Find the Gap: AI, Responsible Agency and Vulnerability.
Minds Mach., September, 2024
Trustworthiness and Responsibility in AI - Causality, Learning, and Verification (Dagstuhl Seminar 24121).
Dagstuhl Reports, 2024
Technical Perspective: The Impact of Auditing for Algorithmic Bias.
Commun. ACM, 2023
Responsible Agency Through Answerability: Cultivating the Moral Ecology of Trustworthy Autonomous Systems.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report.
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CoRR, 2022
The AI Mirror: Reclaiming our Humanity in an Age of Machine Thinking.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
Artificial Moral Advisors: A New Perspective from Moral Psychology.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
The digital basanos: AI and the virtue of and violence of truth-telling.
Proceedings of the IEEE International Symposium on Technology and Society, 2021
Flourishing Isn't Free: Paying Down Our Moral and Social Debt in Robotic Systems.
Proceedings of the Culturally Sustainable Social Robotics, 2020
Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
Why software engineering courses should include ethics coverage.
Commun. ACM, 2014
The future of military virtue: Autonomous systems and the moral deskilling of the military.
Proceedings of the 5th International Conference on Cyber Conflict, 2013