1.8k citations · 2.7k across the 6 of their papers we have counts for
9 papers
Guardrails versus Gatekeepers: Understanding Product Managers' Ethical Decision-Making in Generative AI
Genevieve Smith, Natalia Luka, Merrick Osborne +4
What is the role of product managers in the responsible use of generative AI (genAI) in products and everyday work -- and what enables or constrains their ability to take action? P…
Legitimate Power, Illegitimate Automation: The problem of ignoring legitimacy in automated decision systems
Jake Stone, Brent Mittelstadt
Progress in machine learning and artificial intelligence has spurred the widespread adoption of automated decision systems (ADS). An extensive literature explores what conditions m…
The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices
Will Hawkins, Brent Mittelstadt
The technical progression of artificial intelligence (AI) research has been built on breakthroughs in fields such as computer science, statistics, and mathematics. However, in the…
The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default
Brent Mittelstadt, Sandra Wachter, Chris Russell
In recent years fairness in machine learning (ML) has emerged as a highly active area of research and development. Most define fairness in simple terms, where fairness means reduci…
The Impact of Explanations on Layperson Trust in Artificial Intelligence-Driven Symptom Checker Apps: Experimental Study
Claire Woodcock, Brent Mittelstadt, Dan Busbridge +1
To achieve the promoted benefits of an AI symptom checker, laypeople must trust and subsequently follow its instructions. In AI, explanations are seen as a tool to communicate the…
Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI
Sandra Wachter, Brent Mittelstadt, Chris Russell
This article identifies a critical incompatibility between European notions of discrimination and existing statistical measures of fairness. First, we review the evidential require…
Principles alone cannot guarantee ethical AI
Brent Mittelstadt
AI Ethics is now a global topic of discussion in academic and policy circles. At least 84 public-private initiatives have produced statements describing high-level principles, valu…
Explaining Explanations in AI
Brent Mittelstadt, Chris Russell, Sandra Wachter
Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models…
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter, Brent Mittelstadt, Chris Russell
There has been much discussion of the right to explanation in the EU General Data Protection Regulation, and its existence, merits, and disadvantages. Implementing a right to expla…