Upcoming events

Neural Information Processing Systems 2026 held across three satellite locations: Sydney, Atlanta, and Paris. Community-driven event created by and for the community. Paper abstract deadline May 4, full paper deadline May 6, workshop application deadline June 6, author notifications September 24. Safety-related workshops to be announced.

{
  "type_weight": 1,
  "source_trust": 0.85,
  "topic_relevance": 0.75,
  "time_proximity": 0.17081081081081081,
  "community_signal": 0.8,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 1,
  "source_count": 1
}

Annual mechanistic interpretability workshop at ICML bringing together researchers from academia, industry, and independent research to discuss advances in understanding neural networks' internal mechanisms through analysis of weights and activations. Addresses fundamental scientific challenge as neural networks grow in influence and capability. Follows successful workshops at ICML 2024 and NeurIPS 2025.

{
  "type_weight": 0.85,
  "source_trust": 0.9,
  "topic_relevance": 0.95,
  "time_proximity": 0.7685534591194969,
  "community_signal": 0.85,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

Annual workshop on pluralistic AI alignment focusing on aligning with the diversity of human values. Welcomes research spanning philosophy, machine learning, human-computer interaction, social sciences, policy studies, and applications. Topics include handling annotation disagreements, consensus methods, ethical considerations, and case studies. Papers 4-8 pages, non-archival, submitted via OpenReview. Authors must agree to serve as reviewers.

{
  "type_weight": 0.85,
  "source_trust": 0.85,
  "topic_relevance": 0.8,
  "time_proximity": 0.7635220125786164,
  "community_signal": 0.75,
  "speaker_org_signal": 0.75,
  "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
}

Third annual Technical AI Safety conference, free one-day event at Oxford. Welcomes researchers and professionals from all backgrounds regardless of prior research experience. Organized by Oxford Martin AI Governance Initiative and Noeon Research. Registration available through Luma. Video content from past conferences available.

{
  "type_weight": 1,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.6857142857142857,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

Three-week ML upskilling bootcamp for AI safety focusing on interpretability and reinforcement learning, based on ARENA curriculum. Run by Cambridge Boston Alignment Initiative. Provides housing, meals, 24/7 office access, teaching assistants, and travel support. Prerequisites include Python familiarity and comfort with multivariable calculus and linear algebra.

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

EA Global London 2026 conference organized by Centre for Effective Altruism. Three-day gathering with heavy AI safety attendance. Applications open with default ticket price £500, reduced-price and free tickets available. In scope for social event reasons given in the AAE codex.

{
  "type_weight": 1,
  "source_trust": 0.8,
  "topic_relevance": 0.7,
  "time_proximity": 0.979874213836478,
  "community_signal": 0.8,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 1,
  "source_count": 1
}

Three-day hybrid hackathon organized by Apart Research focused on secure program synthesis. Part of Apart Research's monthly AI safety sprint series with 55+ sprints completed and 6,000+ participants globally.

{
  "type_weight": 0.65,
  "source_trust": 0.85,
  "topic_relevance": 0.7,
  "time_proximity": 0.9142857142857143,
  "community_signal": 0.65,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 1,
  "source_count": 1
}

Nine-week intensive fellowship at London Initiative for Safe AI (LISA). Provides £6,000-£8,000 stipend, travel to London, £2,000 housing allowance for non-London residents, meals and compute resources. 70-90% receive extensions for continued support up to 6 months. Open to anyone committed to ensuring AI develops safely, diverse backgrounds (ML, philosophy, policy, physics, biology). 7 completed cohorts with 129 alumni now at Anthropic, Google DeepMind, UK AISI, and founding ventures.

{
  "type_weight": 0.8,
  "source_trust": 0.75,
  "topic_relevance": 0.85,
  "time_proximity": 0.8238993710691824,
  "community_signal": 0.7,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 0,
  "source_count": 1
}

International Conference on Machine Learning 2026. July 6: Expo/Tutorial Day, July 7-9: Main Conference, July 10-11: Workshops. Features safety-related workshops including Mechanistic Interpretability and Pluralistic Alignment. Emphasis on community standards, peer review ethics, and research ethics. Early registration deadline May 24.

{
  "type_weight": 1,
  "source_trust": 0.85,
  "topic_relevance": 0.75,
  "time_proximity": 0.7886792452830189,
  "community_signal": 0.8,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 1,
  "source_count": 1
}

Five-day intensive programme for AI safety founders going from idea to funded. Successful pitches receive £50k in equity-free seed funding. Part of BlueDot Impact's incubator and rapid-funding initiatives supporting concrete AI safety work.

