| The role and limits of principles in AI ethics: Towards a focus on tensions J Whittlestone, R Nyrup, A Alexandrova, S Cave Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 195-200, 2019 | 341 | 2019 |
| Ethical and societal implications of algorithms, data, and artificial intelligence: a roadmap for research J Whittlestone, R Nyrup, A Alexandrova, K Dihal, S Cave London: Nuffield Foundation, 1-59, 2019 | 292 | 2019 |
| The transformative potential of artificial intelligence R Gruetzemacher, J Whittlestone Futures 135, 102884, 2022 | 166 | 2022 |
| Model evaluation for extreme risks T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ... arXiv preprint arXiv:2305.15324, 2023 | 162 | 2023 |
| Overcoming barriers to cross-cultural cooperation in AI ethics and governance SS ÓhÉigeartaigh, J Whittlestone, Y Liu, Y Zeng, Z Liu Philosophy & technology 33, 571-593, 2020 | 142 | 2020 |
| Frontier AI regulation: Managing emerging risks to public safety M Anderljung, J Barnhart, A Korinek, J Leung, C O'Keefe, J Whittlestone, ... arXiv preprint arXiv:2307.03718, 2023 | 127 | 2023 |
| Artificial intelligence in a crisis needs ethics with urgency A Tzachor, J Whittlestone, L Sundaram, SO Heigeartaigh Nature Machine Intelligence 2 (7), 365-366, 2020 | 60 | 2020 |
| The societal implications of deep reinforcement learning J Whittlestone, K Arulkumaran, M Crosby Journal of Artificial Intelligence Research 70, 1003–1030-1003–1030, 2021 | 54 | 2021 |
| Beyond near-and long-term: Towards a clearer account of research priorities in AI ethics and society C Prunkl, J Whittlestone Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 138-143, 2020 | 43 | 2020 |
| Why and how governments should monitor AI development J Whittlestone, J Clark arXiv preprint arXiv:2108.12427, 2021 | 31 | 2021 |
| Reducing malicious use of synthetic media research: Considerations and potential release practices for machine learning A Ovadya, J Whittlestone arXiv preprint arXiv:1907.11274, 2019 | 31 | 2019 |
| AI challenges for society and ethics J Whittlestone, S Clarke The Oxford Handbook of AI Governance, 2022 | 30 | 2022 |
| A survey of the potential long-term impacts of AI: how AI could lead to long-term changes in science, cooperation, power, epistemics and values S Clarke, J Whittlestone Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 192-202, 2022 | 29 | 2022 |
| Using AI ethically to tackle covid-19 S Cave, J Whittlestone, R Nyrup, RA Calvo bmj 372, 2021 | 27 | 2021 |
| Privacy, autonomy, and personalised targeting: Rethinking how personal data is used K Vold, J Whittlestone | 27 | 2019 |
| Defining and unpacking transformative AI R Gruetzemacher, J Whittlestone arXiv preprint arXiv:1912.00747 1133, 2019 | 26 | 2019 |
| Ethical and Societal Implications of Algorithms J Whittlestone, R Nyrup, A Alexandrova, K Dihal, S Cave Data, and Artificial Intelligence: A Roadmap for Research, 2019 | 25 | 2019 |
| 17. Artificial Canaries: Early Warning Signs for Anticipatory and Democratic Governance of AI CZ Cremer, J Whittlestone AN ANTHOLOGY OF GLOBAL RISK, 485, 2024 | 19 | 2024 |
| Model evaluation for extreme risks, 2023 T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ... URL https://arxiv. org/abs/2305.15324, 0 | 16 | |
| O hEigeartaigh S, Calvo RA. Using AI ethically to tackle covid-19 S Cave, J Whittlestone, R Nyrup BMJ 372, n364, 2021 | 12 | 2021 |
