Organization Registry
Nonprofits, think tanks, academic institutions, intergovernmental bodies, and companies working on AI governance, policy, and education.
152 organizations
Eight-month structured experience for higher education teams (faculty, staff, administrators) to develop and implement AI action plans for classrooms, curricula, and campuses. Virtual with mentorship.
Defends and extends digital rights of users at risk globally, combining technical support, policy engagement, and advocacy. Hosts RightsCon, the world's leading human rights and tech summit.
Digital rights; surveillance; facial recognition bans; platform accountability; human rights and AI
Independent research institute with a mission to ensure data and AI work for people and society. Conducts accessible research and public engagement on the social implications of AI and data, including algorithmic accountability, AI in the NHS, and biometric technology.
Data governance; algorithmic accountability; AI in public services; biometrics; equity and inclusion
Works to make AI more diverse and inclusive through education programs for underrepresented high school students in partnership with universities (Stanford, UC Berkeley, CMU, Princeton).
AI education; diversity and inclusion; underrepresented communities; AI literacy; mentorship
Founded by Meta and IBM with 50+ organizations (ETH Zurich, CERN, and 140+ members in 23 countries). Promotes open-source AI innovation. In 2025 launched roadmap for Responsible and Strategic Open-Source AI Innovation in Europe in collaboration with ETH Zurich's AI Ethics and Policy Network.
Open-source AI; responsible AI; international collaboration; European AI innovation
Classroom-ready AI curriculum with structured lessons.
Short course on prompting, safety, and ethical AI use.
Comprehensive review of 2025 AI ethics landscape and 2026 outlook. Key themes: enforcement of regulations, agentic AI systems, recognition that refusing GenAI can be ethically justified, and growing concern about AI power concentration. 2026 identified as year when autonomy, sovereignty, and sustainability take center stage.
Research institute at New York University examining the social implications of AI, with a particular focus on power, accountability, and labor. Known for influential annual AI Now Reports.
Algorithmic accountability; labor and AI; civil rights; power and AI; surveillance; platform governance
UK's national institute for data science and AI, founded in 2015 by the UK Government. Conducts interdisciplinary AI research including safety, fairness, transparency, and public benefit applications.
AI safety; fairness; explainability; data science; public benefit AI; inclusion
Collective co-founded by Joy Buolamwini that highlights algorithmic bias through art, media, and science. Provides space for people to voice concerns about coded bias and advocates for accountability in AI systems.
Algorithmic bias; facial recognition bias; coded bias; racial justice; gender equity in AI
European nonprofit research and advocacy organization focused on algorithmic decision-making with social relevance. Maintains a shared inventory of AI-related principles and published the Automating Society report.
Algorithmic accountability; automated decision-making; transparency; EU AI regulation; journalism
Nonprofit AI research institute founded by Paul Allen focused on AI for the common good. Produces open models (OLMo), datasets, and research on AI safety, fairness, and societal impact.
AI research for public good; open models; fairness; AI safety; NLP; vision AI
Nonprofit building a multidisciplinary responsible AI ecosystem. Maintains a large global community of AI ethics practitioners, publishes the Responsible AI Impact Report, and hosts the Responsible AI Community Summit.
Responsible AI; practitioner community; AI governance; diversity in AI; policy engagement
Practical AI usage skills including prompting and evaluation.
Practical AI literacy including prompting and evaluation skills.
AI safety company conducting research into interpretability, AI alignment, and responsible scaling policies (RSP). Publishes AI Safety Levels (ASL) and model evaluation frameworks that have influenced industry norms.
AI safety; alignment; interpretability; responsible scaling; frontier model governance
Five key developments: UNESCO neurotechnology standards protecting 'mental privacy'; EU AI Act high-risk AI requirements taking effect; BiasBuster open-source bias quantification toolkit (Stanford/MIT); MIT Fairness Toolkit 3.0 with adaptive reweighing; and growing third-party audit requirements. Coverage of both opportunities and SMB compliance concerns.
Program preparing leaders for AI-enabled ministry environments.
Research center studying cyberspace and its implications for law and governance. Leads AI ethics research and policy, including AI and human rights, privacy, democracy, and platform governance.
Internet governance; AI ethics; privacy; democracy; digital rights; human rights and AI
Nonprofit policy and research institute focused on ensuring AI and digital policies promote fairness, accountability, and democratic values. Publishes the annual AI and Democratic Values Index covering 80+ countries.
