Upcoming events

Anthropic's four-month fellowship program for AI safety research. Weekly stipend of $3,850 USD / £2,310 GBP / $4,300 CAD, plus ~$15k/month compute budget and close mentorship from Anthropic researchers. Priority areas include scalable oversight, adversarial robustness, and interpretability. Application deadline May 3.

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Five-month fellowship for researchers pursuing rigorous, high-impact research on the safety and alignment of advanced AI systems. Priority research areas: safety evaluation, ethics, robustness, scalable mitigations, privacy-preserving methods, agentic oversight, and misuse prevention. Open to diverse backgrounds including computer science, social science, cybersecurity, and related fields. Monthly stipends, compute resources, mentorship from OpenAI staff, and API credits provided. Workspace available in Berkeley at Constellation, remote participation permitted. Fellows must produce substantial research output (paper, benchmark, or dataset). Application deadline May 3, decisions by July 25. In partnership with Constellation.

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9 weeks & up to 6-month extensions in London doing high-impact AI safety research with expert mentorship. £6,000–£8,000 stipend, travel to London covered, £2,000 housing assistance (non-London fellows), compute resources provided. Open to anyone 18+ committed to ensuring AI develops safely. No specific background required—past fellows came from ML, philosophy, policy, physics, and biology. Application process: written application (~1–2 hours), video interview (<10 minutes), work task (1–3 hours), personal interview (30–45 minutes). 7 completed cohorts, 129 alumni, 70–90% of applicants received extensions in recent cohorts. 9.1/10 peer recommendation score. Application deadline May 3.

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MARS V programme at Cambridge AI Safety Hub matching exceptional students and early-career researchers with experienced researchers from AI labs, think tanks, and academia. Structure: 2-4 weeks of pre-work, 1-week in-person kick-off (Jul 13-19 or Jul 20-26), followed by 8-10 weeks of remote part-time research through October. Participants should expect 8–15+ hours/week on their project. Free programme with CAISH providing travel funding, accommodation, office space, meals during sprint week. Teams receive $2k+ compute budget, Claude Max (5x) for technical streams, dedicated research manager. Application deadline May 3, 2026. MARS VI will run in December 2026.

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Fully funded, 5-month, in-person program at Constellation's Berkeley research center. Two specialized streams: Empirical Research (focused on machine learning and technical safety) and Strategy & Governance (for those addressing catastrophic AI risks). Fellows receive monthly stipends of $8,400, compute budgets (~$15K monthly for empirical researchers), workspace access, mentorship from leading experts, and placement support. Application deadline May 3, 2026 (11:59pm AoE), acceptances sent November 6, program starts January 5, 2027.

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Fortieth Annual Conference on Neural Information Processing Systems. Three locations: Sydney, Australia (Dec 6-12), Atlanta, Georgia (Dec 8-13), Paris, France (Dec 9-13). Multiple submission tracks including main papers, workshops, position papers, competitions, and new Evaluations & Datasets Track. Paper abstract deadline May 4, full papers May 6, workshop applications June 6, author notifications Sept 24. General Chairs: Hsuan-Tien Lin (National Taiwan University) and Razvan Pascanu (Google DeepMind, Mila). In-scope for AAE tracker primarily through safety-related workshops.

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Third annual mechanistic interpretability workshop at ICML. Focuses on developing principled methods to analyze and understand a model's internals–weights and activations. Unites researchers from academia, industry, and independent research to discuss recent advances in mechanistic interpretability. Submission deadline May 8, 2026 (AoE) via OpenReview. Organized by researchers from Google DeepMind, Harvard, Northeastern University, Imperial College London, and others.

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Workshop exploring Aligning with the Diversity of Human Values, addressing how to integrate diverse perspectives into AI alignment frameworks that handle conflicting values across populations. Accepts 4-8 page papers (plus unlimited references/appendices) following ICML 2026 template via OpenReview. Welcomes works in progress, position papers, policy papers, and academic papers. Seeks interdisciplinary contributions spanning machine learning, human-computer interaction, philosophy, social sciences, and policy studies. All submissions must include at least one author who agrees to serve as a reviewer. Paper deadline May 8, acceptances May 22, camera-ready June 10.

