Upcoming events

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.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.989937106918239,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.989937106918239,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

Two-day interdisciplinary forum grounded in the International AI Safety Report, bringing together researchers, policymakers, and practitioners from government, industry, and civil society. Features keynote presentations, panel discussions, workshops, lightning talks, and networking sessions. Over 40 confirmed speakers from RAND, CSIRO, and various Australian universities.

{
  "type_weight": 1,
  "source_trust": 0.75,
  "topic_relevance": 0.9,
  "time_proximity": 0.8857142857142857,
  "community_signal": 0.75,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

Four-month AI safety research fellowship providing weekly stipend of $3,850 USD / £2,310 GBP / $4,300 CAD, monthly compute funding (~$15k), and close mentorship from Anthropic researchers. Research focus areas include scalable oversight, adversarial robustness and AI control, model organisms, mechanistic interpretability, AI security, and model welfare.

{
  "type_weight": 0.8,
  "source_trust": 0.95,
  "topic_relevance": 0.95,
  "time_proximity": 0.9547169811320755,
  "community_signal": 0.85,
  "speaker_org_signal": 0.95,
  "is_deadline_open": 0,
  "source_count": 1
}

Five-day, multi-track conference bringing together researchers in theoretical AI alignment. Unconference format where attendees can propose and lead their own sessions. Covers mathematical approaches including Singular Learning Theory, Agent Foundations, Causal Incentives, Computational Mechanics, Safety-by-Debate, and Scalable Oversight. Free attendance with limited financial assistance for travel and accommodation available on needs basis.

{
  "type_weight": 1,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.8842767295597485,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

Part of the ongoing Alignment Workshop series, this gathering brings together global leaders to deepen collective understanding of the potential risks from Artificial General Intelligence (AGI) and collaboratively explore effective strategies for mitigating these risks.

{
  "type_weight": 0.85,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.8571428571428571,
  "community_signal": 0.8,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 0,
  "source_count": 1
}

12-week part-time program for U.S. policy professionals across government and think tanks. 5 hours weekly: 3 hours independent reading, 2 hours evening sessions. Free with in-person dinner provided.

{
  "type_weight": 0.35,
  "source_trust": 0.9,
  "topic_relevance": 0.8,
  "time_proximity": 0.7383647798742139,
  "community_signal": 0.65,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 1,
  "source_trust": 0.85,
  "topic_relevance": 0.85,
  "time_proximity": 0.959748427672956,
  "community_signal": 0.75,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 1,
  "source_count": 1
}

Foresight Institute technical workshop focused on solving bottlenecks in secure and sovereign AI development.

{
  "type_weight": 0.85,
  "source_trust": 0.75,
  "topic_relevance": 0.7,
  "time_proximity": 0.9647798742138365,
  "community_signal": 0.65,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 1,
  "source_count": 1
}

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

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.85,
  "time_proximity": 0.17405405405405405,
  "community_signal": 0.8,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 1,
  "source_count": 1
}

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

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.85,
  "time_proximity": 0.17405405405405405,
  "community_signal": 0.8,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 1,
  "source_count": 1
}

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

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.8,
  "time_proximity": 0.17405405405405405,
  "community_signal": 0.75,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 1,
  "source_count": 1
}

AI safety hackathon focused on secret loyalties and related alignment challenges. Online and in-person participation available. Part of Apart Research's ongoing sprint series.

{
  "type_weight": 0.65,
  "source_trust": 0.85,
  "topic_relevance": 0.8,
  "time_proximity": 0.9345911949685535,
  "community_signal": 0.7,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.7433962264150944,
  "community_signal": 0.8,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 1,
  "source_trust": 0.8,
  "topic_relevance": 0.75,
  "time_proximity": 0.7584905660377359,
  "community_signal": 0.85,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 1,
  "source_count": 1
}

EAGx conference in Berkeley with heavy AI safety attendance. Part of the global EA conference series. Travel assistance available.

{
  "type_weight": 1,
  "source_trust": 0.8,
  "topic_relevance": 0.75,
  "time_proximity": 0.7937106918238994,
  "community_signal": 0.85,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 1,
  "source_count": 1
}

Three-week ML upskilling bootcamp for AI safety, focusing on interpretability and RL, based on 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.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.8490566037735849,
  "community_signal": 0.75,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.6025157232704402,
  "community_signal": 0.8,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.6025157232704402,
  "community_signal": 0.8,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 1,
  "source_count": 1
}

EA Global conference series brings together the effective altruism community with heavy AI safety attendance and programming. In scope for social and community event reasons. Travel assistance available; application required.

{
  "type_weight": 1,
  "source_trust": 0.8,
  "topic_relevance": 0.7,
  "time_proximity": 0.5119496855345912,
  "community_signal": 0.85,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.46163522012578617,
  "community_signal": 0.8,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.320754716981132,
  "community_signal": 0.8,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 1,
  "source_trust": 0.75,
  "topic_relevance": 0.7,
  "time_proximity": 0.3358490566037735,
  "community_signal": 0.7,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 1,
  "source_trust": 0.75,
  "topic_relevance": 0.65,
  "time_proximity": 0.371069182389937,
  "community_signal": 0.7,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 1,
  "source_count": 1
}

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).

