Our Purpose

Our Mission

  • Build Public Awareness
  • Form Broad Coalitions
  • Organize
  • Apply Political Pressure

What We Are Fighting For

These six objectives form the backbone of our advocacy. Every campaign, every petition, and every conversation with a lawmaker ties back to one of these goals.

Goal 1

Hard Limits on Catastrophic-Risk AI

  • Enforceable boundaries on existential and societal-level AI risks
  • Moratoriums on autonomous weapons and self-replicating systems
  • Mandatory safety evaluations before frontier model deployment
  • No civilization-threatening tech without public oversight and consent
Goal 2

US-led Global AI Treaty

  • Negotiate a binding international treaty on AI safety, security, and human rights
  • Align allies on shared standards for frontier model development and deployment
  • Establish international oversight mechanisms with real enforcement power
  • Prevent a global race to the bottom where countries compete on who regulates AI the least
Goal 3

Federal AI Oversight

  • Establish a dedicated federal agency with real enforcement power over AI systems
  • Require pre-deployment safety certification for all frontier AI models
  • Mandate ongoing monitoring and incident reporting for deployed AI systems
  • Empower regulators to halt dangerous systems before harm occurs — not after
Goal 4

Protect Workers

  • Retraining programs and income support for displaced workers
  • Labor protections for gig workers and vulnerable industries
  • Require companies to advise workforces before deploying automation
  • Protect workers across every industry AI touches
Goal 5

Transparency

  • Mandate public disclosure of AI training data sources and model capabilities
  • Require independent third-party audits of all frontier AI systems before deployment
  • Force AI companies to publish safety evaluations and failure rates
  • Open-source model weights and architectures for public scientific scrutiny
  • No black-box systems making decisions about people's lives without explanation
Goal 6

Mandatory Labeling of Deepfakes

  • Require clear labels on all AI-generated or AI-altered media before distribution
  • Platforms must flag synthetic content in political ads, news, and social media
  • Criminal penalties for unlabeled deepfakes used in election interference or fraud
  • Without labeling, public trust in every video, image, and voice collapses

Our Strategy

Nine strategic pillars that guide how we build power, mobilize communities, and win the fight for AI accountability.

Strategy 1

Digital & Social Media Organizing

Build a powerful online presence that drives real-world action.

  • Develop a content strategy that translates AI risk into shareable, emotionally resonant formats — stories, videos, infographics
  • Build a social media presence across every major platform with platform-specific content strategies
  • Create a rapid response operation that can mobilize followers when key legislative moments arise
  • Develop a small-dollar fundraising operation powered by digital organizing
  • Build an email list as the core owned asset — not dependent on any platform's algorithm
  • Run targeted digital advertising campaigns in key districts during legislative fights
  • Create viral moments and campaigns that break AI accountability into mainstream public conversation
  • Recruit and support online creators and influencers willing to carry the message to their audiences
Strategy 2

Youth & Campus Organizing

Build the next generation of AI accountability advocates on college campuses and in high schools.

  • Launch a national campus chapter program at universities and community colleges
  • Develop an AI accountability curriculum for high school civics and technology classes
  • Create a youth leadership pipeline that moves student organizers into professional advocacy roles
  • Partner with existing student organizations — environmental groups, civil rights organizations, tech ethics clubs
  • Host campus forums, debates, and speaker series that make AI accountability a live issue in academic communities
  • Organize student-led advocacy days in state capitals and Washington
  • Engage computer science and engineering students directly — the people building AI need to be part of the accountability conversation
Strategy 3

Community Organizing Infrastructure

Build the on-the-ground architecture that turns concerned citizens into an organized political force.

  • Develop a national chapter model with standardized tools, training, and support for local organizers
  • Identify and recruit chapter leaders in every congressional district — prioritizing competitive districts first
  • Create a volunteer ladder that moves people from passive supporters to active organizers
  • Build a digital organizing platform that connects local chapters to national campaigns in real time
  • Train chapter leaders in community organizing, legislative advocacy, and media engagement
  • Establish regular rhythms — monthly calls, quarterly convenings, annual national gatherings — that keep the movement cohesive and motivated
  • Develop metrics for chapter health so the national organization knows where to invest support
Strategy 4

Labor & Workplace Organizing

Embed AI accountability into the institutions that represent working people.

  • Partner with unions already confronting AI displacement in their industries — writers, actors, truckers, healthcare workers, teachers
  • Develop model contract language addressing AI surveillance, displacement, and algorithmic management that unions can adopt
  • Build a worker testimony program that puts human faces on AI-driven job loss and workplace harm
  • Organize workers in sectors most immediately threatened — logistics, manufacturing, customer service, creative industries
  • Create a rapid response capability for communities hit by sudden AI-driven layoffs
  • Work with labor federations to make AI accountability a standard platform position across the movement
  • Host worker town halls that connect personal economic experience to the broader political fight for regulation
Strategy 5

Electoral Strategy

Make AI accountability a deciding factor in elections at every level.

