Social and Governance Implications of Improved Data Efficiency. - Aaron D. Tucker; Markus Anderljung; Allan Dafoe (AIES, 2020)

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. - Miles Brundage; Shahar Avin; Jasmine Wang; Haydn Belfield; Gretchen Krueger; Gillian K. Hadfield; Heidy Khlaaf; Jingying Yang; Helen Toner; Ruth Fong; Tegan Maharaj; Pang Wei Koh; et al. (CoRR, 2020)

Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences. - Remco Zwetsloot; Baobao Zhang; Noemi Dreksler; Lauren Kahn; Markus Anderljung; Allan Dafoe; Michael C. Horowitz (AIES, 2021)

Skilled and Mobile: Survey Evidence of Immigration Preferences of AI Researchers. - Remco Zwetsloot; Baobao Zhang; Noemi Dreksler; Lauren Kahn; Markus Anderljung; Allan Dafoe; Michael C. Horowitz (CoRR, 2021)

Institutionalising Ethics in AI through Broader Impact Requirements. - Carina E. A. Prunkl; Carolyn Ashurst; Markus Anderljung; Helena Webb; Jan Leike; Allan Dafoe (CoRR, 2021)

Filling gaps in trustworthy development of AI. - Shahar Avin; Haydn Belfield; Miles Brundage; Gretchen Krueger; Jasmine Wang; Adrian Weller; Markus Anderljung; Igor Krawczuk; David Krueger 001; Jonathan Lebensold; Tegan Maharaj; Noa Zilberman (CoRR, 2021)

Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers. - Baobao Zhang; Markus Anderljung; Lauren Kahn; Noemi Dreksler; Michael C. Horowitz; Allan Dafoe (J. Artif. Intell. Res., 2021)

Institutionalizing ethics in AI through broader impact requirements. - Carina E. A. Prunkl; Carolyn Ashurst; Markus Anderljung; Helena Webb; Jan Leike; Allan Dafoe (Nat. Mach. Intell., 2021)

Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract). - Baobao Zhang; Markus Anderljung; Lauren Kahn; Noemi Dreksler; Michael C. Horowitz; Allan Dafoe (IJCAI, 2022)

Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers. - Baobao Zhang; Noemi Dreksler; Markus Anderljung; Lauren Kahn; Charlie Giattino; Allan Dafoe; Michael C. Horowitz (CoRR, 2022)

The Brussels Effect and Artificial Intelligence: How EU regulation will impact the global AI market. - Charlotte Siegmann; Markus Anderljung (CoRR, 2022)

Protecting Society from AI Misuse: When are Restrictions on Capabilities Warranted? - Markus Anderljung; Julian Hazell (CoRR, 2023)

Towards best practices in AGI safety and governance: A survey of expert opinion. - Jonas Schuett; Noemi Dreksler; Markus Anderljung; David McCaffary; Lennart Heim; Emma Bluemke; Ben Garfinkel (CoRR, 2023)

Model evaluation for extreme risks. - Toby Shevlane; Sebastian Farquhar; Ben Garfinkel; Mary Phuong; Jess Whittlestone; Jade Leung; Daniel Kokotajlo; Nahema Marchal; Markus Anderljung; Noam Kolt; Lewis Ho; Divya Siddarth; et al. (CoRR, 2023)

Frontier AI Regulation: Managing Emerging Risks to Public Safety. - Markus Anderljung; Joslyn Barnhart; Anton Korinek; Jade Leung; Cullen O'Keefe; Jess Whittlestone; Shahar Avin; Miles Brundage; Justin Bullock; Duncan Cass-Beggs; Ben Chang; Tantum Collins; et al. (CoRR, 2023)

Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives. - Elizabeth Seger; Noemi Dreksler; Richard Moulange; Emily Dardaman; Jonas Schuett; Kevin Wei; Christoph Winter; Mackenzie Arnold; Seán Ó hÉigeartaigh; Anton Korinek; Markus Anderljung; Ben Bucknall; et al. (CoRR, 2023)

Towards Publicly Accountable Frontier LLMs: Building an External Scrutiny Ecosystem under the ASPIRE Framework. - Markus Anderljung; Everett Thornton Smith; Joe O'Brien; Lisa Soder; Benjamin Bucknall; Emma Bluemke; Jonas Schuett; Robert Trager; Lacey Strahm; Rumman Chowdhury (CoRR, 2023)

Responsible Reporting for Frontier AI Development. - Noam Kolt; Markus Anderljung; Joslyn Barnhart; Asher Brass; Kevin Esvelt; Gillian K. Hadfield; Lennart Heim; Mikel Rodriguez; Jonas B. Sandbrink; Thomas Woodside (AIES (1), 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)

Computing Power and the Governance of Artificial Intelligence. - Girish Sastry; Lennart Heim; Haydn Belfield; Markus Anderljung; Miles Brundage; Julian Hazell; Cullen O'Keefe; Gillian K. Hadfield; Richard Ngo; Konstantin Pilz; George Gor; Emma Bluemke; 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. (CoRR, 2024)

Societal Adaptation to Advanced AI. - Jamie Bernardi; Gabriel Mukobi; Hilary Greaves; Lennart Heim; Markus Anderljung (CoRR, 2024)

Beyond static AI evaluations: advancing human interaction evaluations for LLM harms and risks. - Lujain Ibrahim; Saffron Huang; Lama Ahmad; Markus Anderljung (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)

Risk thresholds for frontier AI. - Leonie Koessler; Jonas Schuett; Markus Anderljung (CoRR, 2024)

From Principles to Rules: A Regulatory Approach for Frontier AI. - Jonas Schuett; Markus Anderljung; Alexis Carlier; Leonie Koessler; Ben Garfinkel (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)

A Grading Rubric for AI Safety Frameworks. - Jide Alaga; Jonas Schuett; Markus Anderljung (CoRR, 2024)

Safety cases for frontier AI. - Marie Davidsen Buhl; Gaurav Sett; Leonie Koessler; Jonas Schuett; Markus Anderljung (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)

Infrastructure for AI Agents. - Alan Chan; Kevin Wei; Sihao Huang; Nitarshan Rajkumar; Elija Perrier; Seth Lazar; Gillian K. Hadfield; Markus Anderljung (Trans. Mach. Learn. Res., 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)

On Regulating Downstream AI Developers. - Sophie Williams; Jonas Schuett; Markus Anderljung (CoRR, 2025)

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI. - Shayne Longpre; Kevin Klyman; Ruth E. Appel; Sayash Kapoor; Rishi Bommasani; Michelle Sahar; Sean McGregor; Avijit Ghosh; Borhane Blili-Hamelin; Nathan Butters; Alondra Nelson; Amit Elazari; et al. (CoRR, 2025)

Protecting society from AI misuse: when are restrictions on capabilities warranted? - Markus Anderljung; Julian Hazell; Moritz von Knebel (AI Soc., 2025)

From Turing to Tomorrow: The UK's Approach to AI Regulation. - Oliver Ritchie; Markus Anderljung; Tom Rachman (CoRR, 2025)