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Showing 2051-2100 of 2718 results
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Clear filters to view everything →Professor of Computer Science at Deakin University in Geelong, Deputy Head of the School of Information Technology and leader of the Machine Intelligence Lab, co-founder/co-leader of ARAAC, and a leading researcher on human-aligned autonomous agents through safe, ethical, explainable and interactive methods using multi-objective reinforcement learning.
Independent researcher working on interpretability for large language models and a Research Engineer at EquiStamp working with Redwood Research; he also facilitates AGI Strategy courses for BlueDot Impact and organizes AI Salon Berlin.
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Maris Sala is an Operations Specialist at 80,000 Hours. She studied cognitive science at Aarhus University in Denmark, where her research focused on comparing people’s stated attitudes with their actual behaviour using online discourse data. She has also been involved with the effective altruism community through writing and research on existential risk and AI alignment.
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Assistant Professor of Cyber Security at the University of Birmingham and co-founder/director of Zeroth Research, with research focusing on the security of autonomous systems, explainable AI, and formal verification of machine learning algorithms; he is principal investigator on the ARIA Safeguarded AI grant “Infrastructure for Safeguarded AI Systems.”
Partner at Fifty Years with a PhD in Environmental Science from Caltech; previously worked at Divergent Technologies developing metal 3D‑printed vehicle structures and hypercars running on renewable methanol, and co-founded a startup at Caltech to commercialize causality algorithms.
Amrita A. Nair is a Digital Design (RTL) Engineer at Texas Instruments based in Dallas, Texas. She received her B.Tech from the College of Engineering, Trivandrum, India, and previously served as Chairperson of the IEEE Student Branch at CET. She has received grants from EA Funds (listed on her LinkedIn as a Centre for Effective Altruism Grant Recipient) to upskill in technical AI safety and explore a potential career transition into AI alignment research.
Dr Rachel Adams is Executive Director and Research Professor at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge and the Founding CEO of the Global Centre on AI Governance, an Africa‑based research collective that houses the African Observatory on Responsible AI and the Global Index on Responsible AI. Her work on AI governance, global inequality and digital rights combines academic research with high‑level policy engagement, including leading roles in drafting the African Union’s Continental AI Strategy and advising organisations such as UNESCO, the UN, the UK Foreign, Commonwealth & Development Office, UNDP, the Gates Foundation and the Global Partnership on AI. She holds degrees in English literature, international human rights law and philosophy and is the author of several books, including The New Empire of AI: The Future of Global Inequality.
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Dongyeop Kang is an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota Twin Cities, where he leads the Minnesota NLP group. His research focuses on building human-centric natural language processing systems by learning from human perception and interaction, developing interactive humanAI systems, and advancing AI as a thinking partner for expert cognitive workflows.
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Co-founder of Impact Academy, involved in designing and evaluating the initial Future Academy program and early organisational strategy for the project.
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Researcher who aims to explain artificial neural networks by uncovering interpretable symbolic algorithms they implement, using formal models of causality and a theory of causal abstraction to understand the relationship between neural networks and high-level algorithms, with work intended to make models more reliable, safe, and trustworthy.
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Director of Research at the Institute for Law & AI whose work focuses on the law, policy, and governance of advanced artificial intelligence, particularly preventing severe harms to public safety and global security. He previously held policy and legal roles at OpenAI, is a Research Affiliate at the Centre for the Governance of AI, and serves as a vice president of the O’Keefe Family Foundation.
Chinasa T. Okolo, Ph.D., is a fellow in the Center for Technology Innovation within the Governance Studies program at the Brookings Institution. Her research focuses on AI governance in emerging markets, AI literacy upskilling, human-centered approaches to AI explainability, the future of data work, and leveraging AI to advance global health.
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Amanda (Rae) She is People Operations Lead at METR, providing operational support to the executive office and broader team on organizational and people operations. She has a background in software engineering and holds a degree in computer science from Georgia Tech.
Prachee Avasthi is Head of Open Science at Astera Institute, where she leads efforts to experiment with new approaches and tools for sharing research and pushing the boundaries of open science. A neuroscientist by training with a PhD in neuroscience, she was previously an Associate Professor of Biochemistry and Cell Biology at Dartmouth’s Geisel School of Medicine, co-founded and serves as Chief Science Officer at Arcadia Science, and has held leadership roles at eLife and ASAPbio advocating for open, collaborative research practices.
