Upcoming events

An immersive remote AI research programme where participants delve into literature review, develop and implement ML algorithms, communicate results in research publications, and submit to top AI research conference workshops (NeurIPS, EMNLP, ACL). Mentorship provided by researchers from Google DeepMind, Meta, Stanford, Anthropic, and Berkeley. Funded by Open Philanthropy (Coefficient Giving). Participants selected based on strong technical signal and genuine research curiosity.

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A 4-5 week in-person bootcamp providing skills, community and confidence to contribute to technical AI safety. The programme covers machine learning fundamentals and AI safety concepts through intensive training. ARENA covers travel, visas, accommodation, and meals for all participants.

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Three-month bipartisan AI governance and policy fellowship designed to accelerate or launch careers in American AI policy, emphasizing practical policy relevance.

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Three-month research-oriented AI governance fellowship. Participants conduct independent research projects and participate in expert sessions and networking.

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Three-month fellowship focused on non-research projects in communications, policy, operations, and program management.

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National fellowship for early-career professionals interested in extending AI's benefits across American communities. Twelve-month programme combining intensive initial training with ongoing weekly instruction alongside placement at host nonprofits. First cohort of 100 fellows begins in October 2026.

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Workshop focused on secure and sovereign AI, organized by Foresight Institute. Supports researchers, engineers, and entrepreneurs in computer science, ML, crypto, security, and related fields who leverage those technologies to improve cooperation across humans and ultimately AIs.

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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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A hackathon organized by Apart Research focused on AI safety research sprints. Part of Apart's monthly sprint series that has engaged over 6,000 participants across 200+ global locations.

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A competition focused on improving estimation algorithms for random MLPs. ARC partnered with AIcrowd to launch this challenge for the AI alignment community. The warm-up round began in early June 2026, with the competition focusing on white-box analysis techniques relevant to interpretability and alignment research.

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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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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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Regional EA Global conference in the Bay Area featuring talks, networking, skill-building workshops, and job fairs focused on high-impact careers. Strong AI safety presence given location.

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A 3-week ML upskilling bootcamp for AI safety, focusing on interpretability and RL, based on the ARENA curriculum. Provides housing and meals, 24/7 office access in Harvard Square, dedicated teaching assistants, and travel support. Requires Python familiarity and comfort with multivariable calculus and linear algebra.

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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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A 10-week fully funded fellowship for researchers and entrepreneurs focused on mitigating risks from frontier AI. Welcomes talented individuals at any career stage working on technical and governance approaches to AI safety. Fellows receive mentorship from expert researchers, access to compute resources, and participate in 30+ community events. Provides competitive stipend, meals during working hours, and transport, visa, and lodging coverage.

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The fortieth annual Conference on Neural Information Processing Systems. Multi-track interdisciplinary meeting featuring invited talks, demonstrations, symposia, oral and poster presentations, professional exposition, tutorials, and topical workshops. Satellite conferences also held in Atlanta and Paris (December 9-13).

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Speakers and attendees share new thinking and research in the field of effective altruism and coordinate on global projects. Features talks, workshops, and networking opportunities. Heavy AI safety attendance and programming.

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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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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 Vision Weekend gathering leading scientists, entrepreneurs, funders, and policymakers to explore frontiers of science and technology including AI safety.

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Flagship event gathering leading scientists, entrepreneurs, funders, and policymakers to explore the frontiers of science and technology. 40-year-old organization focused on transformative technology including AI safety tracks.

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Four-month AI safety research fellowship with direct mentorship from Anthropic researchers. Fellows conduct empirical research on scalable oversight, adversarial robustness and AI control, model organisms, mechanistic interpretability, AI security, and model welfare. Includes weekly stipend of $3,850 USD and compute funding of ~$15,000 per month.

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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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Twelve-week part-time programme for U.S. policy professionals. Five hours weekly commitment. Runs early September to early December 2026 with Thanksgiving break. Focused on AI governance and policy.

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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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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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A 10-week research fellowship connecting talented researchers with leading mentors in AI alignment, transparency, and security. Fellows receive mentorship, research funding, housing, and community support. Fellows may apply to join the London-based extension program for an additional 6-12 months of research from December 2026 onwards.

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A pilot program for external researchers to conduct rigorous, high-impact research on the safety and alignment of advanced AI systems. Priority areas: safety evaluation, ethics, robustness, scalable mitigations, privacy-preserving safety methods, agentic oversight, and high-severity misuse domains. Participants collaborate with OpenAI mentors and peers, with expectations to produce substantial research output (paper, benchmark, or dataset). Provides monthly stipend, compute support, API credits, mentorship, and workspace access.

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10-week Cambridge-based fellowship on existential AI risk. Competitive stipend, meals during working hours, transport, visas, and lodging included. Weekly mentorship from expert researchers, 30+ events, dedicated research management support, access to compute resources. Research areas: Technical AI Safety, Governance, and Technical AI Governance. Open to talented individuals at any career stage.

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A 5-day, multi-track unconference gathering 100+ researchers focused on theoretical AI alignment with mathematical foundations. Participants propose and lead their own sessions. Topics include Singular Learning Theory, Agent Foundations, Causal Incentives, Computational Mechanics, Safety-by-Debate, and Scalable Oversight. Free to attend with financial support available on a needs basis for accommodation and travel.

