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Toby Shevlane
Toby Shevlane
Google DeepMind
Verified email at google.com
Title
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Cited by
Year
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
5032023
Model evaluation for extreme risks
T Shevlane, S Farquhar, B Garfinkel, M Phuong, J Whittlestone, J Leung, ...
arXiv preprint arXiv:2305.15324, 2023
94*2023
Structured access: an emerging paradigm for safe AI deployment
T Shevlane
arXiv preprint arXiv:2201.05159, 2022
462022
The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?
T Shevlane, A Dafoe
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 173-179, 2020
41*2020
Contact tracing apps can help stop coronavirus. But they can hurt privacy
T Shevlane, B Garfinkel, A Dafoe
The Washington Post, 2020
62020
Evaluating Frontier Models for Dangerous Capabilities
M Phuong, M Aitchison, E Catt, S Cogan, A Kaskasoli, V Krakovna, ...
arXiv preprint arXiv:2403.13793, 2024
3*2024
A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI
S El-Sayed, C Akbulut, A McCroskery, G Keeling, Z Kenton, Z Jalan, ...
arXiv preprint arXiv:2404.15058, 2024
22024
The Artefacts of Intelligence: Governing Scientists' Contribution to AI Proliferation
T Shevlane
University of Oxford, 2022
22022
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