| The global landscape of AI ethics guidelines A Jobin, M Ienca, E Vayena Nature machine intelligence 1 (9), 389-399, 2019 | 3743 | 2019 |
| AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations L Floridi, J Cowls, M Beltrametti, R Chatila, P Chazerand, V Dignum, ... Minds and machines 28, 689-707, 2018 | 2381 | 2018 |
| Explainability for artificial intelligence in healthcare: a multidisciplinary perspective J Amann, A Blasimme, E Vayena, D Frey, VI Madai, ... BMC medical informatics and decision making 20, 1-9, 2020 | 1058 | 2020 |
| Machine learning in medicine: addressing ethical challenges E Vayena, A Blasimme, IG Cohen PLoS medicine 15 (11), e1002689, 2018 | 612 | 2018 |
| On the responsible use of digital data to tackle the COVID-19 pandemic M Ienca, E Vayena Nature medicine 26 (4), 463-464, 2020 | 610 | 2020 |
| Ethics and governance of artificial intelligence for health: WHO guidance: executive summary World Health Organization World Health Organization, 2021 | 475 | 2021 |
| Current practices and controversies in assisted reproduction: report of a meeting on medical, ethical and social aspects of assisted reproduction, held at WHO Headquarters in … E Vayena, PJ Rowe, PD Griffin World Health Organization, 2002 | 455 | 2002 |
| Ethical challenges of big data in public health E Vayena, M Salathé, LC Madoff, JS Brownstein PLoS computational biology 11 (2), e1003904, 2015 | 361 | 2015 |
| Digital tools against COVID-19: taxonomy, ethical challenges, and navigation aid U Gasser, M Ienca, J Scheibner, J Sleigh, E Vayena The lancet digital health 2 (8), e425-e434, 2020 | 329 | 2020 |
| Digital health: meeting the ethical and policy challenges E Vayena, T Haeusermann, A Adjekum, A Blasimme Swiss medical weekly 148, w14571, 2018 | 197 | 2018 |
| Considerations for ethics review of big data health research: A scoping review M Ienca, A Ferretti, S Hurst, M Puhan, C Lovis, E Vayena PloS one 13 (10), e0204937, 2018 | 193 | 2018 |
| Use of modern contraception by the poor is falling behind V Gakidou PLoS Med 4 (2), e31, 2007 | 184 | 2007 |
| Shaping parents: impact of contrasting professional counseling on parents' decision making for children with disorders of sex development JC Streuli, E Vayena, Y Cavicchia‐Balmer, J Huber The journal of sexual medicine 10 (8), 1953-1960, 2013 | 146 | 2013 |
| Elements of trust in digital health systems: scoping review A Adjekum, A Blasimme, E Vayena Journal of medical Internet research 20 (12), e11254, 2018 | 145 | 2018 |
| Biomedical big data: new models of control over access, use and governance E Vayena, A Blasimme Journal of bioethical inquiry 14, 501-513, 2017 | 135 | 2017 |
| Policy implications of big data in the health sector E Vayena, J Dzenowagis, JS Brownstein, A Sheikh Bulletin of the World Health Organization 96 (1), 66, 2018 | 134 | 2018 |
| Adapting standards: ethical oversight of participant-led health research E Vayena, J Tasioulas PLoS medicine 10 (3), e1001402, 2013 | 127 | 2013 |
| Health research with big data: time for systemic oversight E Vayena, A Blasimme The journal of law, medicine & ethics 46 (1), 119-129, 2018 | 121 | 2018 |
| Early evidence of effectiveness of digital contact tracing for SARS-CoV-2 in Switzerland M Salathé, CL Althaus, N Anderegg, D Antonioli, T Ballauz, B Edouard, ... medRxiv, 2020.09. 07.20189274, 2020 | 116 | 2020 |
| The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1 (9), 389–399 A Jobin, M Ienca, E Vayena Online: https://doi. org/10 1038, 2019 | 106 | 2019 |
Alessandro BlasimmeETH ZurichVerified email at hest.ethz.ch
