The ethics of algorithms: Mapping the debate. - Brent Daniel Mittelstadt; Patrick Allo; Mariarosaria Taddeo; Sandra Wachter; Luciano Floridi (Big Data Soc., 2016)

Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR. - Sandra Wachter; Brent D. Mittelstadt 002; Chris Russell 001 (CoRR, 2017)

Normative challenges of identification in the Internet of Things: Privacy, profiling, discrimination, and the GDPR. - Sandra Wachter (Comput. Law Secur. Rev., 2018)

Artificial Intelligence and the 'Good Society': the US, EU, and UK approach. - Corinne Cath; Sandra Wachter; Brent D. Mittelstadt 002; Mariarosaria Taddeo; Luciano Floridi (Sci. Eng. Ethics, 2018)

Explaining Explanations in AI. - Brent D. Mittelstadt 002; Chris Russell 001; Sandra Wachter (FAT, 2019)

Operationalizing Human-Centered Perspectives in Explainable AI. - Upol Ehsan; Philipp Wintersberger; Q. Vera Liao; Martina Mara; Marc Streit; Sandra Wachter; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2021)

Taming the few: Platform regulation, independent audits, and the risks of capture created by the DMA and DSA. - Johann Laux; Sandra Wachter; Brent D. Mittelstadt 002 (Comput. Law Secur. Rev., 2021)

Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI. - Sandra Wachter; Brent D. Mittelstadt 002; Chris Russell 001 (Comput. Law Secur. Rev., 2021)

Epistemic fragmentation poses a threat to the governance of online targeting. - Silvia Milano; Brent D. Mittelstadt 002; Sandra Wachter; Christopher Russell 001 (Nat. Mach. Intell., 2021)

The Theory of Artificial Immutability: Protecting Algorithmic Groups Under Anti-Discrimination Law. - Sandra Wachter (CoRR, 2022)

The Concentration-after-Personalisation Index (CAPI): Governing effects of personalisation using the example of targeted online advertising. - Johann Laux; Fabian Stephany; Chris Russell 001; Sandra Wachter; Brent D. Mittelstadt 002 (Big Data Soc., 2022)

The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default. - Brent D. Mittelstadt 002; Sandra Wachter; Chris Russell 001 (CoRR, 2023)

OxonFair: A Flexible Toolkit for Algorithmic Fairness. - Eoin Delaney; Zihao Fu; Sandra Wachter; Brent D. Mittelstadt 002; Chris Russell 001 (NeurIPS, 2024)

Three pathways for standardisation and ethical disclosure by default under the European Union Artificial Intelligence Act. - Johann Laux; Sandra Wachter; Brent D. Mittelstadt 002 (Comput. Law Secur. Rev., 2024)

Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It. - Philipp Hacker; Brent D. Mittelstadt 002; Frederik J. Zuiderveen Borgesius; Sandra Wachter (CoRR, 2024)

Beyond ideals: why the (medical) AI industry needs to motivate behavioural change in line with fairness and transparency values, and how it can do it. - Alice Liefgreen; Netta Weinstein; Sandra Wachter; Brent D. Mittelstadt 002 (AI Soc., 2024)