AI Risk Public Education

Partnership on AI (PAI) is a nonprofit coalition of AI researchers, civil society organizations, academics, and companies working to develop best practices, conduct research, and shape policy around responsible AI development. It brings together diverse stakeholders to address challenges including safety, fairness, transparency, and the societal impacts of AI systems. PAI serves as a coordination hub for cross-sector dialogue on AI governance.

Coursera offers online courses and specializations focused on AI governance, covering regulatory frameworks, ethical AI deployment, and policy considerations for managing artificial intelligence systems. These courses target professionals and students seeking to understand the governance landscape surrounding AI development and use.

This page outlines the European Commission's comprehensive policy framework for AI, centered on promoting trustworthy, human-centric AI through the AI Act, AI Continent Action Plan, and Apply AI Strategy. It aims to balance Europe's global AI competitiveness with safety, fundamental rights, and democratic values. Key initiatives include AI Factories, the InvestAI Facility, GenAI4EU, and the Apply AI Alliance.

The official website of the Future of Humanity Institute (FHI), an Oxford University research center that was foundational in establishing the fields of existential risk research and AI safety. FHI closed on 16 April 2024 after approximately two decades of influential work. The site now serves as an archived record of the institution's history, research agenda, and legacy.

The Columbia Journalism Review (CJR) is a leading media criticism and journalism industry publication covering press freedom, journalistic standards, and the intersection of technology and news. It includes coverage of AI's role in newsrooms, press freedom threats, and the challenges journalists face in politically volatile environments.

The Reuters Institute for the Study of Journalism at Oxford University conducts research on journalism, news media, and emerging technologies including AI's impact on newsrooms. The site covers topics such as GenAI reshaping news ecosystems, fact-checking, investigative journalism, and audience behavior including news avoidance. It serves as a hub for academic and practical analysis of media trends.

The Yale Program on Climate Change Communication (YPCCC) conducts research on public knowledge, attitudes, and behavior regarding climate change, and develops science-based communication strategies. It is known for projects like 'Global Warming's Six Americas,' which segments the U.S. public by climate concern levels. The program produces educational resources, policy-relevant research, and media content to improve public engagement with climate issues.

AI4ALL is a nonprofit organization focused on broadening access to AI education and careers, particularly for underrepresented groups. Their flagship program, AI4ALL Ignite, is a no-cost virtual accelerator connecting college students with industry mentors and hands-on AI projects to help launch careers in AI. The organization emphasizes building responsible, diverse AI talent pipelines.

Pew Research Center is a nonpartisan fact tank providing data and analysis on public attitudes toward technology, AI, governance, media, and society. It conducts large-scale surveys tracking American and global opinions on AI adoption, institutional trust, news habits, and emerging technology risks. Its AI-focused research tracks public perception of AI benefits and harms over time.

The AI Now Institute is a leading research center studying the social and political dimensions of artificial intelligence, with a focus on accountability, power structures, and policy interventions. It produces reports, briefings, and analysis examining how AI systems affect labor, civil rights, and democratic governance. The institute advocates for regulatory frameworks that protect public interests from concentrations of corporate AI power.

This Stanford HAI article appears to have been removed or relocated, returning a 404 error. The intended content likely covered survey findings on evolving American public opinion regarding artificial intelligence technologies.

The Oxford Internet Institute is a multidisciplinary research center at the University of Oxford studying the societal and ethical dimensions of the internet and AI technologies. Research spans political influence operations, labor market disruption, algorithmic governance, and the broader transformation of society by digital technologies. It serves as a key academic institution for evidence-based internet and AI policy.

The Center for Security and Emerging Technology (CSET) provides briefings and educational resources on artificial intelligence for members of the U.S. Congress and their staff. These materials aim to help legislators understand AI capabilities, risks, and policy implications to inform effective governance and regulation.

The Brookings Institution maintains an AI governance tracker that monitors policy developments, regulatory proposals, and legislative actions related to artificial intelligence across jurisdictions. It serves as a reference resource for tracking the evolving landscape of AI governance initiatives globally.

The Edelman Trust Barometer is an annual global survey measuring public trust in institutions including government, business, media, and NGOs across dozens of countries. It provides data on how trust levels shift in response to technological change, AI adoption, and societal events. The research is widely cited in policy and governance discussions about responsible technology deployment.

Policy Horizons Canada offers a foresight-focused learning resource for government policy makers navigating digital transformation, exploring emerging trends and their implications for public administration. The resource is part of a broader learning agenda aimed at equipping civil servants with futures-thinking skills. It addresses how anticipatory governance can help governments adapt to rapid technological and societal change.

The Center for AI Safety (CAIS) is a research organization focused on mitigating catastrophic and existential risks from advanced AI systems. It conducts technical research, publishes surveys and statements, and supports field-building efforts across academia and industry. CAIS is notable for its broad coalition-building, including its widely-cited statement on AI extinction risk signed by leading researchers.

MIT Media Lab's AI Policy for People initiative focuses on public engagement around AI governance and policy, aiming to bridge technical AI development with broader societal input and democratic participation. The program seeks to make AI policy more accessible and inclusive by engaging diverse communities in shaping how AI is developed and regulated.

