Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads

Cited by (892)

Items 101–200 of 892

1. TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks
   Amirarsalan Rajabi, Özlem Özmen Garibay · 2022 · Machine Learning and Knowledge Extraction
2. The dark side of AI-enabled HRM on employees based on AI algorithmic features
   Yu Zhou, Wang Li-jun, Wansi Chen · 2023 · Journal of Organizational Change Management
3. Values and Ethics in Information Systems
   Sarah Spiekermann, Hanna Krasnova, Oliver Fast Hinz, Annika Baumann, Alexander Benlian, Henner Gimpel, Irina Heimbach, Antonia Köster, Alexander Maedche, Björn Niehaves et al. · 2022 · Business & Information Systems Engineering
4. A brief review on algorithmic fairness
   Xiaomeng Wang, Yishi Zhang, Ruilin Zhu · 2022 · Management System Engineering
5. Unveiling the Mind of the Machine
   Melanie Clegg, Reto Hofstetter, Emanuel de Bellis, Bernd H. Schmitt · 2023 · Journal of Consumer Research
6. No Thanks, Dear AI! Understanding the Effects of Disclosure and Deployment of Artificial Intelligence in Public Sector Recruitment
   Florian Keppeler · 2022 · Journal of Public Administration Research and Theory
7. Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
   Manish Raghavan · 2023 · ACM eBooks
8. Fairness in Deep Learning: A Survey on Vision and Language Research
   Otávio Parraga, Martin D. Móre, Christian Mattjie, Nathan Schneider Gavenski, Lucas Silveira Kupssinskü, Adilson Medronha, Luís Vinícius de Moura, Gabriel S. Simões, Rodrigo Coelho Barros · 2023 · ACM Computing Surveys
9. Perceptions and detection of AI use in manuscript preparation for academic journals
   Nir Chemaya, Daniel Martin · 2024 · PLoS ONE
10. Assumptions About Algorithms’ Capacity for Discrimination
    Arthur S. Jago, Kristin Laurin · 2021 · Personality and Social Psychology Bulletin
11. Algorithmic Fairness in AI
    Jella Pfeiffer, Julia Gutschow, Christian Stefan Haas, Florian Möslein, Oliver Maspfuhl, Frederik Borgers, Suzana Alpsancar · 2023 · Business & Information Systems Engineering
12. Implicit bias in large language models: Experimental proof and implications for education
    Melissa Warr, Nicole Jakubczyk Oster, Roger Isaac · 2024 · Journal of Research on Technology in Education
13. Algorithmic Injustices: Towards a Relational Ethics
    Abeba Birhane, Fred Cummins · 2019 · arXiv (Cornell University)
14. Artificial intelligence bias in medical system designs: a systematic review
    Kumar, Ashish, Aelgani, Vivekanand, Vohra, Rubeena, Gupta, Suneet K., Bhagawati, Mrinalini, Paul, Sudip, Saba, Luca, Suri, Neha, Khanna, Narendra N., Laird, John R. et al. · 2023 · Multimedia Tools and Applications
15. Hiring as Exploration
    Li, Danielle, Raymond, Lindsey, Bergman, Peter · 2020
16. Threat of racial and economic inequality increases preference for algorithm decision-making
    Yochanan Bigman, Kai Chi Yam, Déborah Marciano, Scott J. Reynolds, Kurt J. Gray · 2021 · Computers in Human Behavior
17. The sociotechnical entanglement of AI and values
    Deborah G. Johnson, Mario Verdicchio · 2024 · AI & Society
18. Monsters, Metaphors, and Machine Learning
    Graham Dove, Anne‐Laure Fayard · 2020 · CHI Conference on Human Factors in Computing Systems
19. To err is human, not algorithmic – Robust reactions to erring algorithms
    Laetitia Aurelie Renier, Marianne Schmid Mast, Anely Bekbergenova · 2021 · Computers in Human Behavior
20. Artificial intelligence and labour market matching
    Stijn Broecke · 2023 · OECD social employment and migration working papers
21. Understanding how algorithmic injustice leads to making discriminatory decisions: An obedience to authority perspective
    Maryam Ghasemaghaei, Nima Kordzadeh · 2024 · Information & Management
22. A multi-stakeholder ethical framework for AI-augmented HRM
    Prikshat, Verma, Patel, Parth, Varma, Arup, Ishizaka, Alessio · 2022 · International Journal of Manpower
23. Enhancing transparency and fairness in automated credit decisions: an explainable novel hybrid machine learning approach