AI policy; democratic values; algorithmic accountability; civil rights; facial recognition; AI governance index
Research center at UC Berkeley focused on developing conceptual and technical approaches to reorient AI research toward provably beneficial systems that remain aligned with human values.
AI alignment; value learning; human-compatible AI; AI safety; control problem
Envisions technology that supports well-being, sense-making, democracy, and the ability to tackle global challenges. Co-founded by former Google design ethicist Tristan Harris. Advocates for humane technology design.
Technology ethics; persuasive design; social media harms; AI and democracy; attention economy
Georgetown University think tank providing data-driven analysis of emerging technologies' implications for national and international security. Advises US government on AI policy including export controls, R&D strategy, and AI workforce.
National security; AI policy; export controls; China-US AI competition; AI workforce; biosecurity
CSET researchers analyze the White House AI Policy Framework, noting it explicitly calls on Congress to act — unlike prior executive orders. Framework is interpreted as an opening move in administration-Congress negotiations over national AI legislation. Several provisions around deepfakes and free speech are highlighted as especially notable.
Nonprofit based in India undertaking interdisciplinary research on internet and digital technologies. Focus areas include AI governance, digital accessibility, data privacy, and open internet.
AI governance; digital rights; privacy; accessibility; internet governance; Global South perspectives
Produces rigorous policy and social-science research on frontier AI governance. Pioneered the field of AI governance research. Runs seasonal fellowships (UK and DC) and a Research Scholar program. Alumni work at DeepMind, OpenAI, Anthropic, US/UK/EU governments.
Frontier AI; risk analysis; AI economics; geopolitics of AI; public policy; technical governance; talent development
Workshops on AI tools, ethics, and church leadership use cases.
Introduction to AI agents and autonomous systems.
Hands-on AI and ML modules including model training and data concepts.
Dartmouth launches AI degree track and undergraduate concentration at Thayer School of Engineering, integrating AI into medical education at Geisel School of Medicine, and adding AI to Tuck Executive Education. Programs combine liberal arts with AI literacy, emphasizing human judgment over AI dependence.
Politically independent ThinkDoTank with European and global outreach. Ensures primacy of the human being in a world of data, based on European legal and value-based frameworks. Active with EU institutions and international academia.
Data ethics; GDPR; digital rights; AI ethics; European policy; transparency
Examines the relationship between datafication and social justice. Highlights the politics and impacts of data-driven processes, big data and surveillance, especially on marginalized communities.
Data justice; social justice; datafication; surveillance; algorithmic discrimination; Global South
Advances public understanding of the social implications of data-centric technologies and automation. Focuses on how data and AI affect communities, labor, and institutions.
Data governance; AI and labor; misinformation; surveillance; platform accountability; social impact
Non-technical introduction to AI concepts, business applications, and ethics.
Focus on AI governance, theology, and ethical frameworks.
Nonprofit defending civil liberties in the digital world since 1990. Advocates against AI surveillance, discriminatory algorithms, and invasive tech. Key litigation and legislative intervention organization.
Digital civil liberties; surveillance; facial recognition; free speech; privacy; algorithmic bias
Analysis of January 2026 trends showing AI in higher education shifting from pilot experiments to core institutional strategy. Key tension: opportunities for personalized learning vs. risks of surveillance, bias, and erosion of academic judgment. Calls for participatory governance involving faculty and students in policy design.
Newly established body of the European Commission responsible for implementing and enforcing the EU AI Act, overseeing GPAI models, and supporting international AI governance coordination.
EU AI Act enforcement; GPAI model oversight; market surveillance; international AI coordination
The EU AI Act reaches its next major milestone in August 2026 when rules for high-risk AI systems come into force. High-risk domains include biometric identification, employment, education, and critical infrastructure. Transparency rules and disclosure obligations also enter effect. Second draft Code of Practice on AI-generated content labelling published March 5, 2026.
Explores ethical AI use and digital ministry transformation.
Certification program teaching foundational AI literacy and responsible use.
Nonprofit crowdsourcing organization building audit frameworks for AI and autonomous systems. Addresses ethics, bias, privacy, trust, and cybersecurity to reduce risk from AI at a societal scale.
AI auditing; autonomous systems; bias; privacy; cybersecurity; trust frameworks; certification
Nonprofit working to steer transformative technologies away from large-scale catastrophe. Known for publishing open letters on AI risk (2015 and 2023 Pause Letter), the Asilomar AI Principles, and AI safety research grants.