{
  "type_weight": 0.65,
  "source_trust": 0.9,
  "topic_relevance": 0.85,
  "time_proximity": 0.9647798742138365,
  "community_signal": 0.75,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 1,
  "source_count": 1
}

Five-day multi-track conference bringing together researchers in theoretical AI alignment. Unconference format where attendees propose and lead sessions. Covers mathematical approaches including Singular Learning Theory, Agent Foundations, Causal Incentives, Computational Mechanics, Safety-by-Debate, and Scalable Oversight. Free attendance, limited accommodations, financial support available for travel/lodging. Organized by Iliad umbrella organization.

{
  "type_weight": 1,
  "source_trust": 0.85,
  "topic_relevance": 0.95,
  "time_proximity": 0.6477987421383647,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

10-week fellowship for researchers and entrepreneurs working on mitigating risks from frontier AI, combining technical and governance approaches. Three focus areas: technical AI safety, AI governance, and technical AI governance. Provides competitive stipend, meals, transportation, visa, and lodging. Open to talented individuals worldwide at any career stage. Expression of interest form available.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.7886792452830189,
  "community_signal": 0.75,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 1,
  "source_count": 1
}

Foresight Institute's flagship event gathering leading scientists, entrepreneurs, funders, and policymakers to explore frontiers of science and technology. Includes AI safety track alongside other frontier science topics. 40-year-old organization focused on transformative technology.

{
  "type_weight": 1,
  "source_trust": 0.75,
  "topic_relevance": 0.7,
  "time_proximity": 0.9446540880503145,
  "community_signal": 0.65,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 0,
  "source_count": 1
}

One-day hackathon focused on creating AI risk content and educational materials. Part of BlueDot Impact's community-building initiatives to improve public understanding of AI safety challenges.

{
  "type_weight": 0.65,
  "source_trust": 0.85,
  "topic_relevance": 0.75,
  "time_proximity": 0.939622641509434,
  "community_signal": 0.7,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 1,
  "source_count": 1
}

Two-day conference addressing artificial intelligence implications for international peace and security. Organized by United Nations Institute for Disarmament Research. Focuses on AI governance, security implications, and ethical frameworks for AI development in international context.

{
  "type_weight": 1,
  "source_trust": 0.85,
  "topic_relevance": 0.7,
  "time_proximity": 0.879245283018868,
  "community_signal": 0.6,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 0,
  "source_count": 1
}

Two-day interdisciplinary gathering bringing together researchers, policymakers, and practitioners from academia, government, industry, and civil society. Grounded in the International AI Safety Report, focusing on technical challenges, governance, risk assessment, safety evaluation and testing frameworks. Features keynotes, panels, workshops, breakout sessions, lightning talks, and networking. Organized by Gradient Institute with RAND, Timaeus, Good Ancestors, University of Sydney, and CSIRO Data61.

{
  "type_weight": 1,
  "source_trust": 0.75,
  "topic_relevance": 0.85,
  "time_proximity": 0.7836477987421384,
  "community_signal": 0.65,
  "speaker_org_signal": 0.75,
  "is_deadline_open": 1,
  "source_count": 1
}

Part of FAR.AI's ongoing Alignment Workshop series, deepening collective understanding of potential risks from Artificial General Intelligence (AGI) and exploring mitigation strategies. Hosted in Seoul during ICML 2026 week.

{
  "type_weight": 0.85,
  "source_trust": 0.9,
  "topic_relevance": 0.85,
  "time_proximity": 0.7886792452830189,
  "community_signal": 0.75,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

Three-week ML upskilling bootcamp for AI safety focusing on interpretability and reinforcement learning, based on ARENA curriculum. Run by Cambridge Boston Alignment Initiative. Hosted by Collider in Manhattan. Provides housing, meals, teaching assistants, and travel support.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.7886792452830189,
  "community_signal": 0.75,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 1,
  "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": 1,
  "source_count": 1
}

Two-day technical workshop hosted by Foresight Institute focusing on secure and sovereign AI development. Part of Foresight's broader work on transformative technology and AI safety.

