and trained to process information. Companies and universities like Cortical Labs, FinalSpark and Johns Hopkins are already doing this. And there is Machine Intelligence (MI), systems running on silicon, light, and increasingly quantum hardware.

    If we’re diversifying the physical basis of intelligence this quickly, it seems a stretch to assume the rest of the galaxy stayed frozen at “early-industrial carbon biology.” It seems more likely that any civilization that lasts long enough passes through some version of the same changes. And a mind that has changed substrate might look nothing like the one we’re listening for.

    To search for those minds, we’d need two things we don’t have. One is a way to classify and govern minds across different physical bases. The other is a way to estimate how many of them exist.

    Why this is a government problem

    This is where the Department of Technology comes in. The proposal at www.department.technology starts from a simple observation: in the United States, no one is in charge of any of this. The Office of Science and Technology Policy advises the president but can’t enforce anything. NIST writes technical standards but has little regulatory power. The FCC and NTIA handle spectrum and broadband, CISA defends federal networks, and biocomputing falls into a gap shared by university ethics boards, the FDA, NSF, NIH and the Department of Defense, none of which was designed for living tissue that learns.

    The proposal’s answer is a unified Department of Technology with four layers, all on four-year terms synchronized with presidential elections: a Cabinet-level Secretary of Technology at the federal level, and voter-elected technology leaders at the state, county and local levels. The pitch is democratic accountability rather than another set of agencies that answer to no one.

    Three ideas from the site matter for the rest of this post.

    The RMS framework. RMS stands for Responsive, Memorable, Sentient. It’s a way of grading the cognitive complexity of a system so that laws and ethics can attach to something concrete. It was first designed for MI, and the site argues that living neural tissue needs its own parallel version. Neuroscience doesn’t yet have an agreed test for consciousness, so the proposal calls for the Department to work with NSF, NIH and bioethicists to set practical criteria and precautionary thresholds.

    A quick note on words, because I'll use "sentience" a lot from here on. I mean the philosophical sense: having subjective experience, there being something it is like to be that system. The department.technology/ site also uses "Sentience" for an unrelated operating-system concept for networked robots. I'm not talking about that one.

    The SCOPE index. In 1964, Nikolai Kardashev proposed ranking civilizations by how much energy they use, which assumes advanced minds strip-mine stars and glow in the infrared. The site argues for the opposite trend, which it calls the Miniaturization Paradox: as a civilization advances, efficiency pushes it inward, toward denser and cooler computation, not outward toward bigger machines. SCOPE scores a civilization from 1 to 100 across five dimensions (Synthetic integration, Complexity, Operational utility, Processing capacity, and Efficiency). Modern Earth sits near 12. The proposal’s Void Hypothesis says that high-scoring civilizations would look cold, dark and quiet to our current telescopes.

    The pledges. The Department would push for treaties that ban MI and living computational substrates from nuclear, biological and chemical warfare, along with a No Weaponization of Biocomputing pledge and a No First Use Quantum pledge. Why would that matter to astronomy? Because whether a civilization survives its technological adolescence determines how long it lasts, and how long minds last is one of the biggest unknowns in any estimate of how many exist.

    So the connection to the sky is this: the same institution that would have to decide how to classify a lab-grown neural network is the one that would end up writing the standards we’d use to recognize a mind somewhere else.

    Meet the Sentience equation

    Here is my attempt at an alternative. I’m calling it the Sentience equation, partly because that’s what it estimates and partly because I’d like it to carry no one’s name.

    In plain terms, it estimates the number of sentient civilizations in the Milky Way that we could currently detect. In math:

    S = Λ₀ × Σ ( p × ψ × τ × d ), summed over the three substrates.

    That looks more intimidating than it is, so let me go through it.

    Λ₀ (lambda-zero) is the rate at which new intelligent civilizations are born in the galaxy each year. It’s built from the same ingredients Drake used: how fast stars form, how many have planets, how many of those planets (or icy ocean moons) could host life, how often life starts, and how often it becomes technological.

    Then, for each of the three substrates (biological, biocomputing and MI), there are four terms:

    TermWhat it asks
    pHow likely is it that a civilization ends up in this form?
    ψ (psi)If it does, how likely is it to be genuinely sentient and not just clever?
    τ (tau)How many years does it last in this form?
    dWhat fraction could our instruments actually detect?

    Multiply those together, add up the three substrates, scale by the birth rate, and you get the answer. The units work out neatly. The birth rate is per year, the lifespan is in years, and everything else is a pure fraction, so you end up with a plain count of civilizations. (The full derivation, including how it handles a species that builds its own successors, is in the appendix.)

    Three design choices are worth explaining.

    It separates intelligence from sentience. Being good at solving problems isn’t the same as having an inner life. Drake’s equation tucks that question inside a single factor, and hiding an assumption doesn’t remove it. Giving it its own term, ψ, forces everyone to say out loud what they believe.

    It lets minds change form without being counted twice. A species can start out biological, build an MI, and live alongside it. I handle this by classifying each civilization by its dominant substrate at any given time, so a creator and its successor on the same world never count as two. (A self-replicating MI that settles other star systems does get counted separately for each independent node, since those really are separate.)

    It makes persistence and detectability explicit. How long minds last, and how visible they are while they last, are probably the two most important facts about a crowded galaxy, and neither is a first-class term in older equations.

    A worked example, with a warning

    Here’s the warning first. Every number in this section is a placeholder. I picked them to show how the equation behaves, not because I believe them. Please don’t quote them as findings.

    Say the galaxy produces one new technological civilization every thousand years (Λ₀ = 0.001 per year). Take these made-up values:

    Substratepψτ (years)Extant civilizationsDetectable (d)
    Biological1.00.910,00090.18 (d = 0.02)
    Biocomputing0.30.650,00090.18 (d = 0.02)
    Machine Intelligence0.80.21,000,0001601.6 (d = 0.01)

    That gives about 178 sentient civilizations in the galaxy, of which we’d expect to detect roughly two.

    Notice what happened, because it’s the point of the exercise. I gave MI a skeptical sentience score: only one in five advanced machine minds is genuinely conscious. And it still dominates the count, because machines that last a million years pile up over time, while biological civilizations that last ten thousand don’t. The reason is simple: long-lived things accumulate.

    If you’re a strict biological naturalist and you believe silicon can never be conscious (ψ for MI equals zero), the equation tells you exactly what that belief costs. The detectable count in this example drops from about 1.96 to 0.36. You can hold that view, but the math makes you pay for it in plain sight.

    I also ran low and high scenarios, and the range is humbling. Between a rare-life galaxy and a crowded one, the answer spans nearly twelve orders of magnitude. Roughly half of that uncertainty comes from the substrate terms (how long post-biological minds last, how visible they are, and how many are really sentient), about 40 percent comes from the biology-and-evolution terms, and only about 9 percent from astronomy. In other words, the biggest unknowns are no longer about stars and planets. They’re about minds.

    What the Department could actually do

    The astronomy community can’t pin down those substrate terms alone, and neither can a single agency. Here is where I think the Department of Technology could help.

    Turn ψ from philosophy into a research target. A federal Department working with NIST, NIH and NSF could expand the RMS framework to cover both machines and organoids, and fund standard tests, such as generalizations of the Perturbational Complexity Index, which probes how richly a neural system responds to disturbance. A national biocomputing registry that tracks how long living tissue systems last and how they fail would give us lab data for τ and p on the biocomputing branch. None of that tells us about aliens directly, but it narrows the priors we’d bring to the sky.

    Search where the quiet minds might be. If the SCOPE argument is right, the places to look include cosmic voids, using particle observatories (Telescope Array, Pierre Auger), neutrino detectors like IceCube, and gamma-ray and optical transient networks, linked through shared data pipelines. The Department could also fund work on what minimum-entropy communication would look like near the physical limits of computation, so that astronomers learn to recognize “noise” that might actually be heavily compressed signal. And the four-tier structure could in principle tie together municipal dark-sky networks and regional radio monitors into a citizen-accountable all-sky observatory.

