Core Governance Structure Reforms

• Establish a Cabinet-Level Secretary of Technology – Create an elected position responsible for coordinating all federal AI initiatives across agencies • Mandate state-level elected Technology Secretaries – Require states to establish elected positions for AI oversight as condition for federal AI funding • Create elected Technology Supervisors at county level – Establish elected positions for regional AI infrastructure and policy coordination • Implement elected Technology Directors for municipalities – Enable cities to democratically choose their AI governance leaders • Replace Chief AI Officer Council with Democratic Technology Leadership Council – Transform bureaucratic coordination into elected official collaboration

Democratic Accountability Mechanisms

• Require voter approval for major AI initiatives – Subject AI infrastructure projects over $1 billion to local ballot measures • Establish AI policy referendums – Enable communities to vote directly on AI deployment in critical local services • Create technology candidate debates – Mandate public forums for technology leadership candidates to discuss AI policies • Implement AI governance transparency requirements – Require all AI decisions by elected technology leaders to be publicly documented • Enable recall elections for technology officials – Allow voters to remove technology leaders who fail to represent community interests

Restructured Implementation Framework

• Consolidate AI oversight under elected technology departments – Replace fragmented agency approach with unified elected leadership • Establish democratic AI standards setting – Replace bureaucratic standard-setting with processes overseen by elected officials • Create voter-accountable AI procurement – Require elected technology leaders to approve all major government AI contracts • Implement community consent for AI infrastructure – Require approval from elected local technology leaders for data centers and energy projects • Establish democratic AI research priorities – Let elected technology leaders, not appointed officials, set national AI research agendas

Worker and Economic Protections

• Create elected oversight of AI workforce impact – Replace Department of Labor assessments with elected technology leader evaluations • Establish democratic AI job displacement response – Require elected officials to approve worker retraining programs and displacement assistance • Implement voter control of AI economic zones – Subject special AI development areas to approval by elected technology leaders • Create democratic oversight of AI tax incentives – Require elected technology leader approval for AI-related corporate subsidies • Establish community benefit agreements for AI projects – Mandate local elected technology leaders negotiate community benefits from AI investments

Enhanced Privacy and Civil Liberties Safeguards

• Require elected approval for AI surveillance systems – Prohibit government AI monitoring without elected technology leader authorization • Establish democratic data governance – Require elected officials to oversee government AI data collection and use policies • Create voter oversight of AI bias mitigation – Replace bureaucratic fairness assessments with elected official oversight • Implement democratic synthetic media policies – Require elected technology leaders to develop deepfake and misinformation responses • Establish constitutional review by elected officials – Require elected technology leaders to assess First Amendment implications of AI policies

International Relations Reforms

• Include elected technology leaders in AI diplomacy – Add state and local elected technology officials to international AI negotiations • Create democratic oversight of AI export controls – Require elected technology leader approval for major AI trade restrictions • Establish voter input on AI alliance decisions – Subject international AI partnerships to approval by elected federal technology leadership • Implement democratic AI standard-setting internationally – Ensure elected officials, not bureaucrats, represent American AI values abroad • Create technology leader exchange programs – Enable elected technology officials to collaborate directly with democratic allies

Innovation and Competition Improvements

• Establish democratic research funding decisions – Replace bureaucratic grant processes with elected technology leader oversight • Create voter oversight of AI regulatory policy – Require elected technology leaders to approve all AI-related regulations • Implement democratic AI evaluation criteria – Replace expert-driven evaluations with standards set by elected officials • Establish community input on open source AI policy – Require elected local technology leaders to weigh in on open vs. closed AI models • Create democratic oversight of AI startup support – Require elected officials to approve AI accelerator and sandbox programs

Security and Infrastructure Enhancements

• Establish elected oversight of AI security evaluations – Replace purely expert-driven security assessments with elected official oversight • Create democratic AI incident response protocols – Require elected technology leaders to approve AI emergency response plans • Implement voter control of critical AI infrastructure – Subject AI systems protecting essential services to elected official oversight • Establish democratic cybersecurity standards – Require elected technology leaders to set AI cybersecurity requirements • Create community oversight of military AI deployment – Include elected technology leaders in civilian oversight of defense AI systems

Implementation Timeline and Transition

• Phase in elected technology positions over 4 years – Begin with federal and state positions, expand to local levels • Establish interim democratic oversight – Create citizen advisory councils until elected positions can be filled • Require existing officials to seek democratic mandate – Make current AI leaders run for election or step down • Create transition assistance for new elected officials – Provide training and resources for newly elected technology leaders • Establish evaluation metrics for democratic AI governance – Measure success based on voter satisfaction and community outcomes

Funding and Resource Allocation

• Condition federal AI funding on democratic governance – Require elected technology leadership for states and localities to receive AI grants • Create democratic oversight of AI budget allocation – Require elected technology leaders to approve AI spending priorities • Establish voter approval for major AI investments – Subject AI infrastructure spending over threshold amounts to democratic approval • Implement democratic evaluation of AI program effectiveness – Replace bureaucratic assessments with elected official evaluations • Create community reinvestment requirements for AI projects – Require AI initiatives to provide benefits determined by elected local technology leaders

Legal and Constitutional Frameworks

• Pass Constitutional amendment establishing technology voting rights – Enshrine democratic control of technology governance in fundamental law • Create federal legislation mandating elected technology departments – Establish legal framework for democratic technology leadership • Implement state-level technology democracy requirements – Require state constitutions to provide for elected technology governance • Establish judicial review of AI decisions by elected officials – Create legal framework for challenging undemocratic AI governance • Create technology rights legislation – Establish legal protections for democratic participation in technology decisions