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Kellin Pelrine

FAR.AI

SCHOLARLY PAPERS

4

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Scholarly Papers (4)

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1.

Open Technical Problems in Open-Weight AI Model Risk Management

Number of pages: 32 Posted: 06 Nov 2025 Last Revised: 06 Mar 2026
Stephen Casper, Kyle O'Brien, Shayne Longpre, Elizabeth Seger, Kevin Klyman, Rishi Bommasani, Aniruddha Nrusimha, Ilia Shumailov, Sören Mindermann, Steven Basart, Frank Rudzicz, Kellin Pelrine, Avijit Ghosh, Andrew Strait, Robert Kirk, Dan Hendrycks, Peter Henderson, J. Zico Kolter, Geoffrey Irving, Yarin Gal, Yoshua Bengio and Dylan Hadfield-Menell
Massachusetts Institute of Technology (MIT), ERA Fellowship, Massachusetts Institute of Technology (MIT), Centre for the Governance of AI, Independent, Stanford University, Massachusetts Institute of Technology (MIT), Google DeepMind, Independent, Independent, Dalhousie University, FAR.AI, Hugging Face, UK AI Security Institute, UK AI Security Institute, Center for AI Safety, Princeton University - Program in Law & Public Policy, Carnegie Mellon University, UK AI Security Institute, University of Oxford - Department of Computer Science, University of Montreal - Department of Informatics and Operations Research and Massachusetts Institute of Technology (MIT) - Electrical Engineering and Computer Science
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open-weights, open-weight, AI safety, AI risk, unlearning, training data, AI governance, ecosystem monitoring, open problems, deployment, transparency, evaluations, evals, audits, open-source

2.

AI Epistemic Risks: Emerging Mechanisms & Evidence

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AI Epistemic Risks: Emerging Mechanisms & Evidence

Number of pages: 97 Posted: 04 Jun 2026
Mick Yang, Stephen Casper, Jonathan Stray, Jasmine Li, Cameron Jones, Anna Gausen, Natasha Jaques, Brian Christian, Bálint Gyevnár, Hannah Kirk, Zhonghao He, Dan Zhao, Siao Si Looi, Joshua Levy, Kobi Hackenburg, Elizabeth Seger, Matt Kowal, Michelle Malonza, Luke Hewitt, Hause Lin, Maarten Sap, Dylan Hadfield-Menell, Thomas Costello, Reihaneh Rabbany, Jean-François Godbout, David Rand, Atoosa Kasirzadeh, Gordon Pennycook, Yoshua Bengio and Kellin Pelrine
University of Pennsylvania, Massachusetts Institute of Technology (MIT), University of California, Berkeley - Center for Human-Compatible AI, Cornell University, Stony Brook University, Imperial College London, University of Washington, University of Oxford, Carnegie Mellon University, University of Oxford, University of Cambridge, Massachusetts Institute of Technology (MIT), FAR.AI, FAR.AI, University of Oxford, Tony Blair Institute for Global Change, FAR.AI, ILINA Program, Stanford University, Massachusetts Institute of Technology (MIT), Carnegie Mellon University, Massachusetts Institute of Technology (MIT) - Electrical Engineering and Computer Science, Carnegie Mellon University, McGill University, University of Montreal - Université de Montreal, Cornell University, Carnegie Mellon University, Cornell University, University of Montreal - Department of Informatics and Operations Research and FAR.AI
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AI, LLM, epistemic, risks, cognitive, neuroscience, reasoning, decision-making, learning, education, feedback loops, echo chambers, human-AI, AI-AI, interaction, HCI, homogenization, algorithmic monoculture, fragmentation, policy, AI safety, AI ethics, metascience, alignment, value alignment, pluralistic alignment, socioaffective, RLHF, reinforcement learning, psychology, persuasion, manipulation, political, influence, misuse, misalignment, incentives, institutions, knowledge commons, data commons, information environment

