Upcoming events

Two-day interdisciplinary forum exploring technical AI safety challenges, governance approaches, risk assessment, evaluation standards, and cross-sector collaboration. Grounded in the International AI Safety Report. Features keynotes, panels, workshops, and networking. Organized by Gradient Institute with RAND, Timaeus, Good Ancestors, and CSIRO Data61. Builds on Australia's AI Safety Institute and National AI Plan.

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UNIDIR flagship conference spotlighting how artificial intelligence is reshaping global security. Brings together experts to discuss AI's intersection with peace and security issues. Part of UNIDIR's Strategic Framework 2026-2030 emphasis on AI as primary focus area. Organization produces 132 publications yearly and reaches 193 states through research with 20,000+ annual event participants.

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Regional AI safety competition focusing on tools, evaluations, and policy research from Latin America, Africa, or Asia. Sponsored by Schmidt Sciences with pipeline to fellowship and placement opportunities. Online and in-person format enabling global participation from the Global South.

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10-week fellowship for researchers and entrepreneurs working on mitigating risks from frontier AI. Targets talented individuals at any career stage interested in AI safety and governance research. Provides competitive stipend, meals during working hours, and coverage for transport, visas, and lodging. Hosts 30+ events with mentorship from expert researchers.

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3-week ML upskilling bootcamp for AI safety focusing on interpretability and RL, based on ARENA curriculum. Run by Cambridge Boston Alignment Initiative. Provides housing, meals, 24/7 office access, dedicated teaching assistants, and travel support to participants.

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Four-month full-time paid AI safety research fellowship providing funding, compute (~$15k/month), and direct mentorship from Anthropic researchers to work on real safety and security projects. Focus areas include scalable oversight, adversarial robustness, and other AI safety topics. Over 40% of fellows from first cohort joined Anthropic full-time.

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Workshop on Evaluating Evaluations (EvalEval) at ACL 2026. Focuses on evaluation methodology, measurement theory, validity, reliability, reproducibility, infrastructure costs, and sociotechnical impacts including bias and privacy. Features panel with model developers, oral presentations, posters, and Every Eval Ever shared task standardizing results across 22,000+ models.

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Workshop bringing together global leaders in academia and industry to explore risk mitigation strategies for artificial general intelligence. Organized by FAR.AI. Co-located with ICML 2026 in Seoul.

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AI safety conference in New Zealand organized by BlueDot Impact community. First major AI safety conference in New Zealand, bringing together researchers, practitioners, and policy experts in the region to discuss technical safety, governance, and alignment challenges.

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Foresight Institute technical workshop bringing together researchers, engineers, and entrepreneurs in computer science, ML, crypto, security, and related fields. Focus on secure AI development, safety infrastructure, and sovereignty considerations for AI systems. Part of Foresight's Secure AI programme supporting frontier science approaches to AI safety.

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Competition focused on improving estimation algorithms for random MLPs. Partnership between ARC (Alignment Research Center) and AIcrowd. Warm-up round focuses on developing theoretical foundations for mechanistic explanations of neural network behavior by analyzing weights directly rather than relying on sampling methods.

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3-week intensive program in applied mathematics for AI alignment by Iliad. Based in Berkeley at Lighthaven. Provides $5,000 support. Selection based on estimated mathematical strength. Part of Iliad's series of intensive and fellowship programs.

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3-week ML upskilling bootcamp for AI safety focusing on interpretability and RL, based on ARENA curriculum. Run by Cambridge Boston Alignment Initiative. Provides housing, meals, 24/7 office access, dedicated teaching assistants, and travel support to participants.

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Regional EA Global conference with heavy AI safety attendance. Berkeley location draws alignment researchers, interpretability practitioners, and governance community. In scope for social and community networking reasons.

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3-month mentored research fellowship in applied mathematics for AI alignment by Iliad. Based in London at LISA. Provides $6,000/month stipend. Selection based on estimated mathematical strength.

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4-week intensive program in applied mathematics for AI alignment by Iliad. Based in London at LISA. Provides $5,000 support. Selection based on estimated mathematical strength.

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Neural Information Processing Systems conference with three satellite locations. Includes dedicated Ethics Review track, Reproducibility as official track, and Responsible AI metadata requirements in Evaluations and Datasets Track. Features Code of Conduct and Code of Ethics fostering diverse, inclusive community. Safety-related workshops cross-referenced with keywords.

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4-week intensive program in applied mathematics for AI alignment by Iliad. Based in Berkeley. Provides $5,000 support. Selection based on estimated mathematical strength.

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EA Global conference with heavy AI safety attendance and programming. Annual gathering bringing together effective altruism community members working on global priorities including AI safety, alignment, and governance. In scope for social and community event reasons.

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4-week intensive program in applied mathematics for AI alignment by Iliad. Based in London at LISA. Provides $5,000 support. Selection based on estimated mathematical strength.

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Foresight Institute flagship Vision Weekend conference gathering leading scientists, entrepreneurs, funders, and policymakers to explore frontiers of science and technology. Features AI safety track alongside other frontier science themes. 40-year-old organization focused on transformative technology with established community presence.

