Impossibility of deducing preferences and rationality from human policy. - Stuart Armstrong; Sören Mindermann (CoRR, 2017)

Occam's razor is insufficient to infer the preferences of irrational agents. - Stuart Armstrong; Sören Mindermann (NeurIPS, 2018)

Active Inverse Reward Design. - Sören Mindermann; Rohin Shah; Adam Gleave; Dylan Hadfield-Menell (CoRR, 2018)

Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models. - Andrew Jesson; Sören Mindermann; Uri Shalit; Yarin Gal (NeurIPS, 2020)

How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? - Mrinank Sharma; Sören Mindermann; Jan Markus Brauner; Gavin Leech; Anna B. Stephenson; Tomas Gavenciak; Jan Kulveit; Yee Whye Teh; Leonid Chindelevitch; Yarin Gal (NeurIPS, 2020)

On the robustness of effectiveness estimation of nonpharmaceutical interventions against COVID-19 transmission. - Mrinank Sharma; Sören Mindermann; Jan Markus Brauner; Gavin Leech; Anna B. Stephenson; Tomas Gavenciak; Jan Kulveit; Yee Whye Teh; Leonid Chindelevitch; Yarin Gal (CoRR, 2020)

Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding. - Andrew Jesson; Sören Mindermann; Yarin Gal; Uri Shalit (ICML, 2021)

Prioritized training on points that are learnable, worth learning, and not yet learned. - Sören Mindermann; Muhammed Razzak; Winnie Xu; Andreas Kirsch 002; Mrinank Sharma; Adrien Morisot; Aidan N. Gomez; Sebastian Farquhar; Jan Markus Brauner; Yarin Gal (CoRR, 2021)

Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt. - Sören Mindermann; Jan Markus Brauner; Muhammed Razzak; Mrinank Sharma; Andreas Kirsch 002; Winnie Xu; Benedikt Höltgen; Aidan N. Gomez; Adrien Morisot; Sebastian Farquhar; Yarin Gal (ICML, 2022)

Seasonal variation in SARS-CoV-2 transmission in temperate climates: A Bayesian modelling study in 143 European regions. - Tomas Gavenciak; Joshua Teperowski Monrad; Gavin Leech; Mrinank Sharma; Sören Mindermann; Samir Bhatt; Jan Markus Brauner; Jan Kulveit (PLoS Comput. Biol., 2022)

Specific versus General Principles for Constitutional AI. - Sandipan Kundu; Yuntao Bai; Saurav Kadavath; Amanda Askell; Andrew Callahan; Anna Chen; Anna Goldie; Avital Balwit; Azalia Mirhoseini; Brayden McLean; Catherine Olsson; Cassie Evraets; et al. (CoRR, 2023)

Managing AI Risks in an Era of Rapid Progress. - Yoshua Bengio; Geoffrey E. Hinton; Andrew Yao; Dawn Song; Pieter Abbeel; Yuval Noah Harari; Ya-Qin Zhang; Lan Xue; Shai Shalev-Shwartz; Gillian K. Hadfield; Jeff Clune; Tegan Maharaj; et al. (CoRR, 2023)

The Alignment Problem from a Deep Learning Perspective. - Richard Ngo; Lawrence Chan; Sören Mindermann (ICLR, 2024)

How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions. - Lorenzo Pacchiardi; Alex James Chan; Sören Mindermann; Ilan Moscovitz; Alexa Y. Pan; Yarin Gal; Owain Evans; Jan Markus Brauner (ICLR, 2024)

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. - Evan Hubinger; Carson Denison; Jesse Mu; Mike Lambert; Meg Tong; Monte MacDiarmid; Tamera Lanham; Daniel M. Ziegler; Tim Maxwell; Newton Cheng; Adam S. Jermyn; Amanda Askell; et al. (CoRR, 2024)

International Scientific Report on the Safety of Advanced AI (Interim Report). - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Danielle Goldfarb; Hoda Heidari; Leila Khalatbari; Shayne Longpre; Vasilios Mavroudis; et al. (CoRR, 2024)

Alignment faking in large language models. - Ryan Greenblatt; Carson Denison; Benjamin Wright; Fabien Roger; Monte MacDiarmid; Samuel Marks; Johannes Treutlein; Tim Belonax; Jack Chen; David Duvenaud; Akbir Khan; Julian Michael; et al. (CoRR, 2024)

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate? - Ben Bucknall; Saad Siddiqui; Lara Thurnherr; Conor McGurk; Ben Harack; Anka Reuel; Patricia Paskov; Casey Mahoney; Sören Mindermann; Scott Singer; Vinay Hiremath; Charbel-Raphaël Ségerie; et al. (FAccT, 2025)

Open Problems in Machine Unlearning for AI Safety. - Fazl Barez; Tingchen Fu; Ameya Prabhu; Stephen Casper; Amartya Sanyal; Adel Bibi; Aidan O'Gara; Robert Kirk; Ben Bucknall; Timothy Fist; Luke Ong; Philip Torr 001; et al. (CoRR, 2025)

International AI Safety Report. - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Philip Fox; Ben Garfinkel; Danielle Goldfarb; Hoda Heidari; Anson Ho; et al. (CoRR, 2025)

Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path? - Yoshua Bengio; Michael K. Cohen; Damiano Fornasiere; Joumana Ghosn; Pietro Greiner; Matt MacDermott; Sören Mindermann; Adam Oberman; Jesse Richardson; Oliver Richardson; Marc-Antoine Rondeau; Pierre-Luc St-Charles; et al. (CoRR, 2025)

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate? - Ben Bucknall; Saad Siddiqui; Lara Thurnherr; Conor McGurk; Ben Harack; Anka Reuel; Patricia Paskov; Casey Mahoney; Sören Mindermann; Scott Singer; Vinay Hiremath; Charbel-Raphaël Ségerie; et al. (CoRR, 2025)

Bare Minimum Mitigations for Autonomous AI Development. - Joshua Clymer; Isabella Duan; Chris Cundy; Yawen Duan; Fynn Heide; Chaochao Lu; Sören Mindermann; Conor McGurk; Xudong Pan; Saad Siddiqui; Jingren Wang; Min Yang; et al. (CoRR, 2025)

The Singapore Consensus on Global AI Safety Research Priorities. - Yoshua Bengio; Tegan Maharaj; Luke Ong; Stuart Russell 001; Dawn Song; Max Tegmark; Lan Xue; Ya-Qin Zhang; Stephen Casper; Wan Sie Lee; Sören Mindermann; Vanessa Wilfred; et al. (CoRR, 2025)

Agentic Misalignment: How LLMs Could Be Insider Threats. - Aengus Lynch; Benjamin Wright; Caleb Larson; Stuart J. Ritchie; Sören Mindermann; Evan Hubinger; Ethan Perez; Kevin K. Troy (CoRR, 2025)

International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications. - Yoshua Bengio; Stephen Clare; Carina Prunkl; Shalaleh Rismani; Maksym Andriushchenko; Ben Bucknall; Philip Fox; Tiancheng Hu; Cameron Jones; Sam Manning; Nestor Maslej; Vasilios Mavroudis; et al. (CoRR, 2025)