William Isaac

Orcid: 0000-0002-1297-5409

Affiliations:
  • DeepMind, London, UK


According to our database1, William Isaac authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
(Unfair) Norms in Fairness Research: A Meta-Analysis.
CoRR, 2024

Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data.
CoRR, 2024

The Ethics of Advanced AI Assistants.
CoRR, 2024

Holistic Safety and Responsibility Evaluations of Advanced AI Models.
CoRR, 2024

STAR: SocioTechnical Approach to Red Teaming Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Recourse for Reclamation: Chatting with Generative Language Models.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Sociotechnical Safety Evaluation of Generative AI Systems.
CoRR, 2023

Representation in AI Evaluations.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022
Improving alignment of dialogue agents via targeted human judgements.
CoRR, 2022

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Taxonomy of Risks posed by Language Models.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Power to the People? Opportunities and Challenges for Participatory AI.
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021
Scaling Language Models: Methods, Analysis & Insights from Training Gopher.
CoRR, 2021

Ethical and social risks of harm from Language Models.
CoRR, 2021

Statistical discrimination in learning agents.
CoRR, 2021

Modelling Cooperation in Network Games with Spatio-Temporal Complexity.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences.
CoRR, 2020

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence.
CoRR, 2020

Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context.
CoRR, 2020

Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics.
CoRR, 2020

2018
A Causal Bayesian Networks Viewpoint on Fairness.
Proceedings of the Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data, 2018


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