    Chioma Ngozi Nwafor, Obumneme Nwafor, Sanjukta Brahma · 2024 · Scientific Reports
24. The GenAI Future of Consumer Research
    Ming‐Hui Huang, Roland T. Rust · 2025 · Journal of Consumer Research
25. International organisations and the future of work: How new technologies and inequality shaped the narratives in 2019
    Damian Grimshaw · 2020 · Journal of Industrial Relations
26. Digital Globalization
    Stephen J. Weymouth · 2023 · Cambridge University Press eBooks
27. The effects of algorithmic content selection on user engagement with news on Twitter
    Erwan Dujeancourt, Marcel Garz · 2023 · The Information Society
28. Mitigating Gender Bias in Machine Learning Data Sets
    Susan Leavy, Gerardine Meaney, Karen Wade, Derek Greene · 2020 · Communications in computer and information science
29. Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of Race
    Susan Leavy, Ευγενία Σιαπέρα, Barry O’Sullivan · 2021 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
30. Barriers and Boosts: Using Inequity Frames Theory to Expand Understanding of Mechanisms of Race and Gender Inequity
    L Taylor Phillips, Sora Jun, Angela Shakeri · 2022 · Academy of Management Annals
31. People versus machines: introducing the HIRE framework
    Paris Will, Dario Krpan, Grace Lordan · 2022 · Artificial Intelligence Review
32. Antidiscrimination Laws, Artificial Intelligence, and Gender Bias: A Case Study in Nonmortgage Fintech Lending
    Stephanie Kelley, Anton S. Ovchinnikov, David Roi Hardoon, Adrienne Heinrich · 2022 · Manufacturing & Service Operations Management
33. Incorporating FAT and privacy aware AI modeling approaches into business decision making frameworks
    Dmitry Zhdanov, Sudip Bhattacharjee, Mikhail A. Bragin · 2021 · Decision Support Systems
34. Mitigating Gender Bias in Captioning Systems
    Tang, Ruixiang, Du, Mengnan, Li, Yuening, Liu, Zirui, Zou, Na, Hu, Xia · 2021 · Proceedings of the Web Conference 2021
35. Algorithmic Transparency with Strategic Users
    Qiaochu Wang, Yan Hua Huang, Stefanus Jasin, Param Vir Singh · 2022 · Management Science
36. Artificial intelligence and rationalized unaccountability: Ideology of the elites?
    Mikko Jalmari Vesa, Janne Tienari · 2020 · Organization
37. Artificial intelligence adoption among human resource professionals: Does market turbulence play a role?
    Md Asadul Islam, Faraj Mazyed Faraj Aldaihani, Seyed Ghasem Saatchi · 2023 · Global Business and Organizational Excellence
38. On Fairness and Calibration
    Manish Raghavan · 2023 · ACM eBooks
39. Likelihood of Questioning AI-Based Recommendations Due to Perceived Racial/Gender Bias
    Parra, Carlos M., Gupta, Manjul, Dennehy, Denis · 2022 · IEEE Transactions on Technology and Society
40. FairPlay: Detecting and Deterring Online Customer Misbehavior
    Ji Wu, Zhiqiang Zheng, J. Leon Zhao · 2021 · Information Systems Research
41. Inevitable challenges of autonomy: ethical concerns in personalized algorithmic decision-making
    Wencheng Lu · 2024 · Humanities and Social Sciences Communications
42. From Big Data to Deep Learning: A Leap Towards Strong AI or ‘Intelligentia Obscura’?
    Stefan Strauß · 2018 · Big Data and Cognitive Computing
43. Aversion to Hiring Algorithms: Transparency, Gender Profiling, and Self-Confidence
    Marie-Pierre Dargnies, Rustamdjan Hakimov, Dorothea F. Kübler · 2024 · Management Science
44. Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: Cultivating ethical awareness through problem-solving with artificial intelligence tools
    Siu Cheung Kong, Jinyu Zhu · 2025 · Computers and Education Artificial Intelligence
45. OK computer: Worker perceptions of algorithmic recruitment
    Fumagalli, Elena, Rezaei, Sarah, Salomons, Anna · 2022 · Research Policy
46. More than a Modern Day Green Book: Exploring the Online Community of Black Twitter
    Klassen, Shamika, Kingsley, Sara, McCall, Kalyn, Weinberg, Joy, Fiesler, Casey · 2021 · Proceedings of the ACM on Human-Computer Interaction
47. Seeming Ethical Makes You Attractive: Unraveling How Ethical Perceptions of AI in Hiring Impacts Organizational Innovativeness and Attractