Turing Institute

The ethics of algorithms: Mapping the debate

Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo et al.

2016 · 2.716 Zit.

The ethics of AI in health care: A mapping review

Jessica Morley, Caio C. Vieira Machado, Christopher Burr et al.

2020 · 837 Zit.

Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach

Corinne Cath, Sandra Wachter, Brent Mittelstadt et al.

2017 · 662 Zit.

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo et al.

2024 · 527 Zit.

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

Sebastian J. Vollmer, Bilal A. Mateen, Gergő Bohner et al.

2020 · 464 Zit.

Transparent, explainable, and accountable AI for robotics

Sandra Wachter, Brent Mittelstadt, Luciano Floridi

2017 · 395 Zit.

How to Design AI for Social Good: Seven Essential Factors

Luciano Floridi, Josh Cowls, Thomas C. King et al.

2020 · 363 Zit.

Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency

Christine M. Cutillo, Karlie R. Sharma, Luca Foschini et al.

2020 · 312 Zit.

The ethics of algorithms: key problems and solutions

Andreas Tsamados, Nikita Aggarwal, Josh Cowls et al.

2021 · 312 Zit.

Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar

Li Yan, Matthew Sperrin, Darren M. Ashcroft et al.

2020 · 140 Zit.

Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation

Jakob Mökander, Maria Axente, Federico Casolari et al.

2021 · 123 Zit.

Considering Biased Data as Informative Artifacts in AI-Assisted Health Care

Kadija Ferryman, Maxine Mackintosh, Marzyeh Ghassemi

2023 · 101 Zit.

Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare

Rob Procter, Peter Tolmie, Mark Rouncefield

2022 · 55 Zit.

Clinical AI tools must convey predictive uncertainty for each individual patient

Christopher R. S. Banerji, Tapabrata Chakraborti, Chris Harbron et al.

2023 · 43 Zit.

Multi Scale Ethics—Why We Need  to Consider the Ethics of AI in Healthcare at Different Scales

Melanie Smallman

2022 · 35 Zit.