Wachter, Sandra
University of Oxford
17 papers on CoChatORCID 0000-0003-3800-0113
Most cited papers
- Verified
The ethics of algorithms: Mapping the debate
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016) · Big Data & Society
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 4,567
- Verified
Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
Wachter, S., Mittelstadt, B., & Floridi, L. (2017) · International Data Privacy Law
Digitalization, Law, and RegulationEthics and Social Impacts of AI
Cited by 1,308
- Verified
Counterfactual explanations without opening the black box: automated decisions and the GDPR
Wachter, S., Mittelstadt, B., & Russell, C. (2017) · SSRN Electronic Journal
Explainable Artificial Intelligence (XAI)Digitalization, Law, and Regulation
Cited by 1,061
- Verified
Explaining Explanations in AI
Mittelstadt, B., Russell, C., & Wachter, S. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency
Explainable Artificial Intelligence (XAI)Philosophy of Biology and Scientific Explanation
Cited by 794
- Verified
Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach
Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2017) · Science and Engineering Ethics
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 733
- Verified
A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI
Wachter, S., & Mittelstadt, B. (2018)
Digitalization, Law, and RegulationEthics and Social Impacts of AI
Cited by 463
- Verified
Transparent, explainable, and accountable AI for robotics
Wachter, S., Mittelstadt, B., & Floridi, L. (2017) · Science Robotics
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 413
- Verified
Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk
Laux, J., Wachter, S., & Mittelstadt, B. (2024) · Regulation & Governance
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 365
- Verified
Science in the age of large language models
Birhane, A., Kasirzadeh, A., Leslie, D., & Wachter, S. (2023) · Nature Reviews Physics
Ethics and Social Impacts of AIAcademic integrity and plagiarism
Cited by 344
- Verified
Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI
Wachter, S., Mittelstadt, B., & Russell, C. (2021) · Computer Law & Security Review
Ethics and Social Impacts of AIDiscrimination and Equality Law
Cited by 336
- Verified
Normative challenges of identification in the Internet of Things: Privacy, profiling, discrimination, and the GDPR
Wachter, S. (2018) · Computer Law & Security Review
Digitalization, Law, and RegulationPrivacy, Security, and Data Protection
Cited by 307
- Verified
Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU Non-Discrimination Law
Wachter, S., Mittelstadt, B., & Russell, C. (2021) · SSRN Electronic Journal
Ethics and Social Impacts of AIDiscrimination and Equality Law
Cited by 167
- Verified
Taming the few: Platform regulation, independent audits, and the risks of capture created by the DMA and DSA
Laux, J., Wachter, S., & Mittelstadt, B. (2021) · Computer Law & Security Review
Diverse Legal and Medical StudiesDigitalization, Law, and Regulation
Cited by 62
- Verified
How AI challenges the medical device regulation: patient safety, benefits, and intended uses
Onitiu, D., Wachter, S., & Mittelstadt, B. (2024) · Journal of Law and the Biosciences
Digitalization, Law, and RegulationHealthcare Regulation
Cited by 61
- Verified
To protect science, we must use LLMs as zero-shot translators
Mittelstadt, B., Wachter, S., & Russell, C. (2023) · Nature Human Behaviour
Ethics and Social Impacts of AITopic Modeling
Cited by 58
- Verified
The Theory of Artificial Immutability: Protecting Algorithmic Groups Under Anti-Discrimination Law
Wachter, S. (2022) · arXiv
Ethics and Social Impacts of AIDiscrimination and Equality Law
Cited by 53
- Verified
Epistemic fragmentation poses a threat to the governance of online targeting
Milano, S., Mittelstadt, B., Wachter, S., & Russell, C. (2021) · Nature Machine Intelligence
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 29
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