AI Epistemic Risks: Emerging Mechanisms & Evidence

Posted: 23 Jun 2026
Stephen Casper, Jonathan Stray, Anna Gausen, Cameron Jones, Brian Christian, Bálint Gyevnár, Siao Si Looi, Joshua Levy, Elizabeth Seger, Hannah Kirk, Kobi Hackenburg, Matt Kowal, Michelle ., Dan Zhao, Zhonghao He, Luke Hewitt, Hause Lin, Maarten Sap, Dylan Hadfield-Menell, Atoosa Kasirzadeh, Gordon Pennycook, Jean-François Godbout, Kellin Pelrine, Reihaneh Rabbany, Natasha Jaques, Jasmine Li, Yoshua Bengio, David Rand, Thomas Costello and Mick Yang
Massachusetts Institute of Technology (MIT), University of California, Berkeley - Center for Human-Compatible AI, Imperial College London, Stony Brook University, University of Oxford, Carnegie Mellon University, FAR.AI, FAR.AI, Tony Blair Institute for Global Change, University of Oxford, University of Oxford, FAR.AI, ILINA Program, Massachusetts Institute of Technology (MIT), University of Cambridge, Stanford University, Massachusetts Institute of Technology (MIT), Carnegie Mellon University, Massachusetts Institute of Technology (MIT) - Electrical Engineering and Computer Science, Carnegie Mellon University, Cornell University - Department of Psychology, University of Montreal - Université de Montreal, FAR.AI, McGill University, University of Washington, Cornell University, University of Montreal - Department of Informatics and Operations Research, Cornell University, Carnegie Mellon University and University of Pennsylvania

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AI, AI Risks, Epistemic Risks, Cognitive, Science, Influence, LLMs, Psychology, Education, Development, Learning, Education, AI-AI, Human-AI, Interaction, Feedback Loops, Echo Chambers, Homogenization, Monoculture, Fragmentation, Conflict, Lock-in, Value Alignment, Pluralistic Alignment, Technical Alignment, Moral Alignment, Incentives, Information Environment, AI Governance, AI Policies, Sycophancy, Manipulation, Persuasion, Socioaffective, Epistemic Resilience, AI Education, AI Literacy, Interaction Design

3.

SandboxSocial: A Sandbox for Social Media using Multimodal AI Agents

Number of pages: 14 Posted: 14 Aug 2025
Maximilian Puelma Touzel, Sneheel Sarangi, Gayatri Krishnakumar, Bursa Tugce Gurbuz, Austin Welch, Zachary Yang, Andreea Musulan, Hao Yu, Ethan Kosak-Hine, Tom Gibbs, Camille Thibault, Reihaneh Rabbany, Jean-François Godbout, Dan Zhao and Kellin Pelrine
Mila - Quebec AI Institute, New York University (NYU) - New York University, Abu Dhabi, RVCE, Bangalore, McGill University, Independent, McGill University, Mila - Quebec AI Institute, McGill University, Mila - Quebec AI Institute, Mila - Quebec AI Institute, University of Montreal - Université de Montreal, McGill University, University of Montreal - Université de Montreal, Massachusetts Institute of Technology (MIT) and FAR.AI
Downloads 171 (461,984)

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Social Simulations, Large Language Models, AI Agents, Agent-Based Models, Social Media, Multimodality

4.

Online Influence Campaigns: Strategies and Vulnerabilities

Number of pages: 51 Posted: 27 Jan 2025
Andreea Musulan, Veronica Xia, Ethan Kosak-Hine, Tom Gibbs, Vidya Sujaya, Reihaneh Rabbany, Jean-François Godbout and Kellin Pelrine
University of Montreal - Université de Montreal, McGill University, Mila - Quebec AI Institute, Mila - Quebec AI Institute, McGill University, McGill University, University of Montreal - Université de Montreal and FAR.AI
Downloads 34 (1,277,121)

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social media, AI, disinformation, misinformation, public opinion, manipulation, malicious activity, malicious actors, cybersecurity, case study, influence campaigns, manipulation campaigns, manipulation strategies, vulnerabilities, inauthentic activity, AGI, ASI