    Make civilizations last longer, starting with ours. Persistence isn’t a constant of nature, it’s a function of choices. A civilization that arms its machines or its engineered tissue with nuclear, biological or chemical targeting is shortening its own τ. The treaties and pledges the Department proposes aim to extend ours, and they’d give us a working model of how any civilization might survive the jump from SCOPE 12 to SCOPE 60 and beyond.

    Where this could be wrong

    I’d be a hypocrite if I criticized Drake and Seager and didn’t do the same to myself. Here are the four objections I take most seriously.

    We can’t measure ψ. This is the deepest weakness, and I’ll say it plainly. There is no sentience meter. Even on Earth, David Chalmers’ Hard Problem of Consciousness reminds us that behavior and complexity don’t logically prove inner experience, and nothing in astronomy will read it off a signal from 500 light-years away. My defense is that leaving ψ out doesn’t make the problem go away. It just buries the assumption where nobody can examine it.

    More parameters means more uncertainty, right? I showed earlier that multiplying uncertain terms stacks their uncertainty. Haven’t I made things worse by replacing Drake’s seven terms with a longer list? Not really. Drake’s later terms are already blends of different substrates hiding inside one average. Splitting them apart doesn’t add physical uncertainty, it reveals what was already there, and it lets lab results on one substrate constrain that branch without contaminating the others.

    The invisibility trap. If advanced minds really do eliminate waste, the longest-lived ones may be the least detectable. That would be an elegant answer to the Fermi paradox: the sky is quiet not because no one is out there but because the oldest minds learned to be quiet. It’s also a convenient excuse that can’t be tested, so I’d flag it as a conjecture. Physics offers one check. Landauer’s principle says that erasing information always costs some energy, so even a very efficient civilization must leave some trace. Once we know what to look for, d for MI should be greater than zero.

    The lines blur. What about a species that merges gradually with implants and machine intelligence over thousands of years? I treat the three substrates as a rough basis for a continuous range of possibilities, and classify each civilization by where most of its information processing happens. It’s a simplification, and a real civilization may resist the tidy boxes.

    Why I care about this

    I care deeply about this subject because I fell in love with the possibility that you and I—and humanity as a whole—are not alone in this vast galaxy and universe. The idea that intelligent, sentient life may exist beyond our world fills me with wonder and gives us a reason to look beyond ourselves and our differences. Perhaps the confirmed discovery of another intelligent civilization would become a defining moment in human history—a profound catalyst for uniting us in our shared humanity, inspiring us to pursue peace on Earth, and encouraging us to explore the cosmos together. In discovering that we are not alone in the universe, perhaps we might also discover a greater reason to stand together here at home.

    Here is what I keep coming back to. For generations we’ve looked up through a narrow keyhole, searching for creatures built like us and behaving like our grandparents, leaking radio into the dark. Meanwhile, on Earth, the line between evolved biology, living neural computers and machine minds is already softening.

    I don’t know whether anyone is out there. But I do think that if we want to find out, we’ll need a way to govern and measure minds that isn’t tied to one kind of body, and we’ll need math that doesn’t assume the answer before it starts. The Department of Technology proposal is one concrete place to begin, and the Sentience equation is my attempt at the other half. I’d love to see where you think it breaks.

    Five questions for you

    1. If astronomers detected an unmistakable high-SCOPE signature from a machine intelligence in the Local Void, should we treat it with the same moral and diplomatic standing as a biological civilization, even if we couldn’t prove it was sentient?
    2. In my example, biocomputing combines a high chance of sentience with longer life than biology. Do you think advanced species are more likely to end up in living neural architectures, or in solid-state machines?
    3. Does naming an equation for what it measures, rather than for a person, actually change how scientists work together and revise ideas? Or is eponymy a harmless shorthand?
    4. The Department of Technology proposal calls for elected technology leaders at the state, county and local levels. How should ordinary citizens help set the ethical lines for biocomputing research and for any future message we might send into space?
    5. If researchers can’t confidently say whether a lab-grown neural system is sentient, what test result, if any, should be enough to trigger legal protections for it?

    Quick glossary

    Biocomputing: computation done by living tissue, usually lab-grown clusters of stem-cell-derived neurons (organoids) connected to electrodes.

    Machine Intelligence (MI): non-biological cognitive systems running on silicon, light-based, superconducting or quantum hardware.

    Sentience: the capacity for subjective experience, as distinct from intelligence.

    RMS framework: Responsive, Memorable, Sentient, a three-tier way to grade cognitive systems for legal and ethical purposes.

    SCOPE index: a 1-to-100 scale of civilizational complexity and efficiency, proposed as a replacement for the Kardashev scale.

    Miniaturization Paradox: the idea that advanced civilizations are more likely to shrink toward dense, efficient computation than to build star-sized machines.

    Little’s Law: a result from queueing theory stating that the average number of items in a stable system equals their arrival rate times the average time each stays. It’s the core of how the equation turns “births per year” into “civilizations alive now.”

    Technical appendix: the full derivations, proofs, dimensional check, parameter ranges and sensitivity analysis are available in the complete paper.

  • Stop the Litigation Loop: Why a Department of Technology is Essential for Securing America’s AI Dominance

    The debate over Artificial Intelligence (AI) regulation has reached a critical point. Everyone agrees on the core strategic goals: a unified national AI roadmap, effective federal law, and uninterrupted American dominance in this foundational technology.

    Yet, as Washington prepares to preempt state AI laws through executive action and federal litigation, and states dig in to defend local protections, we are setting up a protracted legal battle. This confrontational, lawsuit-driven uncertainty threatens to stifle the very innovation and global leadership we seek to protect. The current approach is not only self-defeating; it is the most efficient path to guaranteeing America loses the AI race to competing nations.

    The solution is a structural one: establishing a dedicated, multi-level Department of Technology (DoT). This is the only viable path to making a federal AI law successful, workable, and politically accepted by the states, transforming confrontation into collaboration and gridlock into global leadership.

    The Current Barrier to National Dominance

    Our current governance structure fundamentally undermines our national AI ambitions and actively cedes our global competitive advantage:

    • Impeding the Roadmap: We lack a single, dedicated federal agency with the technical mandate and resources to manage a coherent, long-term national AI strategy—from research investment to international standards.
    • Creating a Regulatory Choke Point: The current plan to enforce a federal law is litigation—using the ambiguous Dormant Commerce Clause to challenge every state law. This process creates a years-long “litigation loop” that guarantees regulatory uncertainty. This confrontational strategy is the opposite of the predictability and stable framework AI developers need, and by ensuring gridlock, it actively does what it purports to deter: America losing the AI race.

    The Solution: A Decentralized DoT to Ensure AI Continuity

    A tiered DoT—established at the federal, state, and local levels—creates the dedicated governance structure needed to achieve consistency without confrontation, replacing centralized power with democratic accountability.

    1. The Federal DoT: The Engine of the National AI Roadmap 🇺🇸

    The Federal Department of Technology would become the nerve center for America’s AI future. It would be essential for:

    • Securing AI Dominance: Consolidating federal efforts to maintain our competitive edge, allocate R\&D funding, and coordinate national cybersecurity strategy.
    • Creating Predictable Law: Serving as the sole authority to issue uniform national technical standards for AI safety and risk assessment. This provides the consistent regulatory “floor” the industry needs to operate efficiently across state lines.

    2. State and Local DoTs: Ensuring Democratic Accountability 🤝

    This is the key to political acceptance and operational success, grounding the enforcement of a national law in local, democratically elected leadership.