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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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A 5-month fully funded fellowship pairing emerging talent with senior mentors on technical, governance, strategy, and field-building projects. Offers two tracks: Empirical Research (ML safety topics) and Strategy & Governance (policy and organizational development). Provides $8,400 monthly stipend, ~$15,000/month research budget for empirical fellows, mentorship, workspace access, and placement services.

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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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Nine-week AI safety research fellowship in Cambridge, MA. $10,000 stipend, housing through Harvard dorms and Airbnb, free weekday meals, 24/7 office access in Harvard Square, and up to $10,000 in compute credits per fellow. Pairs fellows with established researchers from Harvard, MIT, Northeastern, and Boston University for 1-2 hours/week mentorship. Approximately 30 fellows accepted for AI Safety track. Rolling applications.

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Annual workshop at ICML on Pluralistic AI: Aligning with the Diversity of Human Values. Welcomes submissions of 4-8 pages covering technical, philosophical, and societal aspects of pluralistic alignment across machine learning, philosophy, policy, and social sciences disciplines.

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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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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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Part-time hybrid fellowship spanning 4-5 months matching exceptional students and early-career researchers with experienced researchers from AI labs, think tanks, and academia. One-week intensive in-person kick-off session (Jul 13-19 or 20-26), followed by 8-10 weeks of remote part-time research (Aug-Sep), final output Oct 2026. 8-15+ hours/week commitment. $2,000+ compute budget, Claude Max access, weekly mentorship. All travel, accommodation, and meals covered during sprint week. 25+ mentors from Redwood, DeepMind, RAND. Operated by Cambridge AI Safety Hub.

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A 16-day virtual incubator designed for researchers to develop clearer articulation of research questions in AI safety. Participants engage in honest inquiry through lightning talks, one-on-ones, reading, and writing to refine their research directions. The programme helps bridge the gap between general AI safety awareness and specific research directions, with three weekend sessions focused on orientation, iteration, and final presentations. Serves as preparation for AI Safety Camp projects.

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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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Nine-week research fellowship with 30 AI safety fellows and 15 AIxBiosecurity fellows. Provides $10,000 stipend, housing through Harvard dorms, free weekday meals, and up to $10,000 in compute support (API credits and GPU access). In-person participation required; must have valid US work authorization.

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The workshop addresses how to integrate diverse perspectives, values, and expertise into pluralistic AI alignment frameworks. Examines multi-objective alignment approaches, preference elicitation methods, and human-AI interaction workflows that reflect pluralistic values across diverse communities.

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An annual forum for discussion among researchers in cognitive science, neuroscience, and artificial intelligence, dedicated to understanding the computations that underlie complex behavior. The conference features keynote speakers (Doris Tsao, Brenden M. Lake, Alona Fyshe, Kenji Doya, Kalanit Grill-Spector), oral presentations, and posters. Programming includes Generative Adversarial Collaborations (GACs), Keynote-and-Tutorial sessions, and community events focused on mentorship and career development.

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Three-month research programme investigating societal impacts of advanced AI and institutions and policies for societal response. In-person at CAIS offices in San Francisco.

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Part-time research programme pairing teams of 2-4 with experienced mentors to produce published AI safety research. Includes a one-week in-person kick-off, compute resources ($2k+ budget plus Claude Max access), and research management support. Research focuses on technical AI safety and AI governance & policy. Expects 8-15+ hours/week during remote phase, with 2-4 weeks of pre-work. Free programme with no participant cost.

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The forty-third International Conference on Machine Learning, the premier gathering for professionals advancing machine learning. Presents cutting-edge research across artificial intelligence, statistics, data science, and applications including computer vision, computational biology, speech recognition, and robotics. July 6: Expo/Tutorial Day. July 7-9: Main Conference. July 10-11: Workshops.

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Part 1 of a two-part AI safety event series organized by BlueDot Impact. This hackathon focuses on building AI safety tools and breaking barriers to entry in the field. Followed by Part 2 (Career Fair and Builders Summit) on July 24. Organized by Joshua Landes and Jen Ba.

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Launch event for BlueDot Impact's San Francisco community presence. An in-person gathering to connect the local AI safety community. Organized by Joshua Landes, Dewi, Li-Lian, Will, and others.

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A 9-week fellowship program designed to grow the talent pool working on AI safety. Participants conduct high-impact research with expert mentorship, access to co-working space, financial support, and career guidance. Provides £6,000-£8,000 stipend (Senior Fellows receive £8,000), travel to London covered, £2,400 housing allowance for non-London residents, meals included on weekdays at LISA, and compute resources. Possible extensions up to 6 months.

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Part 2 of the Breaking Barriers to AI Safety series, featuring a career fair connecting AI safety job seekers with organizations, plus a builders summit for technical collaboration. Organized by Jen Ba and Robin Goins (Mox) through BlueDot Impact.

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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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A recurring paper reading club focused on AI safety evaluations, meeting weekly to discuss recent research. Organized by BlueDot Impact with sessions led by Andreas Turanski, Mark Keavney, Joshua Landes, and Harry Waterman. Sessions continue through summer and fall 2026 (Jul 14, 21, 28, Aug 4 confirmed).

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A community event organized by Singapore AI Safety Hub (SASH) focused on getting into AI safety. Provides networking and information for those interested in entering the AI safety field.

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