Andrea Ferrario

In AI We Trust Incrementally: a Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions

2019 · 207 Zit. · Philosophy & Technology

How Explainability Contributes to Trust in AI

2022 · 117 Zit. · 2022 ACM Conference on Fairness, Accountability, and Transparency

AI support for ethical decision-making around resuscitation: proceed with care

2021 · 55 Zit. · Journal of Medical Ethics

Trust does not need to be human: it is possible to trust medical AI

2020 · 52 Zit. · Journal of Medical Ethics

Ethics of the algorithmic prediction of goal of care preferences: from theory to practice

2022 · 45 Zit. · Journal of Medical Ethics

Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directions

2024 · 37 Zit. · AI & Society

Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts

2025 · 24 Zit. · Journal of Medical Internet Research

AI support for ethical decision-making around resuscitation: proceed with care

2020 · 14 Zit.

AI knows best? Avoiding the traps of paternalism and other pitfalls of AI-based patient preference prediction

2023 · 13 Zit. · Journal of Medical Ethics

Design publicity of black box algorithms: a support to the epistemic and ethical justifications of medical AI systems

2021 · 10 Zit. · Journal of Medical Ethics

Large language models in medical ethics: useful but not expert

2024 · 10 Zit. · Journal of Medical Ethics

In Search of a Mission: Artificial Intelligence in Clinical Ethics

2022 · 7 Zit. · The American Journal of Bioethics

How Explainability Contributes to Trust in AI

2022 · 6 Zit. · SSRN Electronic Journal

Creative Uses of AI Systems and their Explanations: A Case Study from Insurance

2022 · 1 Zit. · arXiv (Cornell University)

Twenty-Four Years of Empirical Research on Trust in AI: A Bibliometric Review of Trends, Overlooked Issues, and Future Directions

2023 · 1 Zit. · arXiv (Cornell University)