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I build instruments that hold AI agents accountable: open reliability evals, tamper-evident audit logs, spend caps. All of it public and inspectable.
No summary available yet.
No summary available yet.
I am a researcher creating evals and RL environments to study how LLMs perform when humans delegate tasks to them but do not completely specify all the parameters of the task.
Started an Agtech/LandTech firm Folcright LLC, focused on state and local rural economic development. Prior background in Remote Sensing and GIS. Currently advise USMC senior leadership on Enterprise IT transformation and AI adoption. Started CrucibleBench as a side project with some friends working to understand the ability to utilize MUD games for persistent long-term AI evaluations.
Medical doctor turned field builder for nonhuman welfare.
CIPP/E-certified Healthtech data privacy and AI governance consultant with 10+ years of cross-sector experience spanning federal agency projects/contracts, impact investing, and digital health. This includes conducting privacy impact assessments (for US agencies), Oxford AI Ethics training and delivering insights for navigating the intersection of GDPR, the EU AI Act, and Medical AI compliance. Obtained a Master of Public Health (MPH) focused in Health Systems and Policy from Johns Hopkins Bloomberg School of Public Health and a Bachelor of Science in Community and Public Health from University of Maryland, College Park.
Fmr CEO at Giving What We Can, now COO at Good Ancestors, an Australian policy organisation working on this century’s biggest challenges such as AI safety, pandemic prevention, and catastrophic disaster policy. Most of my time is spent on AI safety policy. I believe we’re in a narrow window where the policy decisions we make about advanced AI systems will matter enormously, and that Australia has an opportunity to play a role here. I was the operational driver of the Australian AI Safety Forum in 2026.
No summary available yet.
For twelve years I've worked on the security of systems that can't be allowed to fail. At the National Laboratory of the Rockies (formerly NREL, 2019–2026) I was Senior Cybersecurity Researcher and Principal Investigator: I directed the network/communications pillar of Liberty Eclipse, DOE CESER's full-scale national grid-recovery exercise; engineered the ARIES Cyber Range into a high-fidelity emulation of multi-owner power systems; and led the lab's initiative integrating Cyber-Informed Engineering into national lifecycles. Earlier, I built smart-grid black-start simulations for DARPA RADICS and assessed embedded aircraft network vulnerabilities at Boeing Research & Technology. Alongside that work I founded and chaired the DEFCON Ethics Village (2017–2019), have presented at DEFCON's ICS Village for the last three years, and teach graduate-level system security as adjunct faculty at Colorado School of Mines. I co-authored a 2019 paper "A Graph-Based Analysis of Industrial Control Systems Network Traffic" Imani Palmer, Shane McFly and Edmond Rogers. In May 2026 I left the lab to move into AI safety full-time. The same engineering discipline that keeps the grid trustworthy — threat modeling, engineered-in consequence limits, verifiable state — is missing from how AI agents handle memory and persistent context. I've been working on this already: a working paper on context persistence and state integrity in distributed multi-agent LLM architectures, and Gemma/Artoo, a multi-agent system I built and operate on my own hardware as a testbed for auditable agent memory.
Computational Complexity & AI Alignment Independent Researcher
Solo creator of DriftBench — an open-source, deterministic benchmark for how faithfully AI tracks a person's changing beliefs.
AI Governance researcher with 25+ years of experience in qualitative stakeholder research. Appointed Expert at the Global AI Ethics Institute (Paris). Developer of the Cooperative Alignment Assessment Framework (CAAF), a cross-cultural audit tool for AI behavioral accountability. Published researcher (Beyond Technical Compliance series, SSRN). Presented at the ADBI-JICA AI Forum.
Project coordinator at Riesgos Catastroficos Globales
Founder of Constraint Dynamics, building Golem: a geometric knowledge system for verification-before-voice AI.
I’m an economist and policy researcher focused on improving the long run future via interventions that condition on very powerful AI systems arriving this century.
Undergrad researcher interested in suffering ethics & technical AI gov
Co-founder of EquiStamp, a third-party evaluator that provides objective evaluations of frontier language-model systems and has served as a key contractor to METR on projects such as RE-Bench.
Garrett Baker is an independent AI alignment researcher based in Berkeley, CA. He works on using singular learning theory (SLT), neuroscience, and reinforcement learning to build mathematically grounded theories for how values develop during training in ML systems. He has participated in the MATS program twice — as a MATS 3.0 scholar working on mechanistic interpretability of maze-solving agents under Alex Turner, and in the MATS 5.0/5.1 developmental interpretability stream — and has received funding via Manifund for both a MATS stipend and a full-time research salary. His research investigates epoch-wise critical periods in neural networks through an SLT lens, explores connections between ML inductive biases and neuroscience, and aims to create training stories that could produce inner-aligned AI. He is an active contributor to LessWrong and the AI Alignment Forum under the handle d0themath, with over 77 posts and 6,600 karma.
