A 501(c)(3) nonprofit that funds, accelerates, and advocates for AI alignment research by providing engineering teams, compute, and infrastructure to researchers pursuing neglected approaches.
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Clear filtersA 501(c)(3) nonprofit that funds, accelerates, and advocates for AI alignment research by providing engineering teams, compute, and infrastructure to researchers pursuing neglected approaches.
Showing 3451-3500 of 3787 results
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Ori Nagel is the producer of the Doom Debates show, having first collaborated behind the scenes during its initial year before officially joining as Producer after being hired away from the media and outreach team at ControlAI, where he significantly grew their social media presence.
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Shlomo Zilberstein is a Professor in the Manning College of Information and Computer Sciences at UMass Amherst whose research in artificial intelligence focuses on the computational foundations of automated reasoning and action under uncertainty and limited computational resources, using probabilistic reasoning and decision-theoretic principles to develop planning algorithms and meta-level control techniques for autonomous agents, often in multi-agent settings.
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A monthly newsletter curating and summarizing the most important AI safety research papers focused on frontier models, written by Johannes Gasteiger of Anthropic's Alignment Science team.
A UK nonprofit applying formal methods and machine learning to build open infrastructure for mathematically guaranteed AI safety assurance.
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Safe Superintelligence Inc. (SSI) is an AI research company founded by Ilya Sutskever focused solely on building safe superintelligence, with no other products or commercial distractions.
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Sanmi Koyejo is an Assistant Professor of Computer Science at Stanford University, where he leads the Stanford Trustworthy AI Research (STAIR) lab, and a co-founder of Virtue AI developing enterprise solutions for AI safety and security.
Patrick is a Finance Associate at Giving What We Can. He previously worked as a Finance Associate at Impact Ops and as a Finance Analyst at the University of Buckingham, and he holds a first‑class degree in Philosophy from Durham University, where he wrote his dissertation on moral uncertainty.
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Exec Assistant @ EA UK
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Daniel O'Connell is the CTO and co-founder of Equistamp, a Public Benefit Corporation that provides research operations for AI safety organizations. Equistamp grew out of Rob Miles' AI safety Discord community and was established in late 2023. O'Connell, a UK citizen, has contributed to AI safety evaluation infrastructure for organizations including METR, the UK AI Security Institute, and Redwood Research. He co-authored the HCAST (Human-Calibrated Autonomy Software Tasks) benchmark paper, which provides a set of 189 machine learning engineering, cybersecurity, software engineering, and general reasoning tasks for evaluating AI autonomy. His work focuses on evaluation implementation, task quality assurance, and baselining for frontier AI models.
Independent researcher working on foundational models of large language model behaviour and alignment. My work focuses on mechanistic explanations of hallucination, coherence, and failure modes using systems theory, information theory, and learning dynamics. I am currently developing a boundary-mediated framework for understanding inference and learning in LLMs, with an emphasis on testable predictions and alignment-relevant design patterns.
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Founder @ Nisit Sam Yan | Empowering Youth Through Publishing | Trying to be a Good Ancestor
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Astera's Neuro & AGI program is an in-house research effort that draws on neuroscience to develop safe and aligned artificial general intelligence, operating under the Astera Institute founded by Jed McCaleb.
AI safety researcher who runs AI Lab Watch, where he collects safety recommendations for frontier AI companies, tracks what they are doing, evaluates them on safety, maintains related information collections, and blogs about how companies can prevent extreme risks such as AI takeover and human extinction.
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Calling on policymakers to implement a global moratorium on large AI training runs until alignment is solved.
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An AI security accelerator and research lab based in San Francisco that invests in and supports early-stage startups building infrastructure for safe AGI deployment.
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A curated online hub for researchers to discuss technical AI alignment research, operated by Lightcone Infrastructure. It serves as the primary venue for sharing and coordinating cutting-edge alignment ideas across organizations including MIRI, OpenAI, DeepMind, CHAI, and others.
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Co-founder and President of Safe Superintelligence Inc., also serving as Co-founder and Principal Scientist, and previously a member of technical staff at OpenAI.
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Georgetown University think tank providing decision-makers with data-driven analysis on the security implications of emerging technologies.
Member of Technical Staff at AI Digest, working on the organization’s interactive AI explainers and demos including projects like the AI Village.
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Richard Higgins is a researcher at Softmax with a PhD from the University of Michigan whose work spans compositional image editing with latent diffusion (ICCV 2025), hand–object segmentation in video (CVPR 2023, NeurIPS 2021), and solar magnetic field estimation; he has previously been a visiting academic at NYU Courant and a computer vision research intern at Meta.
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Senior researcher whose work at ACS focuses on understanding the civilisational ramifications of powerful AI systems and developing better accounts of how agency works in AI systems, alongside a research affiliation with the University of Toronto computer science department and contributions to the 2026 International AI Safety Report.
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Curriculum Developer & Instructor at the Center for Applied Rationality. Davis has been involved with CFAR since early 2014 in operations, finance, curriculum development, and teaching, and also has experience as a competitive tabletop gamer, commentator, and writer, with a bachelor’s degree in psychology from Carleton College.
Purdue University is a major public research university in West Lafayette, Indiana, whose computer science department has received AI safety funding for research on language model robustness and adversarial deception detection.