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Free, one-day, AI Safety event focused on technical discussions about artificial intelligence safety. Third iteration of the Technical AI Safety conference series. Welcomes researchers and professionals from all backgrounds, regardless of prior experience. Organized jointly by the Oxford Martin AI Governance Initiative and Noeon Research. Registration open via Luma. Past conference recordings available on YouTube.

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Effective Altruism Global conference connecting experts and peers to collaborate on projects and tackle global challenges. EA Globals designed for individuals with solid understanding of core EA ideas actively applying them. Applications open for all 2026 EA Global events with single application form. AI safety is major track at EAG events.

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Apart Research hackathon focused on secure program synthesis and AI safety. Three-day hybrid event with online and in-person participation options. Part of Apart Research's ongoing series of AI safety research sprints and hackathons with mentorship and collaborative research opportunities.

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Forty-Third International Conference on Machine Learning. Schedule: July 6 Expo/Tutorial Day, July 7-9 Main Conference, July 10-11 Workshops. Workshop details announced April 6, 2026. Early registration deadline May 24, 2026. In-scope for AAE tracker primarily through safety-related workshops (Mechanistic Interpretability, Pluralistic Alignment, Technical AI Governance Research workshops confirmed).

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5-day, multi-track conference bringing together researchers in theoretical AI alignment. Unconference format where participants can propose and lead their own sessions. Free to attend. Focuses on mathematical approaches to alignment, covering topics like Singular Learning Theory, Agent Foundations, and Causal Incentives. Limited financial assistance available for travel and accommodation on needs-based basis. Application deadline June 1. Limited onsite bedrooms available for booking after registration. Organized by Iliad, an umbrella organization for applied mathematics research in AI alignment.

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10-week fellowship in Cambridge, UK targeting researchers and entrepreneurs working on mitigating risks from frontier AI. Three research areas: Technical AI Safety (ensuring advanced systems have appropriate safeguards), Governance (international cooperation and regulatory frameworks for frontier AI), and Technical AI Governance (intersection of technology and policy). Provides competitive stipend, meals, transport, visas, lodging, mentorship from expert researchers, 30+ events over the fellowship period, dedicated research management support, and compute resources.

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Flagship conference gathering leading scientists, entrepreneurs, funders, and policymakers to explore frontiers of science and technology. Includes AI safety track among other emerging technology topics.

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Part of UNIDIR's Security and Technology programme, focusing on artificial intelligence implications for international peace and security. United Nations Institute for Disarmament Research conference addressing AI governance and ethics at the international level.

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Part of FAR.AI's ongoing Alignment Workshop series. Gathering of global leaders exploring effective strategies for mitigating risks from advanced AI systems. Organized by FAR.AI.

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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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Two-day technical workshop bringing together experts to address bottlenecks in AI security and sovereignty research. Organized by Foresight Institute, a 40-year-old organization focused on transformative technology.

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12-week research fellowship from early June to late August with extension phase beginning in September. Berkeley and London cohorts. $15,000 stipend from AI Safety Support, $12,000 compute budget, private housing, and catered meals provided. Top performers can extend for 6–12 months with continued funding and mentorship. Five specialized tracks: Empirical research, Policy and strategy, Theory, Technical governance, Compute infrastructure. Applications closed for Summer 2026, collecting expressions of interest. Application period: Dec 16 - Jan 18; final offers: late March/early April.

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Workshop on secure and verifiable AI development, bringing together researchers, builders, and funders across ML, hardware security, systems, cryptography, and computer security. Focuses on verification techniques for AI safety. Colocated with IEEE Security and Privacy conference. Organized by FAR.AI.

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ARENA 8.0 alignment research engineering accelerator cohort in London. Five-week intensive in-person programme at the London Initiative for Safe AI (LISA). Three-stage application process: initial form (under 90 minutes), coding test (six questions, 1-hour limit), and 30-minute interview. Applications for this cohort are now closed; interested candidates can submit expression of interest for future iterations.

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3-month fellowship to launch or accelerate impactful careers in American AI governance and policy. Fellows conduct independent research projects under expert mentorship while building professional networks and developing policy expertise. Focus areas include public policy, political science, engineering, economics, biosecurity, cybersecurity, China studies, and risk management. Prioritizes bipartisan engagement, rigorous analysis, and practical policy relevance. $21,000 stipend plus travel support, weekday lunches, and DC office space. US work authorization required.