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 1,
  "time_proximity": 0.929559748427673,
  "community_signal": 0.9,
  "speaker_org_signal": 1,
  "is_deadline_open": 0,
  "source_count": 2
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 1,
  "time_proximity": 0.929559748427673,
  "community_signal": 0.9,
  "speaker_org_signal": 1,
  "is_deadline_open": 0,
  "source_count": 2
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.95,
  "time_proximity": 0.9345911949685535,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.85,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.8,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.95,
  "topic_relevance": 0.95,
  "time_proximity": 0.989937106918239,
  "community_signal": 0.9,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 0,
  "source_count": 1
}

Third iteration of the mechanistic interpretability workshop series, following ICML 2024 and NeurIPS 2025. Brings together researchers to explore principled methods to analyze and understand a model's internals (weights and activations). Serves diverse communities including academics, industry professionals, and independent researchers working on neural network interpretability.

{
  "type_weight": 0.85,
  "source_trust": 0.9,
  "topic_relevance": 0.95,
  "time_proximity": 0.9714285714285714,
  "community_signal": 0.9,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.85,
  "source_trust": 0.9,
  "topic_relevance": 0.95,
  "time_proximity": 0.969811320754717,
  "community_signal": 0.9,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.85,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.7685534591194969,
  "community_signal": 0.7,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.85,
  "source_trust": 0.9,
  "topic_relevance": 0.95,
  "time_proximity": 0.8289308176100629,
  "community_signal": 0.9,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

10-week fellowship offering mentorship from leading researchers. Fellows conduct work at offices in Berkeley, CA and London, UK. Provides weekly stipend of $1,250, $2,000 per week in compute resources, housing and catered meals, research management support, and office access. Extension opportunity: 6-12 months of funded research in London with over 80% admission rate for qualifying participants.

{
  "type_weight": 0.8,
  "source_trust": 0.95,
  "topic_relevance": 0.95,
  "time_proximity": 0.6025157232704402,
  "community_signal": 0.9,
  "speaker_org_signal": 0.95,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.95,
  "topic_relevance": 0.95,
  "time_proximity": 0.2666666666666667,
  "community_signal": 0.9,
  "speaker_org_signal": 0.95,
  "is_deadline_open": 0,
  "source_count": 2
}

Fellowship targeting external researchers and engineers focused on AI safety. Priority research areas: safety evaluation, ethics, robustness, scalable mitigations, privacy-preserving safety methods, agentic oversight. Provides monthly stipend, computational resources, mentorship from OpenAI team, and workspace option at Constellation in Berkeley or remote work. Participants must complete substantial research contribution (paper, benchmark, or dataset) by program conclusion.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.95,
  "time_proximity": 0.6729559748427673,
  "community_signal": 0.85,
  "speaker_org_signal": 0.95,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.8,
  "topic_relevance": 0.95,
  "time_proximity": 0.8490566037735849,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

Part-time research programme pairing teams of 2-4 with experienced mentors to produce published AI safety research. In-person kick-off week (July 13-19 or 20-26), remote research phase (August-September), final output in October. Free to participants with compute budget ($2k+), Claude Max access, accommodation, travel, and meals during in-person week. Time commitment: 8-15+ hours weekly with weekly check-ins. Mentors from Redwood Research, Google DeepMind, and RAND.

{
  "type_weight": 0.8,
  "source_trust": 0.8,
  "topic_relevance": 0.9,
  "time_proximity": 0.989937106918239,
  "community_signal": 0.75,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

10-week fully funded fellowship targeting researchers and entrepreneurs addressing frontier AI risks. Focus areas: technical AI safety research (system control and safeguards), AI governance research (regulation and international cooperation), and technical AI governance (bridging technology and policy). Provides competitive stipend, covered meals, travel, visa, lodging, weekly mentorship, research management support, compute resources, and access to 30+ community events.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.8571428571428571,
  "community_signal": 0.8,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 0,
  "source_count": 1
}

Workshop focusing on pluralistic AI: aligning with the diversity of human values. Welcomes submissions across multiple disciplines including machine learning, human-computer interaction, philosophy, and policy studies, covering areas like annotation disagreement handling, consensus methods, and pluralistic AI applications. At least one author per submission must serve as reviewer.

