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20172026
most citedExplaining Explanations in AI

770 citations · 857 across the 11 of their papers we have counts for

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Showing cs.CYShow all

5 papers · 1 filter

cs.CY2026

The Fallacy of Sustainable Generative AI: Limitations in EU Environmental Regulation of Data Centres and Paths Forward

Daria Onitiu, Sandra Wachter, Brent Mittelstadt

In the age of Artificial Intelligence (AI), Large Language Models, Generative AI and larger frontier AI models, data centres create a significant environmental burden on electricit…

cs.CY2026

AI-Mediated Communication Can Steer Collective Opinion

Stratis Tsirtsis, Kai Rawal, Chris Russell +2

Generative artificial intelligence (AI) is increasingly integrated into the online platforms where humans exchange opinions; large language models (LLMs) now polish users' posts on…

cs.CY2024

OxonFair: A Flexible Toolkit for Algorithmic Fairness

Eoin Delaney, Zihao Fu, Sandra Wachter +2

We present OxonFair, a new open source toolkit for enforcing fairness in binary classification. Compared to existing toolkits: (i) We support NLP and Computer Vision classification…

cs.CY2024★ 6 cited

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

Philipp Hacker

As generative Artificial Intelligence (genAI) technologies proliferate across sectors, they offer significant benefits but also risk exacerbating discrimination. This chapter explo…

cs.CY2022★ 11 cited

The Theory of Artificial Immutability: Protecting Algorithmic Groups Under Anti-Discrimination Law

Sandra Wachter

Artificial Intelligence (AI) is increasingly used to make important decisions about people. While issues of AI bias and proxy discrimination are well explored, less focus has been…