Brent D. Mittelstadt

Orcid: 0000-0002-4709-6404

Affiliations:
  • University of Oxford, Internet Institute, UK


According to our database1, Brent D. Mittelstadt authored at least 28 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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.
AI Soc., October, 2024

The effect of fine-tuning on language model toxicity.
CoRR, 2024

OxonFair: A Flexible Toolkit for Algorithmic Fairness.
CoRR, 2024

Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It.
CoRR, 2024

Resource-constrained Fairness.
CoRR, 2024

Legitimate Power, Illegitimate Automation: The problem of ignoring legitimacy in automated decision systems.
CoRR, 2024

Three pathways for standardisation and ethical disclosure by default under the European Union Artificial Intelligence Act.
Comput. Law Secur. Rev., 2024

2023
The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default.
CoRR, 2023

The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices.
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.
Big Data Soc., July, 2022

The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study.
CoRR, 2022

2021
Epistemic fragmentation poses a threat to the governance of online targeting.
Nat. Mach. Intell., 2021

AI reflections in 2020.
Nat. Mach. Intell., 2021

Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI.
Comput. Law Secur. Rev., 2021

Taming the few: Platform regulation, independent audits, and the risks of capture created by the DMA and DSA.
Comput. Law Secur. Rev., 2021

2019
Principles alone cannot guarantee ethical AI.
Nat. Mach. Intell., 2019

AI Ethics - Too Principled to Fail?
CoRR, 2019

Explaining Explanations in AI.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018
Artificial Intelligence and the 'Good Society': the US, EU, and UK approach.
Sci. Eng. Ethics, 2018

2017
Transparent, explainable, and accountable AI for robotics.
Sci. Robotics, 2017

Designing the Health-related Internet of Things: Ethical Principles and Guidelines.
Inf., 2017

Ethics of the health-related internet of things: a narrative review.
Ethics Inf. Technol., 2017

Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR.
CoRR, 2017

2016
The ethics of algorithms: Mapping the debate.
Big Data Soc., December, 2016

The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts.
Sci. Eng. Ethics, 2016

The Ethics of Computing: A Survey of the Computing-Oriented Literature.
ACM Comput. Surv., 2016

2014
The Ethical Implications of Personal Health Monitoring.
Int. J. Technoethics, 2014

2013
On the ethical implications of personal health monitoring.
PhD thesis, 2013


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