AI safety; existential risk; biosecurity; nuclear risk; AI governance; international coordination
Nonprofit catalyst for privacy leadership, scholarship, and data practices. Conducts research on AI and privacy at the intersection of emerging technology and policy, including GDPR, AI Act, and US privacy law.
Privacy law; data governance; AI and privacy; children's privacy; facial recognition; policy advocacy
Four new AI courses organized into learning pathways for professionals, emphasizing hands-on labs, live cohort learning, and expert instructors. Workers with AI skills command a 56% wage premium (PwC).
Practical AI literacy including generative AI, prompting, and workplace applications.
Simulation-based AI learning experiences solving real-world problems.
A microlearning course explaining what Generative AI is, how it differs from traditional machine learning, and how to use Google tools to develop Gen AI apps. Earn a free badge upon completion.
Conducts foundational AI safety research (specification, robustness, assurance). Publishes the Frontier Safety Framework with Critical Capability Levels. Active in AI governance bodies internationally.
AI safety research; alignment; frontier model evaluation; AI ethics; societal impact; international governance
Google's fast-paced, practical introduction to machine learning using TensorFlow. Covers fundamental ML concepts through video lectures, real-world case studies, and hands-on practice exercises.
Launched in 2020 by 29 nations to translate the OECD AI Principles into practical guidance. Working groups cover responsible AI, data governance, future of work, and innovation. Merged operations with OECD AI Observatory in 2024.
Responsible AI; data governance; future of work; innovation; multi-stakeholder dialogue
A 7-module self-paced course for community learners covering core AI concepts, effective AI communication, ethical and responsible use, and workplace applications. No technical background required.
Foundational AI concepts including ML, NLP, and neural networks.
A rigorous 7-week university course exploring algorithms behind modern AI: search, optimization, machine learning, neural networks, and NLP. Requires Python experience. Free via OpenCourseWare.
Coalition of directors, writers, and actors advocating for ethical AI use in entertainment. Seeks to establish industry-wide protections against unauthorized use of digital likenesses and automation of creative roles. Lobbies for legislative protections to ensure AI remains an assistive tool.
Creative rights; digital likenesses; AI in entertainment; intellectual property; labor protections
Learning paths covering AI fundamentals, ethics, and applied projects.
Operates an AI Ethics Board with multidisciplinary representation. Develops tools like AI Fairness 360, Adversarial Robustness Toolbox, and AI Explainability 360 as open-source contributions. Active in EU and UN AI governance.
AI ethics; fairness tools; explainability; governance frameworks; enterprise compliance; EU AI Act
Part of IBM Cognitive Class's 600+ free courses. Covers AI foundations, machine learning basics, deep learning, and practical applications. Completion badge available at no cost.
Develops technical standards for the ethical design of autonomous and intelligent systems. IEEE 7000-series addresses ethical considerations during system design, algorithmic bias (7003), transparency (7001), and children's data (7004).
Technical standards; ethical system design; autonomous systems; bias; transparency; AI in education
Examines AI's impact on the world of work — automation, job displacement, skills gaps, and labor rights. Published a landmark review of 245 AI ethics guidelines in 2025, highlighting gaps in labor protections.
Future of work; automation; labor rights; AI ethics guidelines; workforce equity
Series of short practical courses for mid-to-senior managers applying AI to finance, negotiation, and operations. Live online format with Action Learning Projects. Rolling out 2026.
Based in Oxford's Faculty of Philosophy, brings together world-leading thinkers to provide independent perspectives on AI ethics, shaping innovation and public debate. Runs the Accelerator Fellowship Programme.
AI ethics; philosophy of AI; value alignment; AI and democracy; human rights; interdisciplinary research
Cross-cultural and transdisciplinary center building responsible and beneficial AI for humans and ecological good. Active in international AI governance dialogues and the Beijing AI Principles.
AI ethics; cross-cultural governance; ecological AI; international cooperation; Beijing Principles
Under the auspices of UNESCO, IRCAI conducts applied AI research for the SDGs and hosts the Global Forum on the Ethics of AI. Provides AI expertise and capacity building to developing countries.
AI for SDGs; AI ethics research; capacity building; applied AI; governance forums
Runs the AI for Good platform connecting AI innovators with UN agencies and governments to apply AI to the Sustainable Development Goals. Hosts the annual AI for Good Global Summit.
AI for SDGs; inclusive AI; standards; spectrum and connectivity; AI for health/climate
Analysis of 2026 governance trends: shift to adaptive (real-time) governance frameworks, supply chain audits becoming mandatory, autonomous agents pushing accountability into new territory, and model cards evolving to include lifecycle timelines and audit logs. Privacy engineering emerging as competitive differentiator.
Robotics-based curriculum teaching sensing and decision-making concepts.
Interdisciplinary research centre at the University of Cambridge (with partners at Oxford, Imperial, and UC Berkeley) focused on the opportunities and challenges of advanced AI for humanity over the coming decades.
Long-term AI impacts; AI and democracy; value alignment; machine agency; interdisciplinary research
See Think Tank section — this centre bridges academic research and policy on long-term AI implications.
Long-term AI; ethics; governance; machine agency; democracy
AI literacy curriculum with tutoring and safety features.
MIT's flagship deep learning course exploring neural networks, computer vision, NLP, and reinforcement learning. Free lecture videos and materials available publicly.
Modules and resources introducing AI basics and future readiness.
New course launched at Bett UK 2026 to help educators enhance and customize learning for students with special needs using AI tools.
Comprehensive curriculum covering AI concepts, real-world applications, and exercises.
Free professional development for educators in 13+ languages. Includes self-paced courses, live sessions, AI-powered simulations, and the new Microsoft Elevate for Educators Credential aligned to the AI Literacy Framework.
Implements a six-principle responsible AI standard (fairness, reliability & safety, privacy & security, inclusiveness, transparency, accountability) across all products. Includes a sensitive use review process and AI impact assessments.
Responsible AI standards; AI fairness tools; transparency; human oversight; enterprise AI governance
Combines ML fundamentals with Azure's cloud-based AI tools. Includes hands-on labs using Microsoft's ML services for real-world AI applications.
Introductory platform for computational thinking and early AI concepts.
Anchor institution (with Harvard Berkman Klein Center) of the Ethics and Governance of AI Fund. Conducts evidence-based research and pilot projects to guide AI for the public good.
AI ethics; democratic accountability; AI and media; public governance; education AI
Defines humanity's place in an algorithm-driven world through technical and policy research in ethical, safe, and inclusive AI. Publishes the State of AI Ethics reports (biannual).
AI ethics research; fairness; safety; policy analysis; inclusive AI; State of AI Ethics reports
Nature editorial calling for international coordination on AI safety policy. Notes 82 AI-related bills passed across US states in 2024. Criticizes US federal government for canceling AI policy work and challenging state laws. Calls for lower-income countries to begin regulating AI and for coherent global guardrails.
Project-based AI learning with real-world applications.
Tracks 1,000+ national AI policy initiatives across 69 countries. Maintains the OECD AI Principles (2019, updated 2024) — the most widely endorsed international AI framework — and supports implementation by member states.
AI principles; policy monitoring; comparative governance; data governance; AI in society
Free workshops, video tutorials, and digital content ranging from foundational AI literacy to advanced integration for engineers. Offers virtual and in-person events and community collaboration.
Free community-based AI education combining virtual and in-person events, tutorials, and peer networking. Piloting certifications from prompt engineering to AI-enabled work in late 2025/early 2026.
Conducts AI safety research and policy engagement. Preparedness Framework defines risk thresholds across cybersecurity, CBRN, persuasion, and model autonomy. Runs OpenAI Academy for AI literacy.
Frontier AI safety; preparedness evaluations; policy engagement; AI literacy; government partnerships
AI fundamentals applied to ministry, outreach, and biblical analysis.
Multidisciplinary research and teaching department at the University of Oxford focused on the societal implications of the internet and AI. Strong on AI and governance, disinformation, platform economics.
Internet policy; AI governance; disinformation; platform regulation; digital inequality; ethics
Partnership on AI outlines six governance priorities: scalable evaluation frameworks, accountability infrastructure, documentation across the AI value chain, AI sovereignty considerations, coordination of global governance initiatives, and workforce assurance literacy. Emphasizes need for public participation and Global South inclusion.
Multi-stakeholder nonprofit bringing together AI companies, civil society, academics, and NGOs to formulate best practices in AI. Members include Google, Microsoft, Meta, Amazon, Anthropic, OpenAI, ACLU, and hundreds of others.
Responsible AI; safety and fairness; multi-stakeholder governance; AI safety priorities; content authenticity
EdWeek Research Center data shows AI professional development for teachers rose from 29% in early 2024 to 50% by late 2025. ETS launched Futurenav Adapt AI test to standardize what 'AI-ready educator' means, with potential implications for pre-service teacher prep across 46 states. Major federal investment: $169M from DOE's FIPSE including ~$50M for 'Advancing AI in Education'.