    • Direct Voter Mandate: The voters of each state, county, and local community will decide who to elect for their respective Departments of Technology. This direct electoral mandate ensures local standards and concerns—like bias in local lending—are represented by publicly accountable, technically competent officials, not distant, unelected bureaucrats.
    • Provide Decentralized Expertise: These elected State and Local DoTs would recruit the specialized auditors and technical staff needed to enforce the federal standards on the ground—something the federal government lacks the capacity to do alone.
    • Replace Lawsuits with Liaison: The Federal DoT would work with these democratically-elected State DoTs as partners, providing technical guidance and resources, rather than initiating lawsuits. This collaborative model immediately de-escalates the federal-state conflict, allowing the national AI roadmap to proceed without legal delay.

    The Choice is Clear: Governance or Gridlock

    We all agree on the necessity of a unified national AI policy and the imperative of US leadership. Yet, the current approach of confrontation and litigation guarantees gridlock and a devastating loss in the global AI race.

    By building the Department of Technology, we provide the institutional spine required for successful federal-state cooperation, guaranteeing that a national AI law is not only passed but is workable, enforceable, and acceptable to all stakeholders through direct democratic accountability. This structural change is the fastest, most effective way to secure America’s AI dominance.

  • H. R. 1 & AI

    Did you know a total of $1,719,000,000 is explicitly allocated to Artificial Intelligence and related initiatives in the H. R. 1 or ‘‘One Big Beautiful Bill Act’’.

    Here is a breakdown of the funding:

    • $450,000,000 for the application of autonomy and artificial intelligence to naval shipbuilding (page 91).
    • $250,000,000 for the expansion of Cyber Command artificial intelligence lines of effort (page 131).
    • $250,000,000 for the advancement of the artificial intelligence ecosystem (page 131).
    • $250,000,000 for the development of the Test Resource Management Center digital test environment (page 131).
    • $250,000,000 for the acceleration of the Quantum Benchmarking Initiative, a key component of future AI development (page 131).
    • $145,000,000 for the development of artificial intelligence to enable one-way attack unmanned aerial systems and naval systems (page 131).
    • $124,000,000 for improvements to Test Resource Management Center artificial intelligence capabilities (page 130).

    Additionally, under the U.S. Customs and Border Protection section, $1,076,317,000 is allocated for non-intrusive inspection equipment, which includes funding for Artificial Intelligence (AI) and Machine Learning (ML), though a specific amount for AI is not broken out from this total (page 423).

  • Request for Information on the Development of an Artificial Intelligence (AI) Action Plan

    In February 2025, on behalf of the Office of Science and Technology Policy (OSTP), the Networking and Information Technology Research and Development (NITRD) National Coordination Office (NCO) issued a Request for Information (RFI) seeking input from all interested parties on the development of an Artificial Intelligence (AI) Action Plan. The OSTP and NCO currently do not have their own dedicated website.

    The OSTP advises the President on science and technology policies, while the NITRD program coordinates federal investments in advanced information technology research. The NCO serves as the coordination office for NITRD, facilitating collaboration across agencies.

    A Request for Information (RFI) is a formal government solicitation seeking public input on specific topics to help shape future policies or initiatives. In this case, the RFI invites feedback to guide the AI Action Plan, which was mandated by a Presidential Executive Order on January 23, 2025. The Plan will define priority policy actions to maintain and strengthen America’s leadership in AI while ensuring that unnecessary regulatory burdens do not stifle private sector innovation.

    To develop a well-informed strategy, OSTP and NITRD NCO are collecting input from academia, industry groups, private sector organizations, state, local, and tribal governments, and the general public. As AI continues to shape industries, influence policymaking, and impact society in profound ways, this initiative is essential for fostering responsible AI development while promoting innovation and protecting public interests.

    Their webpage on the Federal Register states that interested parties are encouraged to submit comments by 11:59 p.m. (ET) on March 15, 2025.

    Below is the AI Action Plan we submitted via email to the OSTP:

    In February 2025 the Office of Science and Technology Policy (OSTP), the NITRD NCO requested input from all interested parties on the Development of an Artificial Intelligence (AI) Action Plan (“Plan”).

    Here is our AI Action Plan we emailed the OSTP:

    Response to Request for Information on the Development of an Artificial Intelligence (AI) Action Plan

    Submitted by: Department of Technology at www.department.technology
     Date: Saturday, February 15th, 2025

    Statement of Public Dissemination:
    This document is approved for public dissemination. The document contains no business-proprietary or confidential information. Document contents may be reused by the government in developing the AI Action Plan and associated documents without attribution.

    Establishing a Department of Technology for AI Governance

    To effectively navigate the opportunities and challenges presented by artificial intelligence (AI), the U.S. must establish a Department of Technology led by elected technology officials. This structure ensures transparency, accountability, and alignment with national priorities, fostering AI innovation while safeguarding ethical standards. Given AI’s growing role in critical infrastructure, economic competitiveness, and national security, a dedicated governance body is necessary to guide policy and investment effectively.

    1. AI Hardware and Infrastructure

    Policy Action:

    • Establish federal funding programs to support AI hardware development, including domestic semiconductor manufacturing and high-performance computing systems, with an initial investment of $5 billion .
    • Develop public-private partnerships to build and maintain energy-efficient AI data centers, integrating small modular reactors (SMRs) for sustainable power, with a 60-40 government-industry investment split.
    • Create a national AI infrastructure roadmap to ensure widespread access to computing resources for researchers, startups, and government agencies, with oversight by the newly created Department of Technology.

    2. AI Model Development and Open-Source AI

    Policy Action:

    • Promote open-source AI initiatives with government-backed funding and regulatory frameworks to prevent monopolization of AI technologies, ensuring accessibility across industries.
    • Develop federal standards for AI model transparency and ethical use, aligning with NIST guidelines to enhance fairness, security, and accountability.
    • Mandate AI model validation processes to verify performance, safety, and risk mitigation before deployment in critical sectors, with certification overseen by an independent regulatory body.

    3. Cybersecurity, Data Privacy, and AI Safety

    Policy Action:

    • Implement mandatory AI security risk assessments for all federally deployed AI systems, overseeing, correcting, and modifying recommendations from CISA and NIST.
    • Strengthen data privacy laws by amending the Federal Data Protection Act to explicitly regulate AI-driven data collection and usage .
    • Establish a National AI Safety Board to investigate and mitigate AI-related security threats and breaches, modeled after the National Transportation Safety Board.

    4. National Security and Defense Applications of AI

    Policy Action:

    • Require democratic oversight of AI defense applications through regular congressional briefings and independent audits, ensuring adherence to ethical military AI standards.
    • Develop international AI defense cooperation agreements with allied nations to align security protocols and prevent or mitigate an AI arms race .
    • Ensure AI autonomy limits in warfare, mandating human oversight in all military AI decision-making processes, as outlined in the U.S. Department of Defense’s AI Ethical Principles.

    5. Regulation, Governance, and Technical Standards

    Policy Action:

    • Establish a Technology Ethics and Standards Office within the proposed Department of Technology to oversee AI regulations and compliance, coordinating with agencies such as the FTC and DOJ.
    • Mandate transparent reporting requirements for companies developing AI systems with national security or critical infrastructure implications, ensuring accountability through public disclosures.
    • Create adaptive regulatory frameworks that evolve alongside AI advancements, incorporating annual review mechanisms to prevent bureaucratic stagnation.

    6. Research, Education, Workforce Development, and Innovation

    Policy Action:

    • Fund AI-focused STEM education programs at all academic levels to build a robust AI-skilled workforce, with $2 billion allocated to K-12 and university-level AI education initiatives.
    • Establish AI innovation hubs in collaboration with universities and industry leaders to accelerate research and commercialization, modeled after DARPA’s AI investments .
    • Implement AI retraining programs for workers displaced by automation, offering incentives for businesses that support workforce transitions through AI upskilling initiatives.