{
  "type_weight": 0.85,
  "source_trust": 0.85,
  "topic_relevance": 0.85,
  "time_proximity": 1,
  "community_signal": 0.75,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.75,
  "topic_relevance": 0.9,
  "time_proximity": 0.9547169811320755,
  "community_signal": 0.8,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.65,
  "source_trust": 0.85,
  "topic_relevance": 0.8,
  "time_proximity": 0.6,
  "community_signal": 0.75,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.85,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.7383647798742139,
  "community_signal": 0.75,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.85,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.7383647798742139,
  "community_signal": 0.75,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.85,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.7333333333333334,
  "community_signal": 0.75,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.8,
  "topic_relevance": 0.9,
  "time_proximity": 0.7786163522012579,
  "community_signal": 0.7,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.43647798742138366,
  "community_signal": 0.85,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.75,
  "topic_relevance": 0.85,
  "time_proximity": 0.8571428571428571,
  "community_signal": 0.75,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 0,
  "source_count": 1
}

Quarterly AI safety research fellowship based in London. Fellows work with established researchers through weekly one-on-one mentorship. Initial 9-week in-person component may extend up to 6 months, with 70-90% of recent cohorts receiving extensions. Provides £6,000-£8,000 stipend (senior fellows receive £8,000), travel to London, £2,400 housing assistance for non-London residents, meals, and computing resources. Welcomes anyone committed to ensuring AI develops safely.

{
  "type_weight": 0.8,
  "source_trust": 0.75,
  "topic_relevance": 0.9,
  "time_proximity": 0.6571428571428571,
  "community_signal": 0.75,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.45,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.4285714285714286,
  "community_signal": 0.7,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 1,
  "source_count": 1
}

Forty-Third International Conference on Machine Learning. Tutorial and main conference registrations sold out. Workshop registrations remain available. Conference includes dedicated resources addressing research integrity, ethics, and community standards.

{
  "type_weight": 1,
  "source_trust": 0.85,
  "topic_relevance": 0.7,
  "time_proximity": 0.8571428571428571,
  "community_signal": 0.75,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 1,
  "source_trust": 0.85,
  "topic_relevance": 0.75,
  "time_proximity": 0.6477987421383647,
  "community_signal": 0.75,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 0,
  "source_count": 1
}

Workshop examining AI evaluation practices with emphasis on bridging tensions between model developers and evaluation researchers. Addresses evaluation methodology and measurement theory, infrastructure and stakeholder considerations, and sociotechnical impact assessment. Includes the Every Eval Ever shared task, a standardized database aggregating evaluation results across 22,235+ models and 2,273 benchmarks.

{
  "type_weight": 0.85,
  "source_trust": 0.75,
  "topic_relevance": 0.85,
  "time_proximity": 0.7714285714285715,
  "community_signal": 0.7,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.2666666666666667,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

In-person bootcamp covering AI safety fundamentals, mechanistic interpretability, and reinforcement learning. Program covers travel, visas, accommodation, and meals. Duration: 4-5 weeks typical for ARENA bootcamps. Online curriculum available for independent study.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.11111111111111116,
  "community_signal": 0.85,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

Fully-funded, three-month research program investigating societal impacts of advanced AI and the institutions/policies that could help societies respond effectively. Fellows work with significant autonomy, defining their own research directions. In-person at CAIS offices in San Francisco.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.85,
  "time_proximity": 0.1888888888888889,
  "community_signal": 0.8,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 0,
  "source_count": 1
}

Online and in-person AI safety hackathon for participants in Latin America, Africa, or Asia. Participants build AI safety tools, evaluations, and policy research, compete within their region, and access a pipeline from hackathon to fellowship to placement. Supported by Schmidt Sciences.

{
  "type_weight": 0.65,
  "source_trust": 0.85,
  "topic_relevance": 0.85,
  "time_proximity": 0.3888888888888889,
  "community_signal": 0.75,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 0,
  "source_count": 1
}

Main conference in Sydney, Australia with satellite events in Atlanta, Georgia and Paris, France (December 9-13). Features multiple submission tracks: Main Track, Evaluations & Datasets Track, Position Papers Track, Reproducibility Track, Tutorials, Competitions, Workshops, and Creative AI Track. Emphasizes responsible AI practices with ethics reviewers and scientific integrity requirements.

{
  "type_weight": 1,
  "source_trust": 0.85,
  "topic_relevance": 0.7,
  "time_proximity": 0.2553459119496855,
  "community_signal": 0.8,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 0,
  "source_count": 1
}

The 9th annual Cognitive Computational Neuroscience conference brings together researchers in cognitive science, neuroscience, and artificial intelligence. Features keynote speakers from Princeton, MIT, OIST, UC Berkeley, and University of Alberta. ACO attendees follow for predictive-coding, metacognition, and signal-detection-theory measurement work applicable to LLMs.

{
  "type_weight": 1,
  "source_trust": 0.8,
  "topic_relevance": 0.65,
  "time_proximity": 0.8842767295597485,
  "community_signal": 0.5,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.45,
  "source_trust": 0.8,
  "topic_relevance": 0.85,
  "time_proximity": 0.15555555555555559,
  "community_signal": 0.75,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 1,
  "source_trust": 0.6,
  "topic_relevance": 0.6,
  "time_proximity": 0.9849056603773585,
  "community_signal": 0.5,
  "speaker_org_signal": 0.6,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.35,
  "source_trust": 0.75,
  "topic_relevance": 0.7,
  "time_proximity": 0.869182389937107,
  "community_signal": 0.5,
  "speaker_org_signal": 0.6,
  "is_deadline_open": 0,
  "source_count": 1
}