On the ethical implications of personal health monitoring. - Brent D. Mittelstadt 002 (2013)

The Ethical Implications of Personal Health Monitoring. - Brent D. Mittelstadt 002; N. Ben Fairweather; Mark Christopher Shaw; Neil McBride (Int. J. Technoethics, 2014)

The Ethics of Computing: A Survey of the Computing-Oriented Literature. - Bernd Carsten Stahl; Job Timmermans; Brent Daniel Mittelstadt (ACM Comput. Surv., 2016)

The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts. - Brent Daniel Mittelstadt; Luciano Floridi (Sci. Eng. Ethics, 2016)

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)

Ethics of the health-related internet of things: a narrative review. - Brent D. Mittelstadt 002 (Ethics Inf. Technol., 2017)

Designing the Health-related Internet of Things: Ethical Principles and Guidelines. - Brent D. Mittelstadt 002 (Inf., 2017)

Transparent, explainable, and accountable AI for robotics. - Brent D. Mittelstadt 002; Luciano Floridi (Sci. Robotics, 2017)

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)

AI Ethics - Too Principled to Fail? - Brent D. Mittelstadt 002 (CoRR, 2019)

Principles alone cannot guarantee ethical AI. - Brent D. Mittelstadt 002 (Nat. Mach. Intell., 2019)

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)

AI reflections in 2020. - Anna Jobin; Kingson Man; Antonio Damasio; Georgios Kaissis; Rickmer Braren; Julia Stoyanovich; Jay J. Van Bavel; Tessa V. West; Brent D. Mittelstadt 002; Jason Eshraghian; Marta R. Costa-jussà; Asaf Tzachor; et al. (Nat. Mach. Intell., 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 Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study. - Claire Woodcock; Brent D. Mittelstadt 002; Dan Busbridge; Grant Blank (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 ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices. - Will Hawkins; Brent D. Mittelstadt 002 (FAccT, 2023)

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)

Legitimate Power, Illegitimate Automation: The problem of ignoring legitimacy in automated decision systems. - Jake Stone; Brent D. Mittelstadt 002 (CoRR, 2024)

Resource-constrained Fairness. - Sofie Goethals; Eoin Delaney; Brent D. Mittelstadt 002; Chris Russell 001 (CoRR, 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)

The effect of fine-tuning on language model toxicity. - Will Hawkins; Brent D. Mittelstadt 002; Chris Russell 001 (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)

Deepfakes on Demand: The rise of accessible non-consensual deepfake image generators: The rise of accessible non-consensual deepfake image generators. - Will Hawkins; Brent D. Mittelstadt 002; Chris Russell 001 (FAccT, 2025)

Responsible Generative AI Use by Product Managers: Recoupling Ethical Principles and Practices. - Genevieve Smith; Natalia Luka; Merrick Osborne; Brian Lattimore; Jessica Newman; Brandie Nonnecke; Brent D. Mittelstadt 002 (CoRR, 2025)

Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators. - Will Hawkins; Chris Russell 001; Brent D. Mittelstadt 002 (CoRR, 2025)