| 2022 roadmap on neuromorphic computing and engineering DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, ... Neuromorphic Computing and Engineering 2 (2), 022501, 2022 | 455 | 2022 |
| To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems J Amann, D Vetter, SN Blomberg, HC Christensen, M Coffee, S Gerke, ... PLOS Digital Health 1 (2), e0000016, 2022 | 108 | 2022 |
| Cutting edges and weaving threads in the gene editing (Я) evolution: reconciling scientific progress with legal, ethical, and social concerns A Nordberg, T Minssen, S Holm, M Horst, K Mortensen, BL Møller Journal of Law and the Biosciences 5 (1), 35-83, 2018 | 62 | 2018 |
| Co-design of a trustworthy AI system in healthcare: deep learning based skin lesion classifier RV Zicari, S Ahmed, J Amann, SA Braun, J Brodersen, F Bruneault, ... Frontiers in Human Dynamics 3, 688152, 2021 | 52 | 2021 |
| Neuromorphic Comput DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, ... Eng 2, 022501, 2022 | 42 | 2022 |
| On assessing trustworthy AI in healthcare. Machine learning as a supportive tool to recognize cardiac arrest in emergency calls RV Zicari, J Brusseau, SN Blomberg, HC Christensen, M Coffee, ... Frontiers in Human Dynamics 3, 673104, 2021 | 39 | 2021 |
| Biological interests, normative functions, and synthetic biology S Holm Philosophy & Technology 25, 525-541, 2012 | 26 | 2012 |
| The path toward equal performance in medical machine learning E Petersen, S Holm, M Ganz, A Feragen Patterns 4 (7), 2023 | 25 | 2023 |
| A right against risk-imposition and the problem of paralysis S Holm Ethical Theory and Moral Practice 19, 917-930, 2016 | 23 | 2016 |
| Assessing trustworthy AI in times of COVID-19: deep learning for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients H Allahabadi, J Amann, I Balot, A Beretta, C Binkley, J Bozenhard, ... IEEE Transactions on Technology and Society 3 (4), 272-289, 2022 | 22 | 2022 |
| Teleology and biocentrism S Holm Synthese 194 (4), 1075-1087, 2017 | 22 | 2017 |
| Organism, machine, artifact: The conceptual and normative challenges of synthetic biology S Holm, R Powell Studies in History and Philosophy of Science Part C: Studies in History and …, 2013 | 20 | 2013 |
| Multi-stakeholder perspectives on field crop robots: lessons from four case areas in Europe TW Tamirat, SM Pedersen, JE Ørum, SH Holm Smart Agricultural Technology 4, 100143, 2023 | 19 | 2023 |
| Assessing bias in medical ai M Ganz, SH Holm, A Feragen Workshop on Interpretable ML in Healthcare at International Connference on …, 2021 | 16 | 2021 |
| Is synthetic biology mechanical biology? S Holm History and philosophy of the life sciences 37, 413-429, 2015 | 16 | 2015 |
| Lessons learned from assessing trustworthy AI in practice D Vetter, J Amann, F Bruneault, M Coffee, B Düdder, A Gallucci, ... Digital Society 2 (3), 35, 2023 | 15 | 2023 |
| On (assessing) the fairness of risk score models E Petersen, M Ganz, S Holm, A Feragen Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 15 | 2023 |
| The fairness in algorithmic fairness S Holm Res Publica 29 (2), 265-281, 2023 | 14 | 2023 |
| Precaution, threshold risk and public deliberation S Holm Bioethics 33 (2), 254-260, 2019 | 14 | 2019 |
| Disease, dysfunction, and synthetic biology S Holm Journal of Medicine and Philosophy 39 (4), 329-345, 2014 | 14 | 2014 |
Maja HorstAarhus University在 au.dk 的电子邮件经过验证
