Does AI De-Bias Recruitment?: Race, Gender, and AI's 'Eradication of Differences Between Groups'. - Eleanor Drage; Kerry Mackereth (AIES, 2022)

Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges. - Parameswaran Kamalaruban; Yulu Pi; Stuart Burrell; Eleanor Drage; Piotr Skalski; Jason Wong; David Sutton (ICAIF, 2024)

Tech workers' perspectives on ethical issues in AI development: Foregrounding feminist approaches. - Jude Browne; Eleanor Drage; Kerry McInerney (Big Data Soc., 2024)

Engineers on responsibility: feminist approaches to who's responsible for ethical AI. - Eleanor Drage; Kerry McInerney; Jude Browne (Ethics Inf. Technol., 2024)

A Toolkit for Compliance, a Toolkit for Justice: Drawing on Cross-sectoral Expertise to Develop a Pro-justice EU AI Act Toolkit. - Tomasz Hollanek; Yulu Pi; Cosimo Fiorini; Virginia Vignali; Dorian Peters; Eleanor Drage (FAccT, 2025)

The EU AI Act in Development Practice: A Pro-justice Approach. - Tomasz Hollanek; Yulu Pi; Dorian Peters; Selen Yakar; Eleanor Drage (CoRR, 2025)

Curiosity killed the cat? From a masculinized 'frontier mindset' to ethical curiosity in AI engineering. - Eleanor Drage (AI Soc., 2025)