Eleanor Drage

Biographic Data

ID914215
NAMEEleanor Drage
GIVEN NAMESEleanor
FAMILY NAMEDrage
SIGNATUREDRAGE E
AFFILIATIONSUniversity of Cambridge
ORCID0000-0003-1696-4536
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS3
WORKS AS AUTHOR8
WORKS AS EDITOR1
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX1

  • Curiosity killed the cat? From a masculinized ‘frontier mindset’ to ethical curiosity in AI engineering

    Open AccessEleanor DrageARTICLEAI & Society2025

    Curiosity is having its moment in AI engineering. Governments and Big Tech alike frame the trait as a key characteristic of data scientists. This paper offers a qualitative analysis of the perspectives of AI engineers on the importance of curiosity in their profession. The results of this study—which took place at a technology multinational of over 250 k + employees—warn that unless curiosity is carefully defined, detached from masculinized inter…

  • AI, journalism, and critical AI literacy

    Open AccessTomasz Hollanek, Dorian Peters et al.ARTICLEAI & Society2025

    This study explores the perspectives of media professionals on the concerns, needs, and responsibilities related to fostering AI literacy among journalists. We report on findings from two workshops with journalists (based in the USA, the UK, China, and India), as well as representatives of civil society organizations and academic specialists in media and AI literacy. Through a reflexive qualitative analysis of data collected during the workshops,…

  • Engineers on responsibility

    Open AccessEleanor Drage, Kerry Mcinerney et al.ARTICLEEthics and Information Technology2024

    Responsibility has become a central concept in AI ethics; however, little research has been conducted into practitioners’ personal understandings of responsibility in the context of AI, including how responsibility should be defined and who is responsible when something goes wrong. In this article, we present findings from a 2020–2021 data set of interviews with AI practitioners and tech workers at a single multinational technology company and in…

  • The Performativity of AI-powered Event Detection

    Open AccessEleanor Drage, Federica FrabettiARTICLEScience Technology & Human Values2024Cited by: 1References: 21

    This article builds a theoretical framework with which to confront the racializing capabilities of artificial intelligence (AI)-powered real-time Event Detection and Alert Creation (EDAC) software when used for protest detection. It is well-known that many AI-powered systems exacerbate social inequalities by racializing certain groups and individuals. We propose the feminist concept of performativity, as defined by Judith Butler and Karen Barad, …

  • Tech workers' perspectives on ethical issues in AI development

    Open AccessJude Browne, Eleanor Drage et al.ARTICLEBig Data & Society2024Cited by: 2References: 26

    While tech workers are essential stakeholders in ethical artificial intelligence (AI) development and deployment, they are rarely consulted about their understanding of the development of ethical AI. In light of this, we present the findings of our 2020 to 2021 empirical research study in which we collected data from tech workers in a major AI company to better understand what they consider to be the most pressing ethical issues when developing A…

  • Feminist AI

    Jude Browne, Stephen Cave et al.EDITORBOOKFeminist AI2023

  • Who makes AI? Gender and portrayals of AI scientists in popular film, 1920–2020

    Open AccessSyto Cavé, Kanta Dihal et al.ARTICLEPublic Understanding of Science2023

    It is well established both that women are underrepresented in the field of artificial intelligence (AI) and that media representations of professions have impact on career choices and prospects. We therefore hypothesised that women are underrepresented in portrayals of AI researchers in influential films. We tested this by analysing a corpus of the 142 most influential films featuring AI from 1920 to 2020, of which 86 showed one or more AI resea…

  • Copies without an original

    Open AccessEleanor Drage, Federica FrabettiARTICLECommunication and Critical/Cultural…2023

    We analyze two examples of biometrics in civil registration and migration contexts (the German Federal Office for Migration and Refugees' voice biometry system and the UK HMPO passport photo checker tool) to show how, rather than "recognizing" a person, biometrics create a field of intelligibility within which the shifting positionalities of bodies are "stabilized" and deemed recognizable. We show how the obfuscation of this process has had viole…

  • Does AI Debias Recruitment? Race, Gender, and AI’s “Eradication of Difference”

    Open AccessEleanor Drage, Kerry MackerethARTICLEPhilosophy & Technology2022

    In this paper, we analyze two key claims offered by recruitment AI companies in relation to the development and deployment of AI-powered HR tools: (1) recruitment AI can objectively assess candidates by removing gender and race from their systems, and (2) this removal of gender and race will make recruitment fairer, help customers attain their DEI goals, and lay the foundations for a truly meritocratic culture to thrive within an organization. We…