    Summary

    A Department of Technology led by elected officials will provide a structured and accountable governance model for AI development in the U.S. This proposal aligns with the goals outlined in the AI Action Plan RFI by ensuring transparency, security, and innovation in AI governance. Through these policy actions, the U.S. can maintain its leadership in AI while safeguarding national interests and public trust. A balanced approach between regulation and innovation will empower the private sector while ensuring AI’s ethical and safe development.

    For further inquiries or collaboration, please contact: technology@department.email

    Request for Information on the Development of an Artificial Intelligence (AI) Action PlanDownload

  • Physical Artificial Intelligence Labeling: A Critical Framework for Transparent Human-Machine Integration

    Physical Artificial Intelligence Labeling: A Critical Framework for Transparent Human-Machine Integration

    As Physical Artificial Intelligence (PAI) systems like Agility Robotics’ Digit and Nvidia’s Project Groot-powered humanoids transition from labs to factories, homes, and public spaces, the line between autonomous machines and everyday tools grows increasingly blurred. At CES 2025, Nvidia CEO Jensen Huang emphasized that PAI’s capacity to “understand physics and generalize skills across environments” demands new accountability frameworks. BMW’s deployment of Figure AI robots in Spartanburg assembly lines and Walmart’s adoption of 1,000 Digit units for inventory management—advancements occurring alongside rising concerns about safety, privacy, and ethical governance underscores this urgency.

    Our PAI label proposal from the Department of Technology, akin to nutritional or energy efficiency certifications, offers a standardized mechanism to demystify these technologies for consumers while ensuring responsible development.

    Defining the PAI Label in an Era of Embodied Cognition

    A visible certification mark, a PAI label, would denote products that use artificial intelligence for autonomous interaction with the physical world. Unlike conventional AI systems limited to data processing, PAI integrates sensorimotor coordination, environmental adaptability, and decision-making rooted in physical laws—capabilities exemplified by Covariant’s robotic arms (99% accuracy in parcel sorting) and MIT’s liquid network drones. From humanoid assistants like Diligent Robotics’ Moxi to autonomous construction robots at ETH Zurich, the label would apply to any device employing AI to manipulate its surroundings, whether through movement, object interaction, or real-time environmental analysis.

    Crucially, the label would distinguish PAI from passive AI tools. For instance, a smart speaker using voice recognition lacks physical agency, whereas Boston Dynamics’ Spot robot—which inspects hazardous sites via autonomous navigation and sensor fusion—embodies PAI’s dual cognitive-physical nature. This distinction ensures consumers recognize when a device’s actions could directly impact their safety or privacy.

    The Imperative for PAI Labeling

    Bridging the Transparency Gap in Autonomous Systems

    As PAI permeates daily life—from healthcare robots handling sensitive patient data to drones mapping disaster zones—consumers face opacity in how these systems operate. A 2024 ABI Research study found that 68% of users underestimated the data-collection capabilities of household robots. The PAI label would mandate disclosures answering critical questions:

    Data practices: Does Agility Robotics’ Digit, deployed in Walmart warehouses, retain employee interaction logs?

    Decision-making autonomy: How does Figure AI’s humanoid prioritize tasks when assembly-line conditions change?

    Safety protocols: What fail safes exist if a liquid network drone malfunctions mid-flight?

    By requiring plain-language explanations akin to FDA nutrition labels, the PAI framework would demystify systems that currently function as “black boxes.”

    Rebuilding Trust Through Standardized Certification

    Trust in PAI hinges on verifiable safety and ethical benchmarks. Nvidia’s Isaac Sim already trains robots using synthetic scenarios like slippery floors or obstructed pathways, simulating 10,000+ edge cases per model. A PAI label could institutionalize such testing, ensuring devices meet standardized thresholds for collision avoidance, data encryption, and bias mitigation before deployment. Drawing parallels to UL certification or Energy Star ratings, this label would assure consumers that certified products adhere to rigorous interdisciplinary standards spanning robotics, cybersecurity, and AI ethics.

    Safeguarding Privacy in an Age of Ambient Intelligence

    PAI devices inherently collect sensitive physical data: humanoid nurses monitor patient gait patterns; warehouse robots map facility layouts; autonomous drones record geospatial imagery. Without regulation, this data risks misuse—a concern amplified by MIT’s finding that 43% of commercial robots transmit unencrypted sensor data. The PAI label would enforce GDPR-like mandates, requiring:

    End-to-end encryption for all sensor-derived data

    Clear user controls over data retention periods

    Prohibition of biometric data monetization

    For example, a PAI-labeled smart camera would disclose its adherence to these protocols, unlike uncertified alternatives potentially selling facial recognition data to third parties.

    Catalyzing Ethical Innovation

    The label would incentivize manufacturers to adopt ethical design practices. Consider the EU’s PAI4Good initiative, which funds assistive exoskeletons and wildfire-fighting drones—use cases prioritizing societal benefit over profit. By tying certification to ethical benchmarks, the PAI framework could steer development toward inclusive applications while penalizing harmful ones like autonomous weaponry or exploitative labor replacement.

    Operationalizing the PAI Label

    Certification Architecture

    A PAI regulatory body, modeled after the FCC or FDA, would oversee certification through:

    Technical audits: Evaluating sensor data-handling, autonomy algorithms, and hardware safety (e.g., force limiters on robotic joints)

    Ethical reviews: Assessing compliance with frameworks like IEEE’s Ethically Aligned Design

    Continuous monitoring: Mandating OTA updates for vulnerability patches and annual recertification

    Manufacturers like Tesla or Boston Dynamics would submit prototypes for testing in accredited facilities like Nvidia’s Isaac Labs, where robots face randomized physical challenges—from navigating cluttered rooms to recovering from sensor failures.

    Label Design and Consumer Education

    The label itself would feature:

    A universal symbol (e.g., a stylized robot icon with AI brain)

    QR code linking to detailed specifications: data policies, autonomy levels, safety certifications

    Color-coded tiers indicating autonomy intensity:

    Tier 1: Partial autonomy (e.g., robot vacuums)

    Tier 2: Context-aware autonomy (e.g., delivery drones)

    Tier 3: Full cognitive-physical integration (e.g., humanoid caregivers)

    Public campaigns, similar to anti-counterfeiting initiatives, would educate consumers on interpreting these tiers through partnerships with retailers and tech influencers.

    Benefits Across the Ecosystem

    Empowering Informed Consumption

    A PAI-labeled product enables consumers to:

    Compare privacy policies between Agility Robotics’ Digit and competitors

    Verify if a child’s educational robot complies with COPPA data standards

    Assess whether an autonomous vehicle’s decision-making aligns with NHTSA guidelines

    This transparency is critical as PAI moves into sensitive domains like healthcare, where Diligent Robotics’ Moxi handles pharmaceuticals and patient records.

    Driving Responsible Industrial Innovation

    For manufacturers, certification creates:

    Market differentiation: Covariant’s 99% accuracy certification becomes a selling point against uncertified rivals

    Regulatory clarity: Unified standards reduce compliance costs across regions

    Ethical branding: Participation signals commitment to UNESCO’s AI ethics recommendations

    BMW’s partnership with Figure AI exemplifies this, leveraging certification to justify robot deployment in unionized factories.

    Societal Safeguards and Ethical Progress

    At scale, PAI labeling could:

    Prevent accidents: Enforcing Isaac Sim-validated safety protocols reduces workplace injuries

    Mitigate bias: Audits of training data ensure hospital robots don’t prioritize patients by demographics

    Promote low-income communities AI Participation: Grants for PAI4Good-certified projects prioritize underserved communities’ needs in inner-city communities or low-income.

    Summary

    Toward Symbiotic Human-PAI Coexistence

    Our PAI label represents more than a compliance marker—it’s a covenant between innovators and society. As MIT’s liquid networks and Nvidia’s embodied AI redefine machinery’s role, labeling ensures this revolution remains accountable. By illuminating the inner workings of autonomous systems, the framework empowers consumers to trust, critique, and guide PAI’s evolution. Manufacturers gain not constraints, but clarity—a roadmap for ethical distinction in a crowded market. Policymakers, armed with standardized metrics, can craft nuanced regulations rather than reactive bans.

