The need for a system view to regulate artificial intelligence/machine learning-based software as medical device S Gerke, B Babic, T Evgeniou, IG Cohen Nature Digital Medicine 3 (1), 1-4, 2020 | 154 | 2020 |
Beware explanations from AI in health care B Babic, S Gerke, T Evgeniou, IG Cohen Science 373 (6552), 284-286, 2021 | 133 | 2021 |
Algorithms on regulatory lockdown in medicine B Babic, S Gerke, T Evgeniou, IG Cohen Science 366 (6470), 1202-1204, 2019 | 73 | 2019 |
A Better Way to Onboard AI B Babic, DL Chen, T Evgeniou, AL Fayard Harvard Business Review 98 (4), 56-65, 2020 | 47 | 2020 |
Direct-to-consumer medical machine learning and artificial intelligence applications B Babic, S Gerke, T Evgeniou, IG Cohen Nature Machine Intelligence 3 (4), 283-287, 2021 | 33 | 2021 |
A theory of epistemic risk B Babic Philosophy of Science 86 (3), 522-550, 2019 | 27 | 2019 |
When machine learning goes off the rails B Babic, IG Cohen, T Evgeniou, S Gerke Harv. Bus. Rev, 21-32, 2021 | 26 | 2021 |
Moral obligation and epistemic risk ZJ King, B Babic | 17 | 2020 |
Can AI fairly decide who gets an organ transplant B Babic, IG Cohen, T Evgeniou, S Gerke, N Trichakis Harvard Business Review, 2020 | 10 | 2020 |
Normativity, Epistemic Rationality, and Noisy Statistical Evidence B Babic, A Gaba, I Tsetlin, R Winkler The British Journal for the Philosophy of Science, 2021 | 5 | 2021 |
How AI can learn from the law: putting humans in the loop only on appeal IG Cohen, B Babic, S Gerke, Q Xia, T Evgeniou, K Wertenbroch npj Digital Medicine 6 (1), 160, 2023 | 4 | 2023 |
Moral Encroachment under Moral Uncertainty B Babic, ZJ King Philosophers' Imprint 23, 2023 | 2 | 2023 |
The Algorithmic Explainability'Bait and Switch' B Babic, IG Cohen Minnesota Law Review 108, 2023 | 1 | 2023 |
Approximate coherentism and luck B Babic Philosophy of Science 88 (4), 707-725, 2021 | 1 | 2021 |
Algorithmic fairness and resentment B Babic, Z Johnson King Philosophical Studies, 1-33, 2023 | | 2023 |