Deep Tractable Probabilistic Models for Moral Responsibility. - Lewis Hammond; Vaishak Belle (CoRR, 2018)

Multi-Agent Reinforcement Learning with Temporal Logic Specifications. - Lewis Hammond; Alessandro Abate; Julian Gutierrez 001; Michael J. Wooldridge (AAMAS, 2021)

Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice. - Lewis Hammond; James Fox; Tom Everitt; Alessandro Abate; Michael J. Wooldridge (AAMAS, 2021)

Rational Verification for Probabilistic Systems. - Julian Gutierrez 001; Lewis Hammond; Anthony W. Lin; Muhammad Najib; Michael J. Wooldridge (KR, 2021)

Rational verification: game-theoretic verification of multi-agent systems. - Alessandro Abate; Julian Gutierrez 001; Lewis Hammond; Paul Harrenstein; Marta Kwiatkowska; Muhammad Najib; Giuseppe Perelli; Thomas Steeples; Michael J. Wooldridge (Appl. Intell., 2021)

Learning tractable probabilistic models for moral responsibility and blame. - Lewis Hammond; Vaishak Belle (Data Min. Knowl. Discov., 2021)

Lexicographic Multi-Objective Reinforcement Learning. - Joar Skalse; Lewis Hammond; Charlie Griffin; Alessandro Abate (IJCAI, 2022)

Observational Robustness and Invariances in Reinforcement Learning via Lexicographic Objectives. - Daniel Jarne Ornia; Licio Romao; Lewis Hammond; Manuel Mazo Jr. 002; Alessandro Abate (CoRR, 2022)

On Imperfect Recall in Multi-Agent Influence Diagrams. - James Fox; Matt MacDermott; Lewis Hammond; Paul Harrenstein; Alessandro Abate; Michael J. Wooldridge (TARK, 2023)

Welfare Diplomacy: Benchmarking Language Model Cooperation. - Gabriel Mukobi; Hannah Erlebach; Niklas Lauffer; Lewis Hammond; Alan Chan; Jesse Clifton (CoRR, 2023)

Reasoning about causality in games. - Lewis Hammond; James Fox; Tom Everitt; Ryan Carey; Alessandro Abate; Michael J. Wooldridge (Artif. Intell., 2023)

Reasoning about Causality in Games (Abstract Reprint). - Lewis Hammond; James Fox; Tom Everitt; Ryan Carey; Alessandro Abate; Michael J. Wooldridge (AAAI, 2024)

Visibility into AI Agents. - Alan Chan; Carson Ezell; Max Kaufmann; Kevin Wei; Lewis Hammond; Herbie Bradley; Emma Bluemke; Nitarshan Rajkumar; David Krueger 001; Noam Kolt; Lennart Heim; Markus Anderljung (FAccT, 2024)

Cooperation and Control in Delegation Games. - Oliver Sourbut; Lewis Hammond; Harriet Wood (IJCAI, 2024)

Bounded robustness in reinforcement learning via lexicographic objectives. - Daniel Jarne Ornia; Licio Romao; Lewis Hammond; Manuel Mazo Jr. 002; Alessandro Abate (L4DC, 2024)

Secret Collusion among AI Agents: Multi-Agent Deception via Steganography. - Sumeet Ramesh Motwani; Mikhail Baranchuk; Martin Strohmeier; Vijay Bolina; Philip Torr 001; Lewis Hammond; Christian Schröder de Witt (NeurIPS, 2024)

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. - Rakshit Trivedi; Akbir Khan; Jesse Clifton; Lewis Hammond; Edgar A. Duéñez-Guzmán; Dipam Chakraborty; John P. Agapiou; Jayd Matyas; Alexander Sasha Vezhnevets; Barna Pásztor; Yunke Ao; Omar G. Younis; et al. (NeurIPS, 2024)

Secret Collusion Among Generative AI Agents. - Sumeet Ramesh Motwani; Mikhail Baranchuk; Martin Strohmeier; Vijay Bolina; Philip H. S. Torr; Lewis Hammond; Christian Schröder de Witt (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (CoRR, 2024)

IDs for AI Systems. - Alan Chan; Noam Kolt; Peter Wills; Usman Anwar; Christian Schröder de Witt; Nitarshan Rajkumar; Lewis Hammond; David Krueger 001; Lennart Heim; Markus Anderljung (CoRR, 2024)

Open Problems in Technical AI Governance. - Anka Reuel; Ben Bucknall; Stephen Casper; Timothy Fist; Lisa Soder; Onni Aarne; Lewis Hammond; Lujain Ibrahim; Alan Chan; Peter Wills; Markus Anderljung; Ben Garfinkel; et al. (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (Trans. Mach. Learn. Res., 2024)

Neural Interactive Proofs. - Lewis Hammond; Sam Adam-Day (ICLR, 2025)

Game Theory with Simulation in the Presence of Unpredictable Randomisation. - Vojtech Kovarík; Nathaniel Sauerberg; Lewis Hammond; Vincent Conitzer (AAMAS, 2025)

Open Problems in Technical AI Governance. - Anka Reuel; Benjamin Bucknall; Stephen Casper; Timothy Fist; Lisa Soder; Onni Aarne; Lewis Hammond; Lujain Ibrahim; Alan Chan; Peter Wills; Markus Anderljung; Ben Garfinkel; et al. (Trans. Mach. Learn. Res., 2025)

Multi-Agent Risks from Advanced AI. - Lewis Hammond; Alan Chan; Jesse Clifton; Jason Hoelscher-Obermaier; Akbir Khan; Euan McLean; Chandler Smith; Wolfram Barfuss; Jakob N. Foerster; Tomas Gavenciak; The Anh Han; Edward Hughes 001; et al. (CoRR, 2025)