| 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 | 3281 | 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 | 2772 | 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 | 1348 | 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 | 960 | 2018 |
| Explaining explanations in AI B Mittelstadt, C Russell, S Wachter Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 900 | 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 | 858 | 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 | 403 | 2021 |
| 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 | 347 | 2017 |
| Transparent, explainable, and accountable AI for robotics S Wachter, B Mittelstadt, L Floridi Science Robotics 2 (6), 2017 | 347 | 2017 |
| 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 | 231* | 2019 |
| Science in the age of large language models A Birhane, A Kasirzadeh, D Leslie, S Wachter Nature Reviews Physics 5 (5), 277-280, 2023 | 221 | 2023 |
| 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 | 211 | 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 | 164 | 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 | 136 | 2021 |
| Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation’(2017) S Wachter, B Mittelstadt, L Floridi International Data Privacy Law 7, 76, 0 | 124 | |
| The GDPR and the Internet of Things: a three-step transparency model S Wachter Law, Innovation and Technology 10 (2), 266-294, 2018 | 89 | 2018 |
| Data protection in the age of big data S Wachter Nature Electronics, https://papers.ssrn.com/sol3/papers.cfm?abstract_id …, 2019 | 85 | 2019 |
| 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 | 57 | 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 | 52 | 2024 |
| The Theory of Artificial Immutability: Protecting Algorithmic Groups Under Anti-Discrimination Law S Wachter Tulane Law Review, Forthcoming, 2022 | 50 | 2022 |
Brent MittelstadtProfessor of Data Ethics and Policy, University of OxfordVerified email at oii.ox.ac.uk
