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Gender bias is rampant in AI systems, causing bad user experience, injustices, and mental harm to women.
Gender bias: roadblock to sustainable development
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Gender and the culture of computing in applied it education
Susan C Herring, Christine Ogan, Manju Ahuja, and Jean C Robinson · 2006
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Sex and international tribunals: The erasure of gender from the war narrative
Chiseche Salome Mibenge · 2013
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Gender disparaging jokes: An investigation of sexist-nonstereotypical jokes on funniness, typicality, and the moderating role of ingroup identification
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Search engine liability for autocomplete suggestions: personality, privacy and the power of the algorithm
Stavroula Karapapa and Maurizio Borghi · 2015
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James Manyika, Michael Chui, Mehdi Miremadi, Jacques Bughin, Katy George, Paul Willmott, and Martin Dewhurst · 2017
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Paola Medel and Vahab Pournaghshband · 2017
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Gender stereotypes
Naomi Ellemers · 2018
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Technological opacity & procedural injustice
Seth Katsuya Endo · 2018
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Gender bias in artificial intelligence: The need for diversity and gender theory in machine learning
Susan Leavy · 2018
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Algorithms of oppression
Safiya Umoja Noble · 2018
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Gender bias in coreference resolution: Evaluation and debiasing methods
J. Zhao, T. Wang, M. Yatskar, V. Ordonez, and K. W. Chang · 2018
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Discrimination through optimization: How facebook’s ad delivery can lead to biased outcomes
Muhammad Ali, Piotr Sapiezynski, Miranda Bogen, Aleksandra Korolova, Alan Mislove, and Aaron Rieke · 2019
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Constructionism, ethics, and creativity: Developing primary and middle school artificial intelligence education
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Algorithmic bias? an empirical study of apparent gender-based discrimination in the display of stem career ads
Anja Lambrecht and Catherine Tucker · 2019
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T. Manzini, Y. C. Lim, Y. Tsvetkov, and A. W. Black · 2019
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Mitigating gender bias in natural language processing: Literature review
T. Sun, A. Gaut, S. Tang, Y. Huang, M. ElSherief, J. Zhao, and W. Y. Wang · 2019
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Dehumanizing representations of women: the shaping of hostile sexist attitudes through animalistic metaphors
Caroline N Tipler and Janet B Ruscher · 2019
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Popbots: Designing an artificial intelligence curriculum for early childhood education
R. Williams, H. W. Park, L. Oh, and C. Breazeal · 2019
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Youth learning machine learning through building models of athletic moves
A. Zimmermann-Niefield, M. Turner, B. Murphy, S. K. Kane, and R. B. Shapiro · 2019
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Teachable machine: Approachable web-based tool for exploring machine learning classification
M. Carney, B. Webster, I. Alvarado, K. Phillips, N. Howell, J. Griffith, and A. Chen · 2020
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Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
Davide Cirillo, Silvina Catuara-Solarz, Czuee Morey, Emre Guney, Laia Subirats, Simona Mellino, Annalisa Gigante, Alfonso Valencia, María José Rementeria, Antonella Santuccione Chadha, et al · 2020
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The need for health ai ethics in medical school education
Gali Katznelson and Sara Gerke · 2021
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A high-level overview of ai ethics
Emre Kazim and Adriano Soares Koshiyama · 2021
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Bert: a review of applications in natural language processing and understanding
MV Koroteev · 2021
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Detecting race and gender bias in visual representation of ai on web search engines
M. Makhortykh, A. Urman, and R. Ulloa · 2021
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Using explainability to help children understandgender bias in ai
G. I. Melsión, I. Torre, E. Vidal, and I. Leite · 2021
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Readying medical students for medical ai: The need to embed ai ethics education
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Data feminism
C. D’ignazio and L. F. Klein · 2020
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Gender bias in chatbot design
Jasper Feine, Ulrich Gnewuch, Stefan Morana, and Alexander Maedche · 2020
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More than “if time allows”: the role of ethics in ai education
N. Garrett, N. Beard, and C. Fiesler · 2020
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Gender bias in ai: A review of contributing factors and mitigating strategies
Ayesha Nadeem, Babak Abedin, and Olivera Marjanovic · 2020
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Bias in multimodal ai: Testbed for fair automatic recruitment
Alejandro Pena, Ignacio Serna, Aythami Morales, and Julian Fierrez · 2020
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Assessing gender bias in machine translation: a case study with google translate
Marcelo OR Prates, Pedro H Avelar, and Luís C Lamb · 2020
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Re-shape: A method to teach data ethics for data science education
B. R. Shapiro, A. Meng, C. O’Donnell, C. Lou, E. Zhao, B. Dankwa, and A. Hostetler · 2020
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Thomas P Quinn and Simon Coghlan · 2021
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Learning ethics in ai—teaching non-engineering undergraduates through situated learning
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From demo to design in teaching machine learning
K. E. K. Bilstrup, M. H. Kaspersen, I. Assent, S. Enni, and M. G. Petersen · 2022
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Amazon scraps secret ai recruiting tool that showed bias against women
Jeffrey Dastin · 2022
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Ai bias in human-robot interaction: An evaluation of the risk in gender biased robots
T. Hitron, B. Megidish, E. Todress, N. Morag, and H. Erel · 2022
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Gender bias in ai-based decision-making systems: a systematic literature review
A. Nadeem, O. Marjanovic, and B. Abedin · 2022
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Fairness in rankings and recommendations: an overview
E. Pitoura, K. Stefanidis, and G. Koutrika · 2022
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Intersectional experiences of unfair treatment caused by automated computational systems
Tom van Nuenen, Jose Such, and Mark Cote · 2022
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Do humans prefer debiased ai algorithms? a case study in career recommendation
C. Wang, K. Wang, A. Bian, R. Islam, K. N. Keya, J. Foulds, and S. Pan · 2022
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More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech
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On educating ethics in the ai era: why business schools need to move beyond digital upskilling, towards ethical upskilling
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The blueprint for an ai bill of rights: in search of enaction, at risk of inaction
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“how technical do you get? i’m an english teacher”’: Teaching and learning cybersecurity and ai ethics in high school
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Are leaders still presumed white by default? racial bias in leader categorization revisited
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“i felt like i wasn’t really meant to be there”: Understanding women’s perceptions of gender in approaching ai design & development
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Shaping feminist artificial intelligence
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Artificial intelligence bias in health care: Web-based survey
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