Francis Rhys Ward

According to our database, Francis Rhys Ward authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

AI Sandbagging: Language Models can Strategically Underperform on Evaluations.

Teun van der Weij, Felix Hofstätter, Ollie Jaffe, Samuel F. Brown, Francis Rhys Ward

CoRR, 2024

Evaluating Language Model Character Traits.

Francis Rhys Ward, Zejia Yang, Alex Jackson, Randy Brown, Chandler Smith, Grace Colverd, Louis Thomson, Raymond Douglas, Patrik Bartak, Andrew Rowan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

The Reasons that Agents Act: Intention and Instrumental Goals.

Francis Rhys Ward, Matt MacDermott, Francesco Belardinelli, Francesca Toni, Tom Everitt

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Honesty Is the Best Policy: Defining and Mitigating AI Deception.

Francis Rhys Ward, Francesco Belardinelli, Francesca Toni, Tom Everitt

CoRR, 2023

Experiments with Detecting and Mitigating AI Deception.

Ismail Sahbane, Francis Rhys Ward, C. Henrik Åslund

CoRR, 2023

Defining Deception in Structural Causal Games.

Francis Rhys Ward, Francesca Toni, Francesco Belardinelli

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Argumentative Reward Learning: Reasoning About Human Preferences.

Francis Rhys Ward, Francesco Belardinelli, Francesca Toni

CoRR, 2022

A Causal Perspective on AI Deception in Games.

Francis Rhys Ward, Francesca Toni, Francesco Belardinelli

Proceedings of the International Conference on Logic Programming 2022 Workshops co-located with the 38th International Conference on Logic Programming (ICLP 2022), Haifa, Israel, July 31st, 2022

On Agent Incentives to Manipulate Human Feedback in Multi-Agent Reward Learning Scenarios.

Francis Rhys Ward, Francesca Toni, Francesco Belardinelli

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020

An Assurance Case Pattern for the Interpretability of Machine Learning in Safety-Critical Systems.

Francis Rhys Ward, Ibrahim Habli

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops, 2020