Stanford's Human-Centered Artificial Intelligence (HAI) institute explores the intersection of AI companions and mental health, examining benefits, risks, and governance considerations of AI-powered emotional support tools. The resource reflects HAI's broader mission of responsible AI development that centers human well-being.

RAND Corporation's AI research hub covers policy, national security, and governance implications of artificial intelligence. It aggregates reports, analyses, and commentary on AI risks, military applications, and regulatory frameworks from one of the leading U.S. defense and policy think tanks.

A curated reference to YouTube as a platform hosting various AI safety-relevant channels, lectures, and talks. This entry likely serves as a pointer to video resources covering AI alignment, safety research, and related topics from researchers and organizations.

The Annenberg Public Policy Center at the University of Pennsylvania conducts research on political communication, public health, and media literacy, with a focus on how policy and information affect public understanding. It is known for initiatives like FactCheck.org and studies on science and health communication. The center informs evidence-based policymaking and public discourse.

MIT CSAIL is one of the world's leading academic research centers for computer science and AI, conducting foundational research across machine learning, robotics, systems, and human-computer interaction. It is home to numerous researchers whose work is directly relevant to AI safety, alignment, and governance. The lab serves as a hub for cutting-edge technical research that shapes both AI capabilities and safety considerations.

CSET (Center for Security and Emerging Technology) at Georgetown University is a policy research organization focused on the security implications of emerging technologies, particularly AI. It produces research on AI policy, workforce, geopolitics, and governance. The content could not be fully extracted, limiting detailed analysis.

Behavioral and Brain Sciences is a peer-reviewed journal published by Cambridge University Press that features target articles followed by open peer commentary, covering topics at the intersection of cognitive science, neuroscience, psychology, and related fields. It occasionally publishes work relevant to AI risk, machine cognition, and the nature of intelligence. The URL and title metadata appear mismatched, suggesting this may have been mislabeled.

A 2024 Pew Research Center survey examining American public attitudes toward AI's impact on employment, including concerns about job displacement, worker monitoring, and the perceived benefits and risks of AI in the workplace. The study provides empirical data on how workers and the general public perceive AI's role in transforming labor markets.

A Pew Research Center study comparing attitudes of U.S. adults and AI experts toward artificial intelligence, covering optimism about AI's future, concerns about job displacement, and views on regulation. The study reveals notable divergences between expert and public perspectives on AI risks and benefits.

NewsGuard's monthly AI Misinformation Monitor tracks instances where AI chatbots and tools spread false or misleading information, documenting specific cases from December 2024. The report serves as an ongoing audit of AI systems' reliability and their propensity to generate or amplify misinformation at scale.

A large-scale Pew Research Center survey comparing AI experts' and U.S. public attitudes toward AI's risks, opportunities, and regulation. The study reveals significant gaps between expert and public sentiment, with experts generally more optimistic while the public expresses greater concern. Key topics include AI's societal impact, desired regulatory frameworks, and expectations about AI's transformative potential.

The 2025 Stanford HAI AI Index Report provides a comprehensive annual survey of AI development across technical performance, economic investment, global competition, and responsible AI adoption. It synthesizes data from academia, industry, and government to track AI progress and societal impact. The report serves as a key reference for understanding where AI stands today and emerging trends shaping the field.

A YouGov survey reveals growing American pessimism about AI, with 47% believing AI will have negative societal effects and 43% concerned about AI-caused human extinction. The poll tracks shifting public opinion over time, showing a notable trend toward more negative views of AI's impact.

The 2025 Stanford HAI AI Index report chapter on public opinion presents survey data from 26 countries on how people perceive AI's benefits, risks, and societal impacts. It tracks longitudinal shifts in public attitudes toward AI across dimensions including employment, safety, and trust. This data provides a foundation for understanding the social and political context surrounding AI governance and deployment.

The Future of Life Institute (FLI) is a nonprofit organization focused on steering transformative technologies, particularly AI, away from catastrophic risks and toward beneficial outcomes. They operate across policy advocacy, research funding, education, and outreach to promote responsible AI development. FLI has been influential in key AI safety milestones including the open letter on AI risks and the Asilomar AI Principles.

This article provides a comprehensive overview of AI Safety Institutes (AISIs) as a novel global governance model, cataloguing existing institutes worldwide and analyzing their core functions: evaluating frontier AI systems, conducting safety research, and facilitating stakeholder information exchange. It examines the historical development from the UK's 2023 Bletchley Park summit through a growing second wave of national institutes, and questions the recent shift in some jurisdictions from 'safety' to 'security' framing.

A landmark international scientific assessment co-authored by 96 experts from 30 countries, providing a comprehensive overview of general-purpose AI capabilities, risks, and risk management approaches. It aims to establish shared scientific understanding across nations as a foundation for global AI governance. The report covers topics including capability evaluation, misuse risks, systemic risks, and mitigation strategies.

The U.S. Departments of Commerce and State launched the International Network of AI Safety Institutes in November 2024, uniting 11 nations to coordinate AI safety research, evaluation standards, and risk assessment frameworks. The network's inaugural San Francisco convening focused on synthetic content risks, foundation model testing, and advanced AI risk assessments, backed by $11 million in research funding. This represents a significant step toward multilateral AI governance infrastructure ahead of France's AI Action Summit in February 2025.