  • Identify and recruit AI accountability candidates for local, state, and federal office
  • Run voter registration and turnout campaigns in communities most affected by AI harm
  • Develop a congressional scorecard and distribute it to voters in every district before elections
  • Build relationships with political campaigns and party infrastructure at state and local levels
  • Train chapter members in electoral organizing — canvassing, phone banking, voter contact
  • Deploy the grassroots network as a visible electoral force in competitive races
  • Make clear to every candidate in every cycle that AI accountability voters exist, are organized, and are paying attention
Strategy 6

Coalition & Alliance Building

Multiply the movement's power by embedding AI accountability into the agendas of allied organizations.

  • Map the full landscape of organizations with adjacent interests — labor, civil liberties, faith, consumer protection, environmental, racial justice
  • Develop a formal coalition structure with shared campaigns, coordinated messaging, and joint advocacy
  • Create a coalition rapid response network that can mobilize allied organizations when key moments arise
  • Build relationships with organizations that have existing grassroots infrastructure and political credibility
  • Develop shared research and policy resources that make coalition partners more effective advocates
  • Host regular coalition convenings that build relationships and align strategy across the movement
  • Pursue endorsements from major national organizations that signal mainstream legitimacy
Strategy 7

Faith Community Mobilization

Activate the single most trusted and organized civic infrastructure in America — houses of worship and faith networks.

  • Develop a dedicated faith outreach program with materials tailored to Christian, Jewish, Muslim, Hindu, and secular spiritual communities
  • Train faith leaders to speak about AI risk from within their own theological frameworks
  • Create a national network of AI accountability congregations — houses of worship that formally endorse the mission and mobilize their members
  • Develop sermon guides, discussion curricula, and small group materials for faith communities
  • Partner with existing faith-based advocacy networks — those already organized around social justice, dignity, and human rights
  • Host interfaith convenings that build solidarity across traditions around shared concerns about AI and human dignity
  • Make the moral and spiritual case for AI accountability in language that resonates across the full breadth of American religious life
Strategy 8

Storytelling & Narrative Campaign

Win the public argument by making the human cost of unregulated AI impossible to ignore.

  • Build a national testimony program — collecting and amplifying stories of people harmed by AI
  • Develop a media strategy that places these stories in local news, national outlets, and online platforms
  • Create documentary content, short films, and podcast series that humanize abstract AI risks
  • Commission polling and research that quantifies public concern about AI and gives the movement data to work with
  • Develop a clear, consistent narrative framework that works across all audiences — workers, parents, faith communities, seniors
  • Counter industry narratives with factual, accessible, emotionally compelling counter-messaging
  • Ensure that the voices of those most harmed — not just experts and advocates — are at the center of the public story
Strategy 9

State-Level Legislative Campaign

Use state legislatures as proving grounds for federal policy and as protection when Congress fails to act.

  • Identify the ten most winnable states for AI accountability legislation and build concentrated organizing capacity there
  • Develop model state legislation across key areas — worker protections, consumer rights, spiritual and emotional exploitation, catastrophic risk
  • Build relationships with state legislators and their staffers in target states
  • Coordinate state campaigns so that wins in one state create momentum and models for others
  • Use state-level victories to build the evidentiary case for federal legislation
  • Monitor and oppose industry-backed state preemption bills designed to block local protections
  • Create a state legislative scorecard parallel to the federal one
What Stands in Our Way

The Obstacles We Face

Building a safer future for AI is not easy. Powerful forces, societal, political, commercial, and technical, are stacked against meaningful reform.

Societal

  • Public misunderstanding of AI capabilities and risks
  • Algorithmic bias already affecting marginalized communities
  • Erosion of trust in institutions and information
  • Generational divide in tech literacy
  • Normalization of surveillance and data extraction
  • Deepfake technology undermining truth and trust

Political

  • Zero federal AI safety laws passed in the US
  • Tech industry lobbying outspending public interest groups 50:1
  • Partisan gridlock preventing bipartisan tech regulation
  • Politicians dependent on tech industry campaign donations
  • International coordination failures on AI governance

Commercial

  • Executing our full strategy requires sustained funding at a scale most non-profits never achieve — staff, digital infrastructure, research, and national organizing are capital-intensive
  • The tech industry spends over $100 million annually on federal lobbying alone, dwarfing the entire budget of every AI safety organization combined
  • AI companies have raised hundreds of billions in private capital — giving them virtually unlimited resources for advertising, political influence, and market expansion
  • Opposition-funded think tanks and industry front groups outspend public-interest advocacy by margins of 50 to 1 or greater
  • Without major donor support and grassroots fundraising at scale, the movement for AI accountability cannot match the opposition's firepower in the fights that matter
  • Shareholder pressure and investor expectations drive AI companies to prioritize growth and speed over safety, ethics, and public accountability

Technical

  • Exponential pace of capability improvement outpacing regulation
  • Black-box neural networks defying interpretability and audit
  • Recursive self-improvement creating unpredictable emergent behaviors
  • No reliable method to align superhuman systems with human values
  • Difficulty distinguishing AI-generated from authentic content
  • Compute requirements making independent verification challenging

Ready to Join the Fight?

We are building a movement of everyday citizens who refuse to let the future be decided in boardrooms. Add your voice.