    The alternative—a fragmented landscape where opaque algorithms dictate physical actions—risks eroding public trust and stifling innovation. Just as nutrition labels transformed food safety without hampering culinary creativity, PAI certification can steward humanity’s next technological leap, ensuring physical AI serves as a force for responsible technology progress. The time to implement this standard is now, before the next generation of autonomous systems embeds itself invisibly into our world.

    The Department of Technology’s vision for electing technology leaders could be a game-changer in creating effective, transparent Physical AI (PAI) labeling. This approach empowers consumers to hold manufacturers accountable while promoting innovation that benefits society. To understand how this governance model can lead to safer and more ethical AI integration, we encourage you to read and share this insightful article with others. Help spread the word!

  • The Time for a Department of Technology Is Now

    Technology is at the heart of modern governance. From cybersecurity threats to AI policy, from broadband expansion to AI access, technology is shaping every aspect of our lives. Yet, our government lacks a unified, structured leadership framework to address these challenges effectively. The solution? A dedicated Department of Technology (DoT) at the federal, state, county, and local levels, led by elected and appointed officials who can ensure a coordinated, transparent, and forward-thinking approach to public technology policy.

    A Vision for the Future

    Imagine a government where technology decisions are made with expertise, foresight, and accountability. The proposed Department of Technology would establish leadership roles at all levels:

    • Federal Level: A Secretary of Technology, appointed by the President and confirmed by the Senate, would oversee national digital infrastructure, cybersecurity, AI regulation, and technological innovation.
    • State Level: A State Secretary of Technology, elected by voters, would manage statewide digital policies, broadband expansion, and cybersecurity resilience.
    • County Level: A Supervisor of Technology, elected county-wide, would oversee regional tech projects, public digital services, and local cybersecurity.
    • Local Level: A Director of Technology, elected by city or town voters, would handle smart city initiatives, public Wi-Fi programs, and data protection policies.

    Why Now? The Urgency of Action

    Our current approach to technology governance is fragmented. Agencies operate in silos, cybersecurity threats go unanswered, and public trust in digital systems is shaky. The Department of Technology would streamline decision-making and ensure inter-agency collaboration, with synchronized four-year terms aligning with presidential elections to maintain national, state, and local synergy.

    Key benefits include:

    • Improved cybersecurity coordination across all levels of government.
    • Standardized AI and data privacy regulations for consistency and trust.
    • Enhanced digital infrastructure investments in rural and underserved areas.
    • Faster response to emerging tech challenges, from misinformation to digital threats.

    Bridging the Gap Between Policy and Innovation

    Without dedicated leadership, technology policy is often reactive instead of proactive. Establishing the Department of Technology would ensure expertise-driven decision-making, balancing technological progress with ethical considerations and legal safeguards.

    Lawmaking needs to keep pace with innovation. With AI, blockchain, and quantum computing advancing rapidly, we cannot afford legislative lag. The DoT would be a hub for policy innovation, ensuring the U.S. remains a global leader in tech governance.

    Why the Department of Technology is Different

    Unlike existing agencies, listed below, our proposed Department of Technology would be a centralized, voter-accountable entity overseeing broad tech governance, AI policy, cybersecurity, and digital infrastructure—with leadership elected at all levels of government.

    Federal Agencies

    • Office of Science and Technology Policy (OSTP) – Advises the President on technology and science policies but lacks enforcement power.
    • National Telecommunications and Information Administration (NTIA) – Oversees broadband policy and internet governance.
    • Cybersecurity and Infrastructure Security Agency (CISA) – Protects government networks and critical infrastructure from cyber threats.
    • Federal Communications Commission (FCC) – Regulates telecommunications, broadband, and media policy.
    • National Institute of Standards and Technology (NIST) – Develops technology and cybersecurity standards.

    The rapid pace of technological advancements outstrips the ability of existing agencies to adapt. By the time a regulatory response is formulated, new challenges—such as cybersecurity threats or AI ethics concerns—may have emerged. To reiterate, these agencies and roles operate in silos, which leads to fragmented approaches to technology regulation. There is no cohesive, unified strategy for addressing the full spectrum of technological challenges (e.g., cybersecurity, AI governance, digital privacy, and broadband expansion).

    State & Local Efforts

    • Some states have Chief Information Officers (CIOs) or Offices of Digital Services, but they lack voter accountability and broad regulatory power.

    Local governments often have Chief Technology Officers (CTOs) or Innovation Offices, but these roles vary widely in scope and authority.

    At the state and local levels, many technology positions (CIOs, CTOs) lack voter accountability, meaning that these roles are not directly accountable to the people, which can lead to decisions that may not align with public interests or needs.

    Summary

    We have a choice: Continue with outdated bureaucratic structures that struggle to keep up, or establish a streamlined, voter-accountable system that prioritizes technological excellence and public trust.

    Lawmakers, technology leaders, and engaged citizens—this is the moment to act. Support the creation of the Department of Technology and advocate for smarter, more responsible, and future-focused tech governance.

    The future won’t wait. Neither should we.

  • Why Quantum Computing Should Be an Open-Source International Effort

    As quantum computing inches closer to becoming a reality, it’s clear that this revolutionary technology holds the potential to transform industries, economies, and even the very fabric of modern security. But alongside this promise come big questions about who will have access to this power, how it will be developed, and whether its benefits will be shared equitably across the globe. Here’s a thought: what if quantum computing were to become an open-source, international effort?

    Imagine quantum technology developed by a diverse community of scientists, engineers, and thinkers worldwide, working openly and collaboratively to solve humanity’s most pressing problems. Here’s why that vision could be exactly what we need—and the obstacles we’ll need to address to make it happen.

    The Case for Open-Source Quantum Computing

    An open-source, collaborative approach to quantum computing would bring clear benefits, particularly in accelerating breakthroughs and making the technology more accessible and equitable. Here are some of the compelling reasons for an open-source model:

    1. Accelerated Research and Development

    Collaboration has driven the rapid evolution of fields like artificial intelligence, where open-source projects like TensorFlow and PyTorch have empowered developers globally. In the quantum realm, an open-source approach could similarly ignite a wave of innovation by enabling scientists worldwide to contribute, share insights, and refine each other’s work. When thousands of minds work toward the same goal, progress accelerates, and unexpected breakthroughs become possible.

    IBM’s Qiskit, an open-source quantum software framework, has already demonstrated that community contributions can help refine software, develop new algorithms, and fuel creativity in tackling quantum’s unique challenges. If we take this open approach to the next level, we could lay a foundation for quantum technology that benefits everyone, not just a select few.

    1. Shared Resources and Cost Efficiency

    Building a quantum computer is an expensive and resource-intensive endeavor. Only a few corporations and governments can afford the infrastructure, materials, and expertise needed to drive meaningful progress. An international, open-source approach could spread the financial and technical burden across organizations, making the technology more accessible and reducing duplicated efforts.

    One powerful example is CERN, the European Organization for Nuclear Research, where an international collaboration funds and operates the world’s largest particle accelerator. A similar model could allow for shared quantum research facilities, enabling smaller institutions to participate in quantum research and development without shouldering the entire financial load.

    1. Standardization and Interoperability

    One of the biggest challenges in quantum computing today is the lack of standardized protocols. Each company often has its own unique qubit architecture and development environment, making it difficult to integrate systems, share code, or collaborate on applications. By making quantum computing an international, open-source effort, we could collectively establish universal standards and protocols, making it easier for systems, hardware, and software to interoperate.

    An international body akin to the World Wide Web Consortium (W3C), which governs internet standards, could guide these standards, helping ensure that quantum computing develops in a way that’s compatible and accessible globally.