Nick Fitz is the Founder & Managing Partner of Juniper Ventures, an early-stage fund focused on AI assurance. He previously founded Momentum, an AI-driven fundraising platform acquired by Virtuous, and worked as a senior behavioral scientist at Duke University’s Center for Advanced Hindsight. He also advises AI safety and infrastructure efforts such as Apart Research and Seldon Lab.
Dillon Bowen is a researcher and engineer working on AI safety, currently a Member of Technical Staff on the Safety Systems team at OpenAI. He holds a PhD in Decision Processes from the Wharton School of Business, where he studied statistics, experiment design, and forecasting under Philip Tetlock, as well as a Graduate Diploma and MPhil in Economics from the University of Cambridge and a BA in Cognitive Science and Philosophy from Tufts University. Prior to OpenAI, he was a Research Scientist at FAR.AI focused on catastrophic risks from frontier models, and before that a principal data scientist at a London-based startup. He also conducted AI safety research through the ML Alignment and Theory Scholars (MATS) program and at UC Berkeley's Center for Human-Compatible AI (CHAI). His AI safety work includes co-developing the StrongREJECT jailbreak evaluation benchmark, research on data poisoning scaling laws, safety gap analysis for open-weight models, and work on decoding-time alignment for large language models. He received a Long-Term Future Fund grant to support his transition into an AI safety career.
Director of Operations at PIBBSS, professor of finance and economics, and trainer and coach in confidence, public speaking, team skills and leadership, with consulting and entrepreneurial experience across Europe and Asia and a long history of involvement in charity and effective altruism.
Digital publishing entrepreneur and investor who built online media businesses such as Environmental Graffiti, Hexagram, Scribol and Pub Ocean (later Content IQ), and now co‑founds Silvestre Nosara, a sustainable beachfront hotel and community space in Nosara, Costa Rica.
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Managing Director (Head) of the ETH Zurich Foundation with a background in civil and environmental engineering and long-standing leadership in university philanthropy.
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Ian Burton is a Research Assistant at the Odyssean Institute and a PhD student at the University of Exeter’s Environmental Intelligence CDT. His research focuses on energy–economy modelling, including power-system transitions, uncertainty quantification in climate-policy modelling and the politics of knowledge production in transitions research. He works with the E3ME-FTT family of energy–economy–environment models, particularly FTT: Power, and is associated with groups such as Exeter Climate Policy and the Centre for Responsible Innovation.
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Michael Dickens is an independent researcher focused on effective altruism topics, including cause prioritization, investment strategy for altruistic donors, AI safety, and quantitative ethics. He previously worked as a software developer at Affirm and became involved in the EA community through Stanford Effective Altruism (then called Stanford THINK) in 2012. He maintains a personal blog called Philosophical Multicore (mdickens.me) where he publishes research and analysis on topics he considers important, tractable, and interesting. In 2020, he received a $33,000 grant from the Long-Term Future Fund to conduct independent research on cause prioritization, with a particular focus on investment strategies for effective altruists and the question of whether to give now or save and donate later. He has published influential posts on quantitative cause selection models on the EA Forum and has written extensively on AI safety strategy, moral circle expansion, and empirical approaches to prioritization. He also does consulting work for nonprofits.
Amalie is the Community Engagement Coordinator at Giving What We Can, where she helps grow the community of pledgers through conference outreach and supports the broader effective giving community in building a culture where giving effectively and significantly is the norm. She has an academic background in nanotechnology and previously worked as a recruitment manager with Ambitious Impact and as a conference organiser.
Katrina Sill is Global Health and Development Lead at Founders Pledge, where she researches and evaluates high-impact funding opportunities and manages the GHD Catalytic Impact Fund. Previously, she was Associate Director at Innovations for Poverty Actions Right-Fit Evidence Unit, advising international development funders and implementers on data-driven decision making.
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Neuroscientist and neurotechnologist building neurotech infrastructure; Research Scientist at Sanmai working on focused ultrasound neuromodulation and Venture Fellow at Kaleida Capital advising early-stage neurotechnology companies.
Ubadah Sabbagh, PhD, is a neuroscientist, biotech strategist, and policy advisor focused on building more open and impactful scientific ecosystems. He serves as Chief of Staff to the Chief Science Officer at Arcadia Science and to the Head of Open Science at Astera Institute, previously conducted NIH‑funded research at MIT’s McGovern Institute on thalamocortical circuits and neurodevelopmental disorders, and founded the science policy consultancy Inara along with initiatives such as the sifr prize.
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