Global nonprofit providing cutting-edge tools for responsible AI oversight and compliance. Offers the RAISE Pathways framework (1,100+ controls mapped to 17 global standards) and AI certifications for organizations.
AI governance tools; compliance; AI auditing; standards mapping; AI certification; enterprise AI risk
AI tools for sermon development and ministry workflows.
Free K–12 AI literacy curriculum for the 2025–2026 school year aligned to AI4K12 guidelines. Covers how machines sense and learn, logic, perception, and neural networks across grade bands.
Structured AI literacy pathways by grade level.
Structured AI literacy curriculum across grade levels.
The White House released its National Policy Framework for AI on March 20, 2026 — a set of non-binding legislative recommendations to Congress. The framework emphasizes federal preemption of state AI laws, US innovation dominance, regulatory sandboxes, and protections for children and free speech. Congressional action is uncertain.
Leading multidisciplinary research institute at Stanford advancing AI R&D for long-term benefit. Publishes the influential annual AI Index Report. Focuses on AI for diverse, equitable, and inclusive outcomes.
Human-centered AI; AI Index; AI policy; fairness; healthcare AI; AI education
Founded by ETH Zurich and EPFL (Switzerland's two federal universities). Leverages the Alps Supercomputer to accelerate AI research, education, and innovation while addressing societal and ethical challenges. Linked to the Albert Einstein School of Public Policy at ETH Zurich.
AI research; AI education; ethics by design; European AI governance; public policy
Global NGO focused on responsible and beneficial AI governance. Organizes structured stakeholder consultations with governments and civil society (including at AI summits). Publishes governance priority roadmaps.
AI governance; civil society engagement; global AI summits; responsible AI; risk frameworks
Course on safe, responsible, and creative AI use aligned with literacy frameworks.
An 8-lesson free course for K–12 educators and students built around the OECD/European Commission/Code.org AI Literacy Framework. Covers critical thinking, creativity, collaboration, and responsible AI use.
Evaluates frontier AI models for safety and security risks. Leads the international network of AI Safety Institutes (INAIS) established at the Bletchley Summit. Published the International Scientific Report on the Safety of Advanced AI.
Frontier AI safety; model evaluations; red-teaming; international coordination; AI security
Hosts the Readiness Assessment Methodology (RAM) and Ethical Impact Assessment (EIA) tools. Provides a global resource for policymakers, regulators, academics, private sector, and civil society to address challenges posed by AI.
AI ethics; human rights; readiness assessments; governance toolkits; neurotechnology
Faith-based workshops integrating AI and ethical discernment.
Learn the actual algorithms behind AI methods. Covers machine learning techniques including regression, classification, and neural networks. Basic Python recommended.
Introductory course explaining AI concepts, capabilities, and societal impacts with no coding required.
A free, self-paced course covering what AI is, what can and can't be done with AI, and how it affects our lives—no math or programming required. Includes six chapters combining theory with practical exercises.
Certificate program on AI fundamentals and career readiness.
Course focused on effective prompting and practical GenAI usage.
Blends AI literacy with career strategy for early- to mid-career professionals. Covers AI foundations, business applications, responsible AI, and how to navigate AI-enabled career opportunities. Free certificate upon completion.
Produced the 2024 report 'Governing AI for Humanity', calling for a UN-wide AI governance strategy including an independent international scientific panel and annual global dialogue. Underpins the first UN Global Dialogue on AI Governance (2026).
International AI governance; human rights; frontier AI risks; global coordination
Housed at NIST within the Department of Commerce. Develops guidelines, tools, and testing methodologies for safe and trustworthy AI. Authored the NIST AI Risk Management Framework (AI RMF 1.0).
AI risk management; safety evaluation; standards; NIST AI RMF; federal AI policy; red-teaming
Teaches fundamentals of crafting effective prompts for AI systems like ChatGPT. Covers prompt design, optimization, and prompt patterns for writing, coding, and problem-solving. ~18 hours. Free to audit.
Practical AI usage for sermons, communications, and engagement.
WEF article on the shift from AI ethics principles to implementation. Highlights AI Alliance (140+ members), Swiss National AI Institute, LatticeFlow (ETH spinoff for EU AI Act compliance), and the role of universities as 'honest brokers' in AI governance. Argues for deep collaboration between industry, government, and civil society.