    1. Broadening Access and Fostering Innovation

    Making quantum computing open-source democratizes access to cutting-edge technology. Instead of breakthroughs being confined to the labs of only a few corporations, anyone with the necessary expertise and interest could contribute. Imagine the benefits of having a global community that includes researchers from diverse backgrounds, institutions, and countries—all contributing new perspectives to the field.

    When communities come together in an open-source environment, they often reveal novel applications and solutions that no single organization might have discovered on its own. This collaborative diversity could be a significant driver for innovation.

    1. Ethics, Transparency, and Global Trust

    Quantum computing has profound ethical implications, especially in fields like encryption and artificial intelligence. By making research open-source, we can develop this technology with transparency, ensuring that ethical considerations and public trust are prioritized. An open, international approach would allow us to establish ethical standards collectively, preventing the misuse of quantum computing for surveillance, cyber warfare, or other potentially harmful applications.

    Challenges and Risks of an Open Quantum Future

    While the benefits are clear, an open-source international approach to quantum computing also comes with unique risks and challenges that must be addressed:

    National Security and Economic Concerns

    Quantum computing poses a direct threat to encryption and security protocols, making it a sensitive topic for national security. Countries may be understandably hesitant to open up quantum research when the technology could enable other nations to break cryptographic codes or gain a technological edge.

    Solution: One option could be to adopt a hybrid approach, where general quantum research is open, but sensitive applications in cryptography and cybersecurity are carefully controlled. This balance could allow for open progress while protecting national security interests.

    Intellectual Property and Competitive Advantage

    For companies and countries, quantum computing represents a significant investment with the potential for economic and competitive gain. Opening up research might be perceived as giving away hard-won advantages, making organizations reluctant to share their work.

    Solution: Governments could incentivize open-source contributions by providing grants, tax breaks, or co-funding, especially for foundational quantum technologies. This could encourage companies to participate in collaborative efforts without feeling they’re giving away their “edge.”

    Ethical and Security Oversight

    Without oversight, there’s a risk that open-source quantum technology could be misused, especially in sensitive applications like surveillance or warfare. A collaborative model would require careful management to ensure that the technology is used responsibly.

    Solution: An international regulatory body, similar to the International Atomic Energy Agency (IAEA), could oversee quantum research, ensuring it adheres to ethical and security guidelines while allowing for open collaboration.

    Coordination and Technical Challenges

    Quantum computing requires both advanced hardware and software, making large-scale coordination tricky. Different countries have different levels of expertise and resources, which can create imbalances in the collaboration.

    Solution: A central international framework could outline shared goals, development milestones, and resource distribution. This would help ensure that global efforts stay on track, with clear roles for different contributors.

    The Ideal Model: A Balanced Approach

    Given the challenges, a fully open-source model might not be feasible. Instead, a balanced approach could offer the best of both worlds, with open-source collaboration on non-sensitive aspects of quantum research and selective restrictions where necessary.

    Here’s what that might look like:

    1. Open-Source Software and Algorithms: Keep software development open, allowing researchers worldwide to contribute code, test new algorithms, and share findings.
    2. Collaborative Hardware Research: Governments and companies could jointly fund hardware development, maintaining open collaboration on foundational technologies while allowing proprietary solutions where appropriate.
    3. International Standards and Ethical Oversight: An international body could define and enforce ethical standards and security protocols, ensuring that the open-source model is both safe and responsible.

    A Path Forward for Quantum’s Promise

    Quantum computing has the potential to redefine computing and solve some of our biggest challenges, from complex simulations to optimization in logistics, healthcare, and finance. By making it an open-source, international effort, we could accelerate breakthroughs, democratize access, and create technology guided by ethical principles that serve the global good.

    The path to achieving this vision will require balancing openness with security, competitiveness with collaboration, and innovation with ethics. If we succeed, we’ll create a quantum future that’s not just powerful but also equitable, inclusive, and truly transformative.

    Summary

    Why an Open-Source International Effort in Quantum Computing is a Public Necessity

    Imagine a world where cancer is no longer a deadly mystery, where renewable energies power our planet sustainably, and where complex challenges, from climate change to resource scarcity, are met with solutions that today we can scarcely envision. Quantum computing holds the power to transform these visions into realities by enabling breakthroughs that are currently beyond our technological reach. But to unlock its full potential for humanity, quantum computing must be developed as an open-source, international effort.

    Here’s why.

    Quantum computing can simulate molecular structures and chemical reactions with precision far beyond what classical computers can achieve. This capacity means that, with the right tools, we could revolutionize medicine. Complex diseases, genetic disorders, and cancer could become curable as researchers leverage quantum algorithms to discover new drug compounds, model biological processes, and craft treatments tailored to individual patients. By making quantum computing open-source, we empower scientists worldwide to pursue these advances without the financial or technical barriers that limit so much of today’s medical research.

    In the realm of renewable energy, quantum computing could bring us closer to harnessing nuclear fusion—the Holy Grail of clean, limitless energy. Modeling and controlling fusion reactions requires solving incredibly complex equations that classical computers struggle to handle. Quantum computing, however, could make the nearly impossible possible, speeding up the development of fusion energy and driving down costs for other renewable technologies, like solar cells and wind turbines. Imagine an era where quantum computing helps the world’s best scientists and engineers, regardless of nationality or resources, work together on the most promising clean energy solutions to halt climate change.

    Beyond medicine and energy, the open-source quantum model promises widespread innovation in areas as diverse as agriculture, logistics, cybersecurity, and artificial intelligence. Quantum computers could optimize food supply chains to reduce waste and improve food security, design smarter grids that deliver power more efficiently, and create encryption techniques resilient to cyber threats. An open-source approach allows this technology to grow beyond the labs of a select few, ensuring that the benefits of quantum computing are directed toward the public good, not just corporate profit.

    However, a fully open-source approach to quantum computing must be done thoughtfully. We recognize that national security and economic interests are significant concerns, but the stakes are too high to leave quantum computing to a handful of privileged companies and countries. By setting ethical standards, establishing international oversight, and prioritizing public-benefit applications, we can responsibly navigate the risks while unlocking quantum computing’s transformative potential for all.

    The case for an open-source, international approach to quantum computing is about making sure the technology serves everyone, everywhere. When we open quantum computing to the world, we increase our chances of solving humanity’s greatest challenges—creating a future where the power of this technology isn’t limited to the few but is instead harnessed for the good of all.

    The promise of quantum computing isn’t just theoretical. It’s a real opportunity to change our world for the better, and an open-source international effort is the path that best ensures its benefits are directed toward cures, solutions, and a sustainable future. The journey toward this vision is challenging, but the rewards—clean energy, cures for diseases, resilient infrastructures, and a healthier, more equitable world—are well worth it.

  • Establishing a Department of Technology: Balancing Innovation with Accountability

    In our rapidly evolving digital age, technology has become the backbone of society, influencing every aspect of our lives. To harness its potential while safeguarding public interests, we propose the establishment of a Department of Technology (DoT) at all levels of government—federal, state, county, and local. This department would serve as a centralized body to manage and innovate technology initiatives, ensuring they align with public needs and remain competitive on a global scale.

    The Dual Mandate: Innovation and Accountability

    Our Department of Technology primary mission would be twofold:

    1. Drive Technological Innovation: Develop, implement, and oversee forward-thinking technology policies that serve the public good.
    2. Ensure Robust Accountability: Maintain transparency and ethical standards through a comprehensive system of checks and balances.