{
  "type_weight": 0.85,
  "source_trust": 0.75,
  "topic_relevance": 0.75,
  "time_proximity": 0.7283018867924529,
  "community_signal": 0.6,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 0,
  "source_count": 1
}

Fellowship running September 14, 2026 through February 5, 2027, supporting researchers pursuing rigorous, high-impact research on safety and alignment of advanced AI systems. Fellows work in peer group setting with mentorship from OpenAI staff. Workspace offered at Constellation in Berkeley, remote participation permitted. Provides monthly stipends, computational resources, ongoing guidance. Requires meaningful research deliverables (papers, benchmarks, datasets). Welcomes diverse academic backgrounds. Partnering with Constellation.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.95,
  "time_proximity": 0.43647798742138366,
  "community_signal": 0.85,
  "speaker_org_signal": 0.95,
  "is_deadline_open": 0,
  "source_count": 1
}

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

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.9,
  "time_proximity": 0.6125786163522012,
  "community_signal": 0.75,
  "speaker_org_signal": 0.8,
  "is_deadline_open": 1,
  "source_count": 1
}

Astra is a fully funded, in-person fellowship program operating from Constellation's Berkeley research center. Fellows work on technical, governance, strategy, and field-building projects with senior mentors. Benefits include $8,400 monthly stipend, ~$15K/month research budget for empirical fellows, visa support, workspace access, weekly mentorship, and placement services. Extension period available through June 31.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.95,
  "time_proximity": 0.43647798742138366,
  "community_signal": 0.85,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

Four-month Anthropic Fellows Program providing funding, compute (~$15k/month), and close mentorship from Anthropic researchers. Weekly stipend of $3,850 USD / £2,310 / $4,300 CAD. Focus on scalable oversight, adversarial robustness, interpretability, AI welfare, and safety evaluations. Over 40% of first cohort fellows joined Anthropic full-time.

{
  "type_weight": 0.8,
  "source_trust": 0.95,
  "topic_relevance": 0.95,
  "time_proximity": 0.7182389937106919,
  "community_signal": 0.85,
  "speaker_org_signal": 0.95,
  "is_deadline_open": 1,
  "source_count": 1
}

Nine-week AI safety research fellowship for 30 fellows with $10,000 stipend, housing in Harvard dorms, 24/7 office access in Harvard Square. Weekly 1-2 hour individual mentorship from researchers at Harvard, MIT, Northeastern. Up to $10,000 in compute credits per fellow, conference submission support, weekly speaker events, networking, workshops. Rolling application with 4-stage process: form, 15-min interview, mentor-specific tasks, mentor interview. International students with OPT/CPT eligible, full in-person participation required (18+ only).

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.95,
  "time_proximity": 0.9245283018867925,
  "community_signal": 0.75,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

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.

{
  "type_weight": 0.85,
  "source_trust": 0.9,
  "topic_relevance": 0.85,
  "time_proximity": 0.9428571428571428,
  "community_signal": 0.65,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 1,
  "source_count": 1
}

12-week research fellowship designed to train and support emerging researchers working on AI alignment, interpretability, governance, and safety. Fellows receive mentorship from leading researchers, research management support, and join focused community. In-person cohorts in Berkeley and London. Top performers can extend for additional 6-12 months with continued funding. Applications closed (deadline Jan 18), collecting expressions of interest for future cohorts.

{
  "type_weight": 0.8,
  "source_trust": 0.95,
  "topic_relevance": 0.95,
  "time_proximity": 0.9647798742138365,
  "community_signal": 0.9,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 0,
  "source_count": 1
}

The CAIS AI and Society Fellowship is a fully-funded three-month research program for scholars in economics, law, international relations, and adjacent disciplines to investigate how advanced AI may reshape social, economic, geopolitical, and legal systems. Fellows receive $25,000 stipend, covered travel to San Francisco, daily meals, and work with significant autonomy defining their own research directions at CAIS offices. Features regular guest speakers from Stanford, law schools, and international affairs experts.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.85,
  "time_proximity": 0.959748427672956,
  "community_signal": 0.8,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 0,
  "source_count": 2
}

ARENA's eighth cohort, a 4-5 week in-person bootcamp for alignment research engineering. Fully funded including travel, visas, accommodation, and meals. Participants build skills in mechanistic interpretability, RL, and transformers. Applications closed. Operated by London Initiative for Safe AI and funded by Coefficient Giving.

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

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.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.89937106918239,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

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.

{
  "type_weight": 0.8,
  "source_trust": 0.9,
  "topic_relevance": 0.9,
  "time_proximity": 0.89937106918239,
  "community_signal": 0.8,
  "speaker_org_signal": 0.85,
  "is_deadline_open": 0,
  "source_count": 1
}

4-month empirical AI safety research fellowship with Anthropic. Fellows work on scalable oversight, adversarial robustness, AI control, model organisms, mechanistic interpretability, AI security, and model welfare. Includes $3,850/week stipend, ~$15k/month compute, and close mentorship from Anthropic researchers. Over 80% of first cohort fellows produced papers.

{
  "type_weight": 0.8,
  "source_trust": 0.95,
  "topic_relevance": 0.95,
  "time_proximity": 0.3666666666666667,
  "community_signal": 0.9,
  "speaker_org_signal": 0.95,
  "is_deadline_open": 0,
  "source_count": 1
}

Foresight Institute flagship event gathering leading scientists, entrepreneurs, funders, and policymakers to explore frontiers of science and technology including AI safety. 40-year-old organization focused on transformative technology with dedicated AI safety track.

