Jess Whittlestone
Jess Whittlestone
Senior Research Associate, Centre for the Study of Existential Risk, University of Cambridge
Verified email at - Homepage
Cited by
Cited by
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
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, 2019
Overcoming barriers to cross-cultural cooperation in AI ethics and governance
SS ÓhÉigeartaigh, J Whittlestone, Y Liu, Y Zeng, Z Liu
Philosophy & technology 33 (4), 571-593, 2020
Artificial intelligence in a crisis needs ethics with urgency
A Tzachor, J Whittlestone, L Sundaram
Nature Machine Intelligence 2 (7), 365-366, 2020
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
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
Defining and unpacking transformative AI
R Gruetzemacher, J Whittlestone
ArXiv191200747 [cs], 2019
Privacy, autonomy, and personalised targeting: Rethinking how personal data is used
K Vold, J Whittlestone
AI paradigms and AI safety: mapping artefacts and techniques to safety issues
J Hernández-Orallo, F Martínez-Plumed, S Avin, J Whittlestone
IOS Press, 2020
The importance of making assumptions: Why confirmation is not necessarily a bias
J Whittlestone
University of Warwick, 2017
The transformative potential of artificial intelligence
R Gruetzemacher, J Whittlestone
arXiv preprint arXiv:1912.00747, 2019
The Societal Implications of Deep Reinforcement Learning
J Whittlestone, K Arulkumaran, M Crosby
Journal of Artificial Intelligence Research 70, 1003–1030-1003–1030, 2021
The tension between openness and prudence in AI research
J Whittlestone, A Ovadya
arXiv preprint arXiv:1910.01170, 2019
Why Value Judgements Should Not Be Automated
R Nyrup, J Whittlestone, S Cave
Using AI ethically to tackle covid-19
S Cave, J Whittlestone, R Nyrup, RA Calvo
bmj 372, 2021
Artificial Canaries: Early Warning Signs for Anticipatory and Democratic Governance of AI
C Zoe Cremer, J Whittlestone
Universidad Internacional de La Rioja, 2021
Canaries in Technology Mines: Warning Signs of Transformative Progress in AI
CZ Cremer, J Whittlestone
The potential harms of online targeting
KV Vold, J Whittlestone, A Alexandrova
UK Centre for Data Ethics and Innovation, 2019
AI and Data-driven Targeting
KV Vold, J Whittlestone, A Bahanda, S Cave
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