Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences. - Raphael Köster; Kevin R. McKee; Richard Everett 001; Laura Weidinger; William S. Isaac; Edward Hughes 001; Edgar A. Duéñez-Guzmán; Thore Graepel; Matthew M. Botvinick; Joel Z. Leibo (CoRR, 2020)

Modelling Cooperation in Network Games with Spatio-Temporal Complexity. - Michiel A. Bakker; Richard Everett 001; Laura Weidinger; Iason Gabriel; William S. Isaac; Joel Z. Leibo; Edward Hughes 001 (AAMAS, 2021)

Alignment of Language Agents. - Zachary Kenton; Tom Everitt; Laura Weidinger; Iason Gabriel; Vladimir Mikulik; Geoffrey Irving (CoRR, 2021)

Ethical and social risks of harm from Language Models. - Laura Weidinger; John Mellor; Maribeth Rauh; Conor Griffin; Jonathan Uesato; Po-Sen Huang; Myra Cheng; Mia Glaese; Borja Balle; Atoosa Kasirzadeh; Zac Kenton; Sasha Brown; et al. (CoRR, 2021)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher. - Jack W. Rae; Sebastian Borgeaud; Trevor Cai; Katie Millican; Jordan Hoffmann; H. Francis Song; John Aslanides; Sarah Henderson; Roman Ring; Susannah Young; Eliza Rutherford; Tom Hennigan; et al. (CoRR, 2021)

Taxonomy of Risks posed by Language Models. - Laura Weidinger; Jonathan Uesato; Maribeth Rauh; Conor Griffin; Po-Sen Huang; John Mellor; Amelia Glaese; Myra Cheng; Borja Balle; Atoosa Kasirzadeh; Courtney Biles; Sasha Brown; et al. (FAccT, 2022)

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. - Maribeth Rauh; John Mellor; Jonathan Uesato; Po-Sen Huang; Johannes Welbl; Laura Weidinger; Sumanth Dathathri; Amelia Glaese; Geoffrey Irving; Iason Gabriel; William Isaac 001; Lisa Anne Hendricks (NeurIPS, 2022)

Improving alignment of dialogue agents via targeted human judgements. - Amelia Glaese; Nat McAleese; Maja Trebacz; John Aslanides; Vlad Firoiu; Timo Ewalds; Maribeth Rauh; Laura Weidinger; Martin J. Chadwick; Phoebe Thacker; Lucy Campbell-Gillingham; Jonathan Uesato; et al. (CoRR, 2022)

Sociotechnical Safety Evaluation of Generative AI Systems. - Laura Weidinger; Maribeth Rauh; Nahema Marchal; Arianna Manzini; Lisa Anne Hendricks; Juan Mateos-Garcia; A. Stevie Bergman; Jackie Kay; Conor Griffin; Ben Bariach; Iason Gabriel; Verena Rieser; et al. (CoRR, 2023)

All Too Human? Mapping and Mitigating the Risk from Anthropomorphic AI. - Canfer Akbulut; Laura Weidinger; Arianna Manzini; Iason Gabriel; Verena Rieser (AIES (1), 2024)

Gaps in the Safety Evaluation of Generative AI. - Maribeth Rauh; Nahema Marchal; Arianna Manzini; Lisa Anne Hendricks; Ramona Comanescu; Canfer Akbulut; Tom Stepleton; Juan Mateos-Garcia; A. Stevie Bergman; Jackie Kay; Conor Griffin; Ben Bariach; et al. (AIES (1), 2024)

STAR: SocioTechnical Approach to Red Teaming Language Models. - Laura Weidinger; John Mellor; Bernat Guillen Pegueroles; Nahema Marchal; Ravin Kumar; Kristian Lum; Canfer Akbulut; Mark Diaz; A. Stevie Bergman; Mikel Rodriguez; Verena Rieser; William Isaac 001 (EMNLP, 2024)

Holistic Safety and Responsibility Evaluations of Advanced AI Models. - Laura Weidinger; Joslyn Barnhart; Jenny Brennan; Christina Butterfield; Susie Young; Will Hawkins; Lisa Anne Hendricks; Ramona Comanescu; Oscar Chang; Mikel Rodriguez; Jennifer Beroshi; Dawn Bloxwich; et al. (CoRR, 2024)

The Ethics of Advanced AI Assistants. - Iason Gabriel; Arianna Manzini; Geoff Keeling; Lisa Anne Hendricks; Verena Rieser; Hasan Iqbal; Nenad Tomasev; Ira Ktena; Zachary Kenton; Mikel Rodriguez; Seliem El-Sayed; Sasha Brown; et al. (CoRR, 2024)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. - Irina Jurenka; Markus Kunesch; Kevin R. McKee; Daniel Gillick; Shaojian Zhu; Sara Wiltberger; Shubham Milind Phal; Katherine L. Hermann; Daniel Kasenberg; Avishkar Bhoopchand; Ankit Anand; Miruna Pîslar; et al. (CoRR, 2024)

Operationalizing Contextual Integrity in Privacy-Conscious Assistants. - Sahra Ghalebikesabi; Eugene Bagdasaryan; Ren Yi; Itay Yona; Ilia Shumailov; Aneesh Pappu; Chongyang Shi 003; Laura Weidinger; Robert Stanforth; Leonard Berrada; Pushmeet Kohli; Po-Sen Huang; et al. (CoRR, 2024)

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources. - Shayne Longpre; Stella Biderman; Alon Albalak; Hailey Schoelkopf; Daniel McDuff; Sayash Kapoor; Kevin Klyman; Kyle Lo; Gabriel Ilharco; Nay San; Maribeth Rauh; Aviya Skowron; et al. (Trans. Mach. Learn. Res., 2024)

Century: A Framework and Dataset for Evaluating Historical Contextualisation of Sensitive Images. - Canfer Akbulut; Kevin Robinson; Maribeth Rauh; Isabela Albuquerque; Olivia Wiles; Laura Weidinger; Verena Rieser; Yana Hasson; Nahema Marchal; Iason Gabriel; William Isaac 001; Lisa Anne Hendricks (ICLR, 2025)

Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextual Integrity. - Sahra Ghalebikesabi; Eugene Bagdasarian; Ren Yi; Itay Yona; Ilia Shumailov; Aneesh Pappu; Chongyang Shi 003; Laura Weidinger; Robert Stanforth; Leonard Berrada; Pushmeet Kohli; Po-Sen Huang; et al. (Trans. Mach. Learn. Res., 2025)

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models. - Lujain Ibrahim; Canfer Akbulut; Rasmi Elasmar; Charvi Rastogi; Minsuk Kahng; Meredith Ringel Morris; Kevin R. McKee; Verena Rieser; Murray Shanahan; Laura Weidinger (CoRR, 2025)

Do LLMs exhibit demographic parity in responses to queries about Human Rights? - Rafiya Javed; Jackie Kay; David Yanni; Abdullah Zaini; Anushe Sheikh; Maribeth Rauh; Ramona Comanescu; Iason Gabriel; Laura Weidinger (CoRR, 2025)

Toward an Evaluation Science for Generative AI Systems. - Laura Weidinger; Inioluwa Deborah Raji; Hanna M. Wallach; Margaret Mitchell; Angelina Wang; Olawale Salaudeen; Rishi Bommasani; Deep Ganguli; Sanmi Koyejo; William Isaac 001 (CoRR, 2025)