{
  "type_weight": 1,
  "source_trust": 0.75,
  "topic_relevance": 0.7,
  "time_proximity": 0.9446540880503145,
  "community_signal": 0.65,
  "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
}

Mentorship for Alignment Researchers at Cambridge AI Safety Hub. Teams of 2-4 participants paired with experienced mentors from AI labs, think tanks, and academia to produce published AI safety research. One-week in-person kick-off (July 13-19 or July 20-26) followed by 8-10 week part-time remote phase. Provides $2k+ compute budgets and research management support. Applications closed (Stage 1 deadline was May 3).

{
  "type_weight": 0.8,
  "source_trust": 0.8,
  "topic_relevance": 0.9,
  "time_proximity": 0.7534591194968554,
  "community_signal": 0.7,
  "speaker_org_signal": 0.75,
  "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
}

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.

{
  "type_weight": 0.65,
  "source_trust": 0.85,
  "topic_relevance": 0.8,
  "time_proximity": 0.8490566037735849,
  "community_signal": 0.7,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 0,
  "source_count": 1
}

World's first academic programme dedicated to AI evaluation combining technical depth with policy and governance perspectives. 150 hours total: 90 hours online (lectures, networking, activities), 20 hours hands-on courses, 40 hours in-person capstone week in Valencia. Cohort of 40 top global participants. Fully funded scholarships available. Graduates receive 15 ECTS Expert Diploma from ValgrAI. Faculty from Cambridge, Stanford, Princeton, EU AI Office, UK AI Safety Institute, FAR AI, Apollo Research. Funded by Coefficient Giving.

{
  "type_weight": 0.8,
  "source_trust": 0.85,
  "topic_relevance": 0.95,
  "time_proximity": 0,
  "community_signal": 0.75,
  "speaker_org_signal": 0.9,
  "is_deadline_open": 0,
  "source_count": 1
}

Two-day workshop focused on tensions between model developers and evaluation researchers, surfacing practical insights from across the evaluation ecosystem. Organized by EvalEval Coalition, hosted by Hugging Face, University of Edinburgh, and EleutherAI. Accepts full papers (6-8 pages), short papers (up to 4 pages), and tiny papers (up to 2 pages). Two-way anonymized review process.

{
  "type_weight": 0.85,
  "source_trust": 0.75,
  "topic_relevance": 0.8,
  "time_proximity": 0.8037735849056604,
  "community_signal": 0.6,
  "speaker_org_signal": 0.7,
  "is_deadline_open": 0,
  "source_count": 1
}

Part-time remote research program pairing aspiring researchers with 130+ experienced mentors from Google DeepMind, RAND, Apollo Research, MATS, UK AISI, and others for three-month projects. Participants dedicate 5-40 hours weekly tailored to individual availability. Research areas include AI safety, AI policy, AI security, interpretability, biosecurity, and societal impacts. Open to undergraduate, graduate/PhD students, and professionals at different experience levels. Applications closed (mentee deadline was Jan 14).

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

9th annual Cognitive Computational Neuroscience conference, a forum for discussion among researchers in cognitive science, neuroscience, and artificial intelligence focused on understanding computations underlying complex behavior. Single-track format with keynote speakers including Brenden Lake (Princeton), Ila Fiete (MIT), Kenji Doya (OIST), Doris Tsao (Berkeley), and Alona Fyshe (Alberta). AAE attendees follow for predictive-coding, metacognition, and signal-detection-theory measurement work applicable to LLMs.

{
  "type_weight": 1,
  "source_trust": 0.8,
  "topic_relevance": 0.7,
  "time_proximity": 0.6477987421383647,
  "community_signal": 0.5,
  "speaker_org_signal": 0.65,
  "is_deadline_open": 0,
  "source_count": 1
}

Two-day conference on global cooperation for cybersecurity resilience and stability. Organized by United Nations Institute for Disarmament Research. Addresses international frameworks for cyber governance and security cooperation.

{
  "type_weight": 1,
  "source_trust": 0.85,
  "topic_relevance": 0.6,
  "time_proximity": 0.4,
  "community_signal": 0.5,
  "speaker_org_signal": 0.75,
  "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
}

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.

{
  "type_weight": 0.45,
  "source_trust": 0.7,
  "topic_relevance": 0.7,
  "time_proximity": 0.5714285714285714,
  "community_signal": 0.6,
  "speaker_org_signal": 0.5,
  "is_deadline_open": 0,
  "source_count": 1
}