| Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR S Wachter, B Mittelstadt, C Russell Harvard Journal of Law & Technology 31 (2), 2018 | 3451 | 2018 |
| The ethics of algorithms: Mapping the debate BD Mittelstadt, P Allo, M Taddeo, S Wachter, L Floridi Big Data & Society 3 (2), 2053951716679679, 2016 | 2978 | 2016 |
| Why a right to explanation of automated decision-making does not exist in the general data protection regulation S Wachter, B Mittelstadt, L Floridi International data privacy law 7 (2), 76-99, 2017 | 1516 | 2017 |
| Artificial intelligence and the ‘good society’: the US, EU, and UK approach C Cath, S Wachter, B Mittelstadt, M Taddeo, L Floridi Science and engineering ethics 24, 505-528, 2018 | 1026 | 2018 |
| Explaining explanations in AI B Mittelstadt, C Russell, S Wachter Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 959 | 2019 |
| A Right to Reasonable Inferences: Re-thinking Data Protection Law in the Age of Big Data and AI S Wachter, B Mittelstadt Columbia Business Law Review, Vol 2019 No 2, https://journals.library …, 2018 | 916 | 2018 |
| Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI S Wachter, B Mittelstadt, C Russell Computer Law & Security Review 41, 105567, 2021 | 446 | 2021 |
| Transparent, explainable, and accountable AI for robotics S Wachter, B Mittelstadt, L Floridi Science Robotics 2 (6), 2017 | 371 | 2017 |
| Normative Challenges of Identification in the Internet of Things: Privacy, Profiling, Discrimination, and the GDPR S Wachter Computer Law & Security Review 34 (3), 436-449, 2017 | 351 | 2017 |
| Science in the age of large language models A Birhane, A Kasirzadeh, D Leslie, S Wachter Nature Reviews Physics 5 (5), 277-280, 2023 | 266 | 2023 |
| Affinity Profiling and Discrimination by Association in Online Behavioural Advertising S Wachter Berkeley Technology Law Journal, Vol. 35, No. 2, 2021, https://btlj.org/data …, 2019 | 248 | 2019 |
| Bias preservation in machine learning: the legality of fairness metrics under EU non-discrimination law S Wachter, B Mittelstadt, C Russell W. Va. L. Rev. 123, 735, 2021 | 234 | 2021 |
| Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk J Laux, S Wachter, B Mittelstadt Regulation & Governance 18 (1), 3-32, 2024 | 207 | 2024 |
| Operationalizing human-centered perspectives in explainable AI U Ehsan, P Wintersberger, QV Liao, M Mara, M Streit, S Wachter, ... Extended abstracts of the 2021 CHI conference on human factors in computing …, 2021 | 142 | 2021 |
| The GDPR and the Internet of Things: a three-step transparency model S Wachter Law, Innovation and Technology 10 (2), 266-294, 2018 | 98 | 2018 |
| Data protection in the age of big data S Wachter Nature Electronics, https://papers.ssrn.com/sol3/papers.cfm?abstract_id …, 2019 | 94 | 2019 |
| The Theory of Artificial Immutability: Protecting Algorithmic Groups Under Anti-Discrimination Law S Wachter Tulane Law Review, Forthcoming, 2022 | 70 | 2022 |
| Ethics of connected and automated vehicles: Recommendations on road safety, privacy, fairness, explainability and responsibility JF Bonnefon, D Černy, J Danaher, N Devillier, V Johansson, ... European Commission, 2020 | 62 | 2020 |
| Three pathways for standardisation and ethical disclosure by default under the European Union Artificial Intelligence Act J Laux, S Wachter, B Mittelstadt Computer Law & Security Review 53, 105957, 2024 | 60 | 2024 |
| Taming the few: Platform regulation, independent audits, and the risks of capture created by the DMA and DSA J Laux, S Wachter, B Mittelstadt Computer law & Security review 43, 105613, 2021 | 56 | 2021 |
Brent MittelstadtProfessor of Data Ethics and Policy, University of OxfordEmail được xác minh tại oii.ox.ac.uk