Charlie Griffin

According to our database, Charlie Griffin authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

When can we trust untrusted monitoring? A safety case sketch across collusion strategies.

Nelson Gardner-Challis, Jonathan Bostock, Georgiy Kozhevnikov, Morgan Sinclaire, Joan Velja, Alessandro Abate, Charlie Griffin

CoRR, February, 2026

2025

Practical challenges of control monitoring in frontier AI deployments.

David Lindner, Charlie Griffin, Tomek Korbak, Roland S. Zimmermann, Geoffrey Irving, Sebastian Farquhar, Alan Cooney

CoRR, December, 2025

Async Control: Stress-testing Asynchronous Control Measures for LLM Agents.

Asa Cooper Stickland, Jan Michelfeit, Arathi Mani, Charlie Griffin, Ollie Matthews, Tomek Korbak, Rogan Inglis, Oliver Makins, Alan Cooney

CoRR, December, 2025

2024

Subversion Strategy Eval: Evaluating AI's stateless strategic capabilities against control protocols.

Alex Mallen, Charlie Griffin, Alessandro Abate, Buck Shlegeris

CoRR, 2024

Games for AI Control: Models of Safety Evaluations of AI Deployment Protocols.

Charlie Griffin, Louis Thomson, Buck Shlegeris, Alessandro Abate

CoRR, 2024

On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning.

Rohan Subramani, Marcus Williams, Max Heitmann, Halfdan Holm, Charlie Griffin, Joar Max Viktor Skalse

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Goodhart's Law in Reinforcement Learning.

Jacek Karwowski, Oliver Hayman, Xingjian Bai, Klaus Kiendlhofer, Charlie Griffin, Joar Max Viktor Skalse

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features.

Diogo Cruz, Edoardo Pona, Alex Holness-Tofts, Elias Schmied, Víctor Abia Alonso, Charlie Griffin, Bogdan-Ionut Cirstea

CoRR, 2023

2022

Lexicographic Multi-Objective Reinforcement Learning.

Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Privacy-preserving Object Detection.

Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki Markus Asano

CoRR, 2021