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Three-month bipartisan fellowship designed to launch or accelerate impactful careers in American AI governance and policy. Participants deepen understanding of the field, connect with network of experts, and build skills and professional profile. $21,000 stipend. Alumni have secured positions at leading AI companies (DeepMind, OpenAI, Anthropic).

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Three-month fellowship where fellows conduct independent research on AI governance topic of their choice with mentorship from leading experts. £12,000 stipend. GovAI was founded to help decision-makers navigate the transition to advanced AI through rigorous research and talent fostering. Alumni have secured positions at DeepMind, OpenAI, Anthropic.

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Nine-week AI safety research fellowship run by Cambridge Boston Alignment Initiative. Accepts 30 fellows (undergraduate, Master's, PhD students, postdocs, and recent graduates). Includes $10,000 stipend, accommodation in Harvard dorms, meals, workspace access, and up to $10,000 in compute credits. Applications reviewed on rolling basis through four-stage process. International students on OPT/CPT eligible but visa sponsorship not available.

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5-week project-based course for engineers and early researchers to work with an AI safety expert on a contribution to AI safety research or engineering. Includes mentorship, regular check-ins, and a published write-up. Covers alignment, mechanistic interpretability, evaluations, red-teaming, AI control, and scalable oversight.

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10-week AI safety research fellowship with optional 6-12 month extension in London. $1250 weekly stipend plus $2k weekly compute resources. Five research tracks: Technical Governance, Empirical, Policy & Strategy, Theory, and Compute Infrastructure. Applications closed but EOI still being collected. Welcomes diverse backgrounds with strong motivation to contribute to AI safety.

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Third iteration of mechanistic interpretability workshop at ICML. Focuses on developing principled methods to analyze and understand neural network internals (weights and activations). Unites researchers from academia, industry, and independent research to discuss advances in understanding model decision-making. Field has sizable communities, dedicated startups, and rich ecosystem of tools and techniques.

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Workshop on Pluralistic AI: Aligning with the Diversity of Human Values at ICML 2026. Submissions should be anonymized papers 4 to 8 pages following ICML 2026 template through OpenReview. Acceptance notifications on May 22, 2026.

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5-day, multi-track conference bringing together researchers in theoretical AI alignment. Unconference format focusing on mathematical approaches including Singular Learning Theory, Agent Foundations, and Causal Incentives. Free to attend with limited travel and accommodation funding available on needs-based basis.

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International Conference on Machine Learning 2026. Major ML conference with safety-related workshops announced. Schedule: July 6 Expo/Tutorial Day, July 7-9 Main Conference, July 10-11 Workshops. Includes peer-review ethics, research ethics policies, and LLM usage guidelines for review process.

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Workshop bringing together diverse perspectives from the community to discuss recent advances in mechanistic interpretability, build common understanding and chart future directions. Addresses developing principled methods to analyze and understand model internals (weights and activations) to gain insight into behavior and underlying computation. Received 2.6x submissions from previous year.

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Four-month full-time paid AI safety research fellowship providing funding, compute (~$15k/month), and direct mentorship from Anthropic researchers to work on real safety and security projects. Focus areas include scalable oversight, adversarial robustness, and other AI safety topics. Over 40% of fellows from first cohort joined Anthropic full-time.

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OpenAI safety research fellowship partnering with Constellation. Prioritizes research in safety evaluation, ethics, robustness, scalable mitigations, privacy-preserving safety methods. Empirically grounded and technically rigorous work expected. Fellows receive mentorship, monthly stipends, compute resources, and API credits. Physical workspace in Berkeley with remote participation permitted. Must produce substantial research output (paper, benchmark, or dataset).

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10-week ML Alignment & Theory Scholars fellowship with locations in Berkeley, CA and London, UK. Seven tracks: Empirical, Theory, Strategy & Forecasting, Policy & Governance, Systems Security, Biosecurity, and Founding & Field-Building. Over 80% of participants admitted to additional 6-12 month funded extension phase. Includes general application, track-specific evaluations, and mentor interviews.

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AI safety hackathon organized by Apart Research focusing on secret loyalties and related alignment challenges. Online and in-person format enabling broad participation across the safety community.

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MARS (Mentorship for Alignment Researchers at CAISH) is a part-time, hybrid programme pairing teams of 2-4 participants with experienced mentors. Stage 1 is the general participant track. Features 8-15+ hours weekly on research projects, weekly check-ins with teammates and mentors, one-week in-person sprint (July 13-19 or July 20-26) followed by remote collaboration through October. Provides $2,000+ compute budget, Claude Max access for technical streams, travel/accommodation/meals during in-person week. Applications for MARS V are closed.

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Workshop on Pluralistic AI: Aligning with the Diversity of Human Values at ICML 2026. Invites submissions from multiple disciplines examining how to integrate diverse perspectives, values, and expertise into pluralistic AI alignment frameworks. Accepts academic papers, position papers, policy papers, and works in progress (non-archival).

