Brent D. Mittelstadt

According to our database, Brent D. Mittelstadt authored at least 31 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators.

Will Hawkins, Chris Russell, Brent D. Mittelstadt

CoRR, May, 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

CoRR, January, 2025

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, Chris Russell

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

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

AI Soc., October, 2024

The effect of fine-tuning on language model toxicity.

Will Hawkins, Brent D. Mittelstadt, Chris Russell

CoRR, 2024

Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It.

Philipp Hacker, Brent D. Mittelstadt, Frederik J. Zuiderveen Borgesius, Sandra Wachter

CoRR, 2024

Resource-constrained Fairness.

Sofie Goethals, Eoin Delaney, Brent D. Mittelstadt, Chris Russell

CoRR, 2024

Legitimate Power, Illegitimate Automation: The problem of ignoring legitimacy in automated decision systems.

Jake Stone, Brent D. Mittelstadt

CoRR, 2024

Three pathways for standardisation and ethical disclosure by default under the European Union Artificial Intelligence Act.

Johann Laux, Sandra Wachter, Brent D. Mittelstadt

Comput. Law Secur. Rev., 2024

OxonFair: A Flexible Toolkit for Algorithmic Fairness.

Eoin Delaney, Zihao Fu, Sandra Wachter, Brent D. Mittelstadt, Chris Russell

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default.

Brent D. Mittelstadt, Sandra Wachter, Chris Russell

CoRR, 2023

The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices.

Will Hawkins, Brent D. Mittelstadt

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

The Concentration-after-Personalisation Index (CAPI): Governing effects of personalisation using the example of targeted online advertising.

Johann Laux, Fabian Stephany, Chris Russell, Sandra Wachter, Brent D. Mittelstadt

Big Data Soc., July, 2022

The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study.

Claire Woodcock, Brent D. Mittelstadt, Dan Busbridge, Grant Blank

CoRR, 2022

2021

Epistemic fragmentation poses a threat to the governance of online targeting.

Silvia Milano, Brent D. Mittelstadt, Sandra Wachter, Christopher Russell

Nat. Mach. Intell., 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, Jason Eshraghian, Marta R. Costa-jussà, Asaf Tzachor, Aimun A. B. Jamjoom, Mariarosaria Taddeo, Edoardo Sinibaldi, Yipeng Hu, Miguel A. Luengo-Oroz

Nat. Mach. Intell., 2021

Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI.

Sandra Wachter, Brent D. Mittelstadt, Chris Russell

Comput. Law Secur. Rev., 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

Comput. Law Secur. Rev., 2021

2019

Principles alone cannot guarantee ethical AI.

Brent D. Mittelstadt

Nat. Mach. Intell., 2019

AI Ethics - Too Principled to Fail?

Brent D. Mittelstadt

CoRR, 2019

Explaining Explanations in AI.

Brent D. Mittelstadt, Chris Russell, Sandra Wachter

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

Artificial Intelligence and the 'Good Society': the US, EU, and UK approach.

Corinne Cath, Sandra Wachter, Brent D. Mittelstadt, Mariarosaria Taddeo, Luciano Floridi

Sci. Eng. Ethics, 2018

2017

Transparent, explainable, and accountable AI for robotics.

Brent D. Mittelstadt, Luciano Floridi

Sci. Robotics, 2017

Designing the Health-related Internet of Things: Ethical Principles and Guidelines.

Brent D. Mittelstadt

Inf., 2017

Ethics of the health-related internet of things: a narrative review.

Brent D. Mittelstadt

Ethics Inf. Technol., 2017

Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR.

Sandra Wachter, Brent D. Mittelstadt, Chris Russell

CoRR, 2017

2016

The ethics of algorithms: Mapping the debate.

Brent Daniel Mittelstadt, Patrick Allo, Mariarosaria Taddeo, Sandra Wachter, Luciano Floridi

Big Data Soc., December, 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 Computing: A Survey of the Computing-Oriented Literature.

Bernd Carsten Stahl, Job Timmermans, Brent Daniel Mittelstadt

ACM Comput. Surv., 2016

2014

The Ethical Implications of Personal Health Monitoring.

Brent D. Mittelstadt, N. Ben Fairweather, Mark Christopher Shaw, Neil McBride

Int. J. Technoethics, 2014

2013

On the ethical implications of personal health monitoring.

Brent D. Mittelstadt

PhD thesis, 2013