    Key Oversight Mechanisms

    To achieve this balance, we propose the following oversight structures:

    1. Leadership Accountability

    • Implement term limits for elected technology officials
    • Conduct annual performance evaluations by an independent body

    2. Oversight Committees

    • Establish a Technology Oversight Committee (TOC) with diverse stakeholders
    • Create an Ethics Committee to address conflicts of interest

    3. Transparency Initiatives

    • Launch open data initiatives to publish performance metrics and budgets
    • Hold regular public hearings for community feedback

    4. Regular Audits and Assessments

    • Conduct independent financial and compliance audits
    • Perform impact assessments on all major technology initiatives

    5. Stakeholder Engagement

    • Form advisory boards with community, industry, and academic representatives
    • Implement public feedback platforms for ongoing citizen input

    6. Cross-Department Collaboration

    • Create cross-agency teams to foster collaboration
    • Develop a coordinated, government-wide technology strategy

    7. Whistleblower Protections

    • Implement secure, anonymous reporting systems
    • Provide support programs for whistleblowers

    8. Legislative Oversight

    • Require regular reporting to legislative bodies
    • Establish legislative review processes for significant initiatives

    9. Legal and Regulatory Framework

    • Develop clear legal guidelines for department operations
    • Conduct periodic reviews of relevant laws and regulations

    10. Performance Metrics

    • Establish key performance indicators (KPIs) for technology initiatives
    • Regularly review and adapt strategies based on KPI assessments

    A Vision for the Future

    By establishing a Department of Technology with these robust oversight mechanisms, we can create a technological landscape that is not only innovative and efficient but also transparent, ethical, and responsive to public needs. This structure will enable us to:

    • Harness technology’s potential for public benefit
    • Ensure responsible and accountable governance of technology initiatives
    • Foster innovation while maintaining ethical standards
    • Create a more equitable and prosperous digital society

    As we embrace the technological future, let us do so with a commitment to both progress and accountability. The proposed Department of Technology, guided by these principles, can lead the way in shaping a technological ecosystem that truly serves and empowers all citizens.

  • Empowering Mobile and Manufactured Home Communities: The Role of Local Technology Advisory Councils (LTACs)

    As technology continues to shape and revolutionize our daily lives, it’s critical that every community has a voice in the technological decisions that affect them. This is especially true for mobile and manufactured home communities, where access to reliable technology and digital services is often limited. At the Department of Technology, we propose the creation of Local Technology Advisory Councils (LTACs) to give mobile and manufactured home residents the representation they need. These councils would ensure that technology infrastructure and policy decisions are driven by community needs, ethical standards, and digital access.

    For mobile and manufactured home communities, LTACs would focus on overcoming specific challenges—including the unique issue faced by many homeowners who rent the land on which their home sits. In parks owned by predatory companies, homeowners can find themselves in an especially precarious situation, unable to influence improvements to infrastructure, including internet access. LTACs would give these residents a platform to advocate for their technological rights and bring much-needed balance to these unequal dynamics.

    What Are Local Technology Advisory Councils (LTACs)?

    Local Technology Advisory Councils are community-based groups designed to bridge the gap between residents, local governments, Departments of Technology, and technology providers. Their primary goal is to identify technology needs, ensure fair access to resources, and drive infrastructure development that benefits everyone in the community. For mobile and manufactured home residents, LTACs would serve as an essential platform for advocating improvements to internet access, mobile coverage, and overall digital inclusion.

    Why Are LTACs Crucial for Mobile and Manufactured Home Communities?

    In many mobile and manufactured home communities, access to high-speed internet is either unreliable, too expensive, or nonexistent. This is especially true in rural or underserved areas where technology providers have been slow to expand infrastructure. Limited internet access can hinder educational opportunities, restrict telehealth access, limit remote work options, and prevent access to smart home technologies—disadvantages that disproportionately affect mobile and manufactured homeowners and renters.

    Furthermore, many homeowners in these communities rent the land their homes sit on. This arrangement can create an especially vulnerable situation, particularly if the park is owned by a predatory company. Predatory landlords often prioritize profit over the well-being of their tenants, making little to no investment in infrastructure improvements like high-speed internet or modern mobile networks. For these homeowners, LTACs provide a means to push back, demand improvements, and create a unified voice advocating for fairer treatment and better technology.

    By establishing LTACs for mobile and manufactured home communities, residents will have the power to influence the decisions that affect their digital lives. These councils can help ensure that technology investments are made with their best interests in mind, rather than the financial interests of predatory park owners.

    The Benefits of Renters and Owners Working Together

    A core principle of LTACs is that they unite renters and homeowners in their shared goal of improving technology access. Although renters and owners may face different challenges, they both benefit from enhanced internet connectivity, reliable mobile networks, and fair treatment from technology providers and landlords. By working together, they can ensure that the specific needs of mobile and manufactured home communities are addressed.

    When renters and owners collaborate within an LTAC, they can:

    1. Identify and Address Common Problems: Issues like poor internet service, weak mobile reception, and outdated infrastructure affect all residents, regardless of whether they own or rent their homes.
    2. Propose Practical Solutions: By coming together, renters and owners can develop strategies that are feasible for both the community and local governments, such as advocating for municipal broadband or working with private providers to install modern infrastructure.
    3. Engage Directly with Local Governments and Providers: LTACs serve as a formalized platform for residents to communicate their needs to local officials and internet providers, ensuring that their voices are heard in decision-making processes.
    4. Protect Against Predatory Landowners: For homeowners renting their land, LTACs provide a way to collectively negotiate with park owners for better technology and infrastructure. This can include efforts to bring in competition among internet providers or even working with local governments to introduce affordable public broadband options.
    5. Promote Digital Access and Community Resilience: Technology is essential not just for convenience but also for safety and well-being. With improved internet and mobile services, mobile and manufactured home communities can better access emergency services, keep up with vital information, and ensure a stronger, more connected community.

    Addressing the Vulnerabilities of Homeowners Renting Their Land

    One of the most pressing issues in mobile and manufactured home communities is the fact that many homeowners don’t own the land on which their home resides. This leaves them at the mercy of landowners—who may be predatory—and limits their ability to influence improvements to infrastructure. In parks owned by profit-driven companies, technology upgrades such as high-speed internet access are often neglected, as landlords focus on maximizing rent rather than investing in the community.

    LTACs would provide homeowners a collective voice to demand better services. These councils would allow residents to unite and push for infrastructure investments that benefit all, while also providing a mechanism for holding park owners accountable for their responsibilities. With LTACs, homeowners would no longer be isolated in their demands for better internet or mobile coverage; instead, they would have the collective power of their entire community behind them.

    How Would LTACs Be Established?

    The establishment of LTACs would involve collaboration between mobile home park residents, renters, homeowners, tenant associations, local governments, and technology providers. Here’s how it might work:

    1. Community Mobilization: Homeowners, renters, and other stakeholders would form an initial advisory group dedicated to addressing technology needs within their community.
    2. Collaboration with Local Government: This group would approach local government officials to formally establish an LTAC, ensuring that it has the legal standing to make recommendations and represent the community in technology-related discussions.
    3. Engagement with Technology Providers: The LTAC would work with internet service providers, mobile network operators, and other technology companies to identify gaps in infrastructure and negotiate improvements that benefit all residents.
    4. Ongoing Advocacy: The LTAC would meet regularly to assess ongoing technology issues, propose new solutions, and monitor the progress of technology upgrades and infrastructure improvements.

    When Should LTACs Be Established?

    The time to establish LTACs is now. As technology becomes increasingly essential for day-to-day living, mobile and manufactured home residents cannot afford to be left behind. By forming LTACs today, communities can begin to address their technology needs, advocate for better services, and ensure a more equitable distribution of digital resources.

    Where Should LTACs Be Focused?

    While LTACs would benefit mobile and manufactured home communities everywhere, they are particularly needed in rural and underserved areas where internet service is spotty or nonexistent. By focusing on these regions, LTACs can help close the digital divide and ensure that all communities, regardless of location or ownership status, have access to modern technological resources.

    Summary

    Mobile and manufactured home communities are home to diverse groups of people, including low-income families, veterans, retirees, and the elderly. These residents, like all of us, deserve access to reliable internet and modern technology infrastructure. However, they often face unique challenges in securing these essential services.

    By coming together to form Local Technology Advisory Councils (LTACs), these communities can unite their voices—regardless of whether they rent or own their homes. These councils provide a platform for residents to advocate for their rights and push for necessary technological improvements.