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3-month fellowship for conducting independent research on AI governance topics. Fellows receive mentorship from field experts, participate in seminars and Q&A sessions, and build professional networks. Research outputs may include reports, white papers, journal articles, op-eds, or blog posts. £12,000 stipend plus travel support and weekday lunches. Open to candidates from government, academia, industry, or civil society with expertise in policy, political science, computer science, economics, or risk management. Visa sponsorship available.

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Cambridge Boston Alignment Initiative's intensive nine-week summer fellowship for AI safety and biosecurity research. Fellows work on technical AI safety projects with expert mentorship in Cambridge, MA. Fully funded program covering housing, stipend, and research support.

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Three-month fully-funded research fellowship for scholars in economics, law, international relations, and related fields focusing on societal impacts of advanced AI and institutions/policies for effective response. Fellows receive $25,000 stipend, covered travel, daily meals, and access to CAIS expertise and Bay Area network. Emphasizes producing publicly shareable research on AI's impact on economic distribution, corporate accountability, and geopolitical competition.

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AI safety research fellowship pilot initiative designed to accelerate AI safety research and foster research talent in the field. Fellows work on steering and controlling future powerful AI systems and evaluating associated risks.

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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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Two-day workshop at ACL 2026 focused on surfacing practical insights from across the evaluation ecosystem. Examines tensions between model developers and evaluation researchers. Three main themes: evaluation methodology and measurement theory, evaluation infrastructure/costs/stakeholders, and assessing sociotechnical impacts of generative AI systems. Accepts full papers (6-8 pages), short papers (up to 4 pages), and tiny papers/extended abstracts (up to 2 pages). Two-way anonymized review required. Submission via OpenReview.

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Weekend AI safety hackathon focused on Global South participation and perspectives. Hybrid format allowing both online and in-person participation. Organized by Apart Research as part of their 55+ research sprints series with 6,000+ participants across 200+ global locations.

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SPAR's largest round yet with 130+ projects across AI safety, governance, security. Part-time remote research program pairing aspiring researchers with experienced mentors for three-month projects. Application deadline January 14, 2026. Programme runs February 16 to May 16. Open to undergraduates, graduate students, PhD candidates, and professionals. Projects typically require 5–20 hours/week. Mentors from Google DeepMind, RAND, Apollo Research, MATS, SecureBio, UK AISI, Forethought, AEI, MIRI, Goodfire, Rethink Priorities, LawZero, SaferAI, Mila, plus universities like Cambridge, Harvard, Oxford, and MIT. Covers technical (ML, CS, math, physics, biology, cybersecurity) and policy/governance (law, IR, public policy, political science, economics) backgrounds. Biosecurity projects offered for first time in Spring 2026.

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9th Annual Cognitive Computational Neuroscience Conference at NYU. Brings together researchers from cognitive science, neuroscience, and artificial intelligence focused on understanding the computations that underlie complex behavior. Primarily single-track format with keynote speakers (Brenden M. Lake, Ila Fiete, Kenji Doya, Doris Tsao, Alona Fyshe), oral presentations, and community-proposed programming including Generative Adversarial Collaborations (GACs) and Keynote-and-Tutorial sessions. AAE attendees follow for predictive-coding, metacognition, signal-detection-theory measurement work applicable to LLMs.

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First global academic programme focused on AI evaluations, combining technical depth with policy and governance training. 90 hours online (lectures, networking, activities), 20 hours hands-on courses, and 40-hour in-person capstone week in Valencia. Offers 40 fully funded scholarship places globally and 15 ECTS Expert Diploma credential from ValgrAI. Faculty from Cambridge, Stanford, Princeton, EU AI Office, UK AI Safety Institute, FAR AI, and Apollo Research.

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Foresight Institute's flagship conference bringing together leading scientists, entrepreneurs, funders, and policymakers to explore frontiers of science and technology. Features tracks on AI safety, security, and other emerging technologies. Part of Foresight's 40-year mission advancing transformative technology.

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Two-day conference on cybersecurity and technology policy covering AI security topics. Part of UNIDIR's Security and Technology Programme addressing implications of AI for international peace and security. In-scope for AAE tracker as international AI policy/disarmament falls within governance community's concerns.

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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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A free, accessible workshop hosted by AI Safety Awareness Group Oakland exploring AI's trajectory and societal impact. No technical background required. Features live demonstrations of current AI systems, interactive forecasting activities, and discussions about AI's implications for work, relationships, and society over the next 1-5 years.

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