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Mentorship for Alignment Research Students operated by Cambridge AI Safety Hub. Part-time hybrid programme with in-person kick-off week (July 13-19 or 20-26), remote phase August-September, and final output October 2026. Teams of 2-4 participants with experienced mentor. Provides $2k+ compute budget, Claude Max access, research management support, travel funding, and accommodation. 8-15+ hours per week commitment. Expected output: published research.

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9th Annual Conference on Cognitive Computational Neuroscience, annual forum for discussion among researchers in cognitive science, neuroscience, and AI. Primarily single-track with keynote speakers, oral presentations, posters, Generative Adversarial Collaborations (GACs), and community events. Speakers include Brenden Lake, Ila Fiete, Kenji Doya, Doris Tsao, and Alona Fyshe. ACO attendees follow for predictive-coding, metacognition, signal-detection-theory measurement work applicable to LLMs.

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9-week AI safety research fellowship based in London at LISA. Open to anyone 18+ committed to AI safety regardless of background. Provides £6,000-£8,000 stipend (£8,000 for Senior Fellows), travel coverage, £2,000 housing assistance for non-London residents, meals and compute resources. Weekly 1-on-1 mentorship, in-person workspace with inclusive meals. Up to 6-month extensions available (70-90% of recent cohorts received them). Past fellows joined Anthropic, Google DeepMind, UK AISI.

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AI policy hackathon focused on governance challenges of deployed AI systems. Organized by BlueDot Impact community in Toronto, bringing together participants to work on practical policy frameworks for AI governance in real-world deployment contexts.

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Second Workshop on Technical AI Governance Research at ICML 2026, focusing on technical approaches to AI governance, policy, and regulation. Part of the main conference workshop track.

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Workshop at ICML 2026 focused on identifying, diagnosing, and fixing failure modes in agentic AI systems. Covers reproducible triggers for failures, diagnostic tracing methods, and verified repair approaches. Highly relevant to AI safety and robustness.

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Second Workshop on Agents in the Wild focusing on safety and security of AI agents deployed in real-world environments. Addresses challenges in ensuring safe and secure operation of autonomous agents. Part of ICML 2026 workshop track.

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Stage 2 of MARS V selection process, for invited candidates only. Part-time, hybrid research programme matching exceptional students and early-career researchers with experienced mentors. Includes $2k+ compute budget, Claude Max, accommodation, meals, and travel funding.

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Fully funded, in-person program pairing senior advisors with emerging talent on 5-month technical, governance, strategy, and field-building projects. $8,400 monthly stipend, ~$15K/month research budget for empirical fellows (compute), workspace at Berkeley research center, weekly mentorship from experts, visa support for international applicants. Applications for Fall 2026 cohort closed May 3rd. Strong placement rates at safety orgs.

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Quarterly AI safety research fellowship based in London. Open to anyone committed to ensuring AI develops safely, regardless of background (ML, philosophy, policy, physics, biology welcome). Provides £6,000-£8,000 stipend (£8,000 for Senior Fellows), travel coverage, £2,000 housing stipend for non-London residents, meals and compute. 70-90% of fellows receive up to 6-month extensions.

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Weekly AI safety evaluations paper reading club hosted by BlueDot Impact. Meets every Tuesday at 4:00 PM UTC to discuss evaluation methodologies, safety benchmarks, and measurement frameworks. Open to all interested in AI safety evals research.

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Summit bringing together academic leaders, entrepreneurs, AI experts, venture capitalists, and policymakers to discuss the future of AI and Agentic AI. Call for Papers and Startup Spotlight applications open. In-person and livestream available.

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4-5 week in-person AI safety research engineering bootcamp in London. Programme covers travel, visa expenses, accommodation, and meals for participants. Supported by Coefficient Giving. Curriculum publicly available, runs 2-3 bootcamps annually.

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Three-month research fellowship investigating societal impacts of advanced AI and institutions and policies for response. Targets scholars in economics, law, international relations, and adjacent disciplines. $25,000 stipend plus covered travel and daily meals. Requires professorship, PhD/JD degree, or PhD/JD-equivalent research experience. Fellows produce substantive interim results such as blog posts, draft papers, or empirical findings. Organized by Center for AI Safety.

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8-week virtual reading group run by MIT AI Alignment (MAIA), meeting 2 hours per week. Explores why AI safety matters and current mitigation approaches including AI trajectory, misalignment risks, technical safety solutions, policy, and career paths. No prior AI background required. Led by small groups facilitated by MAIA team members.

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29th annual meeting of the Association for the Scientific Study of Consciousness. Topics comprise empirical, theoretical and philosophical investigations on the neural correlates of consciousness and subjective experience. Accepts submissions from Psychology, Medicine, Neuroscience, Computer Science, Philosophy, Biology and Mathematics. Features posters, workshops and tutorials. Relevant for ACO practitioners working on consciousness studies and measurement science applicable to interpretability work.

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Two-week intensive summer school at Columbia University covering machine learning topics including mechanistic interpretability, alignment/safety, RAG & agents, and LLM systems. Approximately 200 PhD students participate alongside faculty and industry speakers. In-scope due to dedicated alignment and mechanistic interpretability tracks.

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