Tim Miller

Formalizing Trust in Artificial Intelligence

2021 · 443 Zit.

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review

2020 · 306 Zit. · Journal of the American Medical Informatics Association

Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences

2017 · 210 Zit. · arXiv (Cornell University)

Good Proctor or “Big Brother”? Ethics of Online Exam Supervision Technologies

2021 · 181 Zit. · Philosophy & Technology

Explainable AI is Dead, Long Live Explainable AI!

2023 · 129 Zit.

Conceptualising Contestability: Perspectives on Contesting Algorithmic Decisions

2021 · 74 Zit. · arXiv (Cornell University)

Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI

2020 · 66 Zit. · arXiv (Cornell University)

Special issue on Explainable Artificial Intelligence (XAI)

2022 · 23 Zit. · Artificial Intelligence

What’s the Appeal? Perceptions of Review Processes for Algorithmic Decisions

2022 · 22 Zit. · CHI Conference on Human Factors in Computing Systems

Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies

2020 · 9 Zit. · arXiv (Cornell University)

Explainable AI: definition and attributes of a good explanation for health AI

2025 · 4 Zit. · AI and Ethics

Directive Explanations for Actionable Explainability in Machine Learning Applications

2021 · 4 Zit. · arXiv (Cornell University)

Using conversant artificial intelligence to improve diagnostic reasoning: ready for prime time?

2024 · 4 Zit. · The Medical Journal of Australia

Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementation

2025 · 2 Zit. · The Medical Journal of Australia

Diametrically Opposed Attributes? Review Process Preferences and Priorities When Contesting Algorithmic Decisions

2025 · 0 Zit. · Proceedings of the ACM on Human-Computer Interaction