| Automatic prediction of tumour malignancy in breast cancer with fractal dimension A Chan, JA Tuszynski Royal Society open science 3 (12), 160558, 2016 | 136 | 2016 |
| Harms from Increasingly Agentic Algorithmic Systems A Chan, R Salganik, A Markelius, C Pang, N Rajkumar, D Krasheninnikov, ... FAccT 2023, 2023 | 44 | 2023 |
| Foundational Challenges in Assuring Alignment and Safety of Large Language Models U Anwar, A Saparov, J Rando, D Paleka, M Turpin, P Hase, ES Lubana, ... arXiv preprint arXiv:2404.09932, 2024 | 34 | 2024 |
| Characterizing Manipulation from AI Systems M Carroll, A Chan, H Ashton, D Krueger EAAMO 2023, 2023 | 33 | 2023 |
| Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning K De Asis, A Chan, S Pitis, RS Sutton, D Graves AAAI Conference on Artificial Intelligence, 2020 | 31 | 2020 |
| Greedification operators for policy optimization: Investigating forward and reverse kl divergences A Chan, H Silva, S Lim, T Kozuno, AR Mahmood, M White The Journal of Machine Learning Research 23 (1), 11474-11552, 2022 | 25 | 2022 |
| The limits of global inclusion in AI development A Chan, CT Okolo, Z Terner, A Wang arXiv preprint arXiv:2102.01265, 2021 | 25 | 2021 |
| Black-box access is insufficient for rigorous AI audits S Casper, C Ezell, C Siegmann, N Kolt, TL Curtis, B Bucknall, A Haupt, ... The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2254-2272, 2024 | 19 | 2024 |
| Reclaiming the Digital Commons: A Public Data Trust for Training Data A Chan, H Bradley, N Rajkumar AIES 2023, 2023 | 16 | 2023 |
| Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives E Seger, N Dreksler, R Moulange, E Dardaman, J Schuett, K Wei, ... arXiv preprint arXiv:2311.09227, 2023 | 15 | 2023 |
| Welfare Diplomacy: Benchmarking Language Model Cooperation G Mukobi, H Erlebach, N Lauffer, L Hammond, A Chan, J Clifton arXiv preprint arXiv:2310.08901, 2023 | 12 | 2023 |
| Visibility into AI Agents A Chan, C Ezell, M Kaufmann, K Wei, L Hammond, H Bradley, E Bluemke, ... The 2024 ACM Conference on Fairness, Accountability, and Transparency, 958-973, 2024 | 6 | 2024 |
| Training recurrent neural networks online by learning explicit state variables S Nath, V Liu, A Chan, X Li, A White, M White International conference on learning representations, 2020 | 6 | 2020 |
| Towards the Scalable Evaluation of Cooperativeness in Language Models A Chan, M Riché, J Clifton arXiv preprint arXiv:2303.13360, 2023 | 5 | 2023 |
| An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI R Gruetzemacher, A Chan, K Frazier, C Manning, Š Los, J Fox, ... arXiv preprint arXiv:2310.14455, 2023 | 4 | 2023 |
| Scoring Rules for Performative Binary Prediction A Chan arXiv preprint arXiv:2207.02847, 2021 | 3 | 2021 |
| Parameter-free Gradient Temporal Difference Learning A Jacobsen, A Chan arXiv preprint arXiv:2105.04129, 2021 | 1 | 2021 |
| Inverse Policy Evaluation for Value-based Sequential Decision-making A Chan, K De Asis, RS Sutton arXiv preprint arXiv:2008.11329, 2020 | 1 | 2020 |
| Open Problems in Technical AI Governance A Reuel, B Bucknall, S Casper, T Fist, L Soder, O Aarne, L Hammond, ... arXiv preprint arXiv:2407.14981, 2024 | | 2024 |
| IDs for AI Systems A Chan, N Kolt, P Wills, U Anwar, CS de Witt, N Rajkumar, L Hammond, ... arXiv preprint arXiv:2406.12137, 2024 | | 2024 |
David Scott KruegerUniversity Assistant Professor, University of CambridgeVerified email at cam.ac.uk