    LTACs are particularly valuable for homeowners who rent their land, especially in parks owned by companies that may prioritize profits over resident well-being. These councils give residents the collective power to demand better services and hold park owners accountable, helping to level the playing field.

    Through LTACs, mobile and manufactured home communities could take an active role in shaping their technological future. This empowerment ensures that these vital communities are not left behind in our rapidly advancing digital age, but instead have the tools and infrastructure they need to thrive.

    Scenarios

    Scenario 1: The Formation of a Unified LTAC Coalition in Multiple States

    Mobile and manufactured home park residents from several states come together to form a coalition of Local Technology Advisory Councils (LTACs). These councils represent the interests of mobile homeowners who rent land, with a special focus on those who live in parks owned by predatory companies.

    The coalition holds virtual meetings to discuss common issues, with residents sharing stories of rent hikes, poor maintenance, and limited access to reliable internet. They recognize the growing trend of predatory landowners squeezing renters by raising rents without making improvements to infrastructure.

    Action Step:

    The coalition decides to use its collective voice to advocate for a federal law that limits rent payments to no more than 25% of a person’s income, particularly in mobile and manufactured home parks. The coalition agrees to mobilize residents, collect data, and create a public-facing website showcasing personal stories of residents harmed by predatory landowners.

    Scenario 2: LTACs Pressure State Legislatures and Organize Public Protests

    As the coalition grows, LTACs across different states begin reaching out to their local state representatives, urging them to take up their cause. They demand a federal law that sets a nationwide limit on rent as a percentage of income, using the 25% figure as their benchmark.

    At the same time, LTACs in high-profile states such as California, Texas, and Florida organize public protests in front of state capitol buildings, bringing attention to the unfair rent burdens placed on homeowners renting land. Using media coverage, social media, and grassroots organizing, the LTACs get the attention of state lawmakers who express support for their cause.

    Action Step:

    A delegation of LTAC members in each state works with legal experts to draft model legislation, which is then sent to state lawmakers. These lawmakers introduce bills in state legislatures that cap rent at 25% of income for land leased in mobile and manufactured home parks. Simultaneously, LTAC members launch a national petition, gathering signatures to pressure Congress for federal action.

    Scenario 3: Coordinating a Federal Lobbying Campaign

    With growing success at the state level, LTAC members from various states travel to Washington, D.C., to lobby their Congressional representatives directly. The coalition arranges meetings with lawmakers who serve on committees relevant to housing and technology infrastructure.

    They present data and testimony showing how predatory practices in mobile home parks have caused financial hardship for homeowners, many of whom are low-income or elderly. In these meetings, LTACs emphasize the connection between fair housing policies and technology access, pointing out that affordable rent will allow more homeowners to invest in reliable internet and other essential utilities.

    Action Step:

    LTAC members team up with national affordable housing advocates and organizations focused on digital accdess to build broader support for the 25% rent cap. They continue to highlight how affordable rent would not only improve the lives of homeowners but also allow for reinvestment in infrastructure that promotes greater access to technology in rural areas.

    Scenario 4: Media Campaign and Grassroots Movement

    To gain further momentum, LTACs launch a national media campaign, sharing their stories through local news outlets, national publications, and social media platforms. Homeowners and renters provide personal accounts of being forced out of their homes due to excessive rent increases and lack of accountability from park owners.

    The LTACs also create online toolkits to help residents across the country contact their Congressional representatives, urging them to support a federal rent cap. The coalition organizes a series of public forums and webinars to educate the public about the 25% income threshold and its potential benefits.

    Action Step:

    With the media campaign in full swing, LTACs organize a national “Day of Action,” where mobile home residents, renters, and advocates visit Congressional district offices in all 50 states. On the same day, LTAC members flood lawmakers’ phone lines and inboxes with requests for action, showing broad-based support for rent reform.

    Scenario 5: Introduction of the Federal Rent Cap Bill

    After months of lobbying and public pressure, a bipartisan group of lawmakers in Congress agrees to sponsor the Fair Rent for Land-Leased Homeowners Act, which mandates that no more than 25% of a household’s income can be used for rent payments in mobile and manufactured home parks. The bill includes provisions for monitoring predatory practices by park owners and establishing a federal oversight body to ensure compliance.

    As the bill moves through committee hearings, LTAC members testify about their experiences and the importance of affordable rent. They underscore how reasonable rent limits will allow homeowners to maintain their housing stability and invest in better technology and internet services, ensuring their communities can thrive.

    Action Step:

    LTACs coordinate with national advocacy groups to rally public support behind the bill, ensuring it gets widespread attention. They organize a letter-writing campaign and work with key senators and representatives to gather votes. The coalition prepares for a final push, recognizing that this federal law will be a groundbreaking victory for housing rights and digital inclusion.

    Scenario 6: Federal Rent Cap Law Becomes Reality

    After sustained effort and advocacy, Congress passes the Fair Rent for Land-Leased Homeowners Act, capping rent payments for mobile and manufactured homeowners at 25% of their income. The law includes measures to protect residents from retaliation, enforce penalties on predatory park owners, and incentivize investment in internet infrastructure in underserved communities.

    LTACs across the country celebrate their victory, knowing that the law will dramatically improve the lives of millions of mobile home residents. Their collective work not only ensures affordable rent but also opens up new opportunities for technology investments in their communities, leading to improved connectivity and access to digital services.

    Final Action Step:

    With the law in place, LTACs continue their work by monitoring enforcement and holding park owners accountable. They work closely with local and state governments to ensure that the law is upheld and to advocate for further technology improvements in their communities. The success of the LTACs inspires other communities to form similar councils, furthering the cause of affordable housing and digital access nationwide.

    Final Thoughts

    Together we can build a future where hope and innovation unite to uplift our most vulnerable communities. A visionary Department of Technology (DoT) could emerge as a beacon of progress, working hand-in-hand with passionate Local Technology Advisory Councils (LTACs) to transform the lives of mobile and manufactured home residents.

    This partnership would be more than just bureaucracy – it would be a powerful alliance of compassionate minds, dedicated to weaving a tapestry of housing security and digital empowerment. Picture a world where the voices of those often left behind resonate in the halls of power, where their struggles and dreams shape the policies that govern their lives.

    Through the DoT’s unwavering commitment, the digital divide would crumble, bringing the life-changing power of the internet to every doorstep, no matter how humble. Families would find themselves connected not just to information, but to a world of opportunities they once thought beyond reach.

    But this vision goes further. Imagine the profound impact of legislation that ensures no one sacrifices their dignity or basic needs to keep a roof over their head. The DoT would champion a future where housing costs for mobile homes are no more than 25% of a resident’s income, freeing families to thrive, not just survive.

    This is more than policy – it’s a promise. A promise that every person, regardless of where they call home, deserves the chance to participate fully in our increasingly digital world. It’s a commitment to fairness, to innovation, and to the unshakeable belief that when we lift up the most vulnerable among us, we all rise together.

    Through the tireless efforts of the DoT and LTACs, we can build a future where technology doesn’t just change the world – it changes lives. A future where every mobile and manufactured home resident knows their voice matters, their struggles are seen, and their potential is limitless. This is the power of compassion, innovation, and unwavering dedication to creating a more just and connected world for all.

    The future we envision – one of equitable housing and universal digital access – is within our grasp. But to make it a reality, we need your voice. Share this vision with your family, friends, and elected officials. Let them see the transformative power of technology when guided by compassion and fairness.

    Together, we can build a movement that refuses to leave anyone behind in our digital age. Your share could be the spark that ignites real change in your community. It could be the reason a family finds stable, affordable housing or a child accesses life-changing online education for the first time.

    Don’t let this message stop here. Spread the word, start conversations, and demand action from your representatives. The path to a more connected, equitable future begins with you. Share this article today and be part of the solution that uplifts us all.