The AI of ethics
Williamson, Robert C. 2021. “The AI of Ethics”. In Machines We Trust: Perspectives on Dependable AI, 139-60. Boston: MIT Press.
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Scoring Rules and Calibration for Imprecise Probabilities
Fröhlich, Christian, and Robert C. Williamson. 2024. “Scoring Rules and Calibration for Imprecise Probabilities”. ArXiv.
Three Types of Calibration with Properties and theirSemantic and Formal Relationships
Derr, Rabanus, Jessie Finocchiaro, and Robert C. Williamson. 2025. “Three Types of Calibration With Properties and TheirSemantic and Formal Relationships”. ArXiv 2504.18395.
Insights From Insurance for Fair Machine Learning: Responsibility, Performativity and Aggregates
Fröhlich, Christian, and Robert C. Williamson. 2023. “Insights From Insurance for Fair Machine Learning: Responsibility, Performativity and Aggregates”. ArXiv.
Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret
Derr, Rabanus, and Robert C. Williamson. 2024. “Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret.”
Risk Measures and Upper Probabilities: Coherence and Stratification
Fröhlich, Christian, and Robert C Williamson. 2024. “Risk Measures and Upper Probabilities: Coherence and Stratification”. Journal of Machine Learning Research 25 (207): 1-100.
Decision making, symmetry and structure: Justifying causal interventions
Johnston, David O., Cheng Soon Ong, and Robert C. Williamson. 2025. “Decision Making, Symmetry and Structure: Justifying Causal Interventions”. Journal of Causal Inference 13.
The Rhetoric of Machine Learning
Williamson, Robert C. 2024. “The Rhetoric of Machine Learning”. In Persuasive Algorithms? A Symposium on the Rhetoric of Generative AI.