The ethics of biomedical ‘big data’ analytics by Mittelstadt, B

Near-term ethical challenges of digital twins by Mittelstadt, B

Auditing for transparency in content personalization systems by Mittelstadt, B

Protecting health privacy through reasonable inferences by Mittelstadt, B

Principles alone cannot guarantee ethical AI by Mittelstadt, B

Ethics of the health-related internet of things: a narrative review by Mittelstadt, B

Designing the health-related internet of things: Ethical principles and guidelines by Mittelstadt, B

From individual to group privacy in big data analytics by Mittelstadt, B

Interpretability and transparency in artificial intelligence by Mittelstadt, B

Basic slide rule operation : a program for self-instruction / by 443368 Mittelstadt, W. S.

Financial Crisis Management from the Perspective of National MPs: A Qualitative Assessment by MITTELSTÄDT, René M.

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A right to reasonable inferences: Re-thinking data protection law in the age of Big Data and AI by Wachter, S, Mittelstadt, B

The ethics of big data: current and foreseeable issues in biomedical contexts by Mittelstadt, B, Floridi, L

Legitimate power, illegitimate automation: the problem of ignoring legitimacy in automated decision systems by Stone, J, Mittelstadt, BD

Reflexivity and value-sensitive design by Timmersman, J, Mittelstadt, B

The Ethics of Biomedical Big Data by Mittelstadt, B, Floridi, L

The unfairness of fair machine learning: leveling down and strict egalitarianism by default by Mittelstadt, B, Wachter, S, Russell, C

Bias preservation in machine learning: the legality of fairness metrics under EU non-discrimination law by Wachter, S, Mittelstadt, B, Russell, C

To protect science we must use LLMs as zero-shot translators by Mittelstadt, B, Wachter, S, Russell, C

Trustworthy artificial intelligence and the European Union AI act: on the conflation of trustworthiness and acceptability of risk by Laux, J, Wachter, S, Mittelstadt, B