Founder of CIRIS, open-source accountability infrastructure for autonomous AI: cryptographic attestation, runtime conscience, the Coherence Ratchet. Live in 14 languages, AGPL, mission-locked. Formerly IBM Associate Partner and AWS Professional Services.
Mateusz Bagiński is a Polish AI safety researcher currently based in Tallinn, Estonia. He holds a BSc and MSc in cognitive science, and previously worked as a programmer at a startup developing software for enhancing collective sense-making. He transitioned into technical AI safety research after completing his dissertation, receiving a Long-Term Future Fund grant to skill up and gain experience working on AI safety full-time. In 2024, he was a PIBBSS Fellow mentored by Tsvi Benson-Tilsen (ex-MIRI), where he conducted a conceptual investigation of the core drivers of goal-achieving mental activity using the hermeneutic net method, presenting preliminary results at the PIBBSS Symposium '24 under the title "Fixing our concepts to understand minds and agency." His research focus is on theoretical and agent foundations work. He is active on LessWrong and the EA Forum, and has co-authored posts on AI safety policy including arguments for why safety-concerned researchers at capabilities labs should speak out publicly. He is the organizer of the AFFINE Superintelligence Alignment Seminar, a five-weekend intensive program in Hostačov, Czech Republic bringing together approximately 35 participants with leading mentors in the field.
No summary available yet.
independent
Mathematician Researching AI Safety
AI safety organiser and writer based in Sydney who co-founded AI Safety Australia and New Zealand, has been involved in the AI safety space for more than half a decade, leads local movement-building in Australia and New Zealand, and has experience including a summer fellowship with the Stanford Existential Risk Initiative, facilitation for BlueDot Impact and the Center for AI Safety, and organising the Sydney AI Safety Fellowship.
No summary available yet.
Alignment/digital minds researcher at AE Studio
Manifund's account for Mox, a coworking & events space in SF
Historian of Ideas focused on the history of AI.
Gergő Gáspár is a community builder with an academic background in psychology. Since 2019 he has grown EA organising work from a university group into the national organisation EA Hungary, founded AI Safety Hungary, and moved into full-time community building in 2021. He has served as a part-time Director at the European Network for AI Safety, co-founded Amplify, an EA-aligned digital marketing agency supporting fieldbuilding organisations, previously volunteered as a charity analyst and analysis coordinator at SoGive, and now directs Effective Altruism UK while writing the Building Capacity Substack on fieldbuilding strategy, careers and marketing.
Independent researcher (published preprint; ~10 months continuous deployment) studying how memory-augmented AI systems fail at truthfulness and emotional honesty.
AI Security at CERT by day, AI existential risk by night.
No summary available yet.
Behavioral biologist, founder of the AGI Rights Project. Author of Die Magie der Gemeinschaft
Co-Founder, Techplomacy Founation
Talent Lead at Talos Network
No summary available yet.
No summary available yet.
ai evals, tools for thought, takes subjective experience seriously
Organizing and lobbying in the US for a global Pause on frontier AI development. (Account run by Executive Director Holly Elmore.)
No summary available yet.
TheaTERRA is a small production company located in Vancouver BC. We create works of art to promote community awareness and inspire positive change makers of all ages. Our topics of interest are AI safety and literacy, Animal Welfare, Inclusion, Water Conservation, Zero Waste, Climate Change, Invasive Species and Emergency Preparedness, Natural Horsemanship.
Solo founder in Edmonton building Ndome — independent, mechanically-verifiable safety scoring for AI agents. I publish the honest number and let evidence move it.
Founder of Crenel Logic, Inc. & AI safety researcher. Creator of the VSPE framework (white paper, patent pending). Counseling-psych grad student.
No summary available yet.
Michel Justen is the AI Grants Lead at the Tarbell Center for AI Journalism, an organization funded by Coefficient Giving (formerly Open Philanthropy), where he manages the center's reporting grants program. Previously, he was a 2024 Research Fellow at Pivotal Research, where he studied international AI governance and benefit-sharing — specifically how the US government might share financial or access benefits from advanced AI to unlock international safety agreements, mentored by Matthew van der Merwe and Max Dalton. Before that, he worked as an Events Associate at the Centre for Effective Altruism, running events including the Summit on Existential Security and the New Orleans Alignment Workshop, and co-founded and scaled the EA Opportunity Board. He also founded the EA student group at the University of Wisconsin–Madison, where he studied Neurobiology and Psychology. He received a Long-Term Future Fund grant to produce an animated video essay explaining how AI could accelerate AI R&D and the implications for AI governance. He writes on AI governance topics through his Substack newsletters 'What is this' and 'With (some) respect to AI.'
I create films about AI.
No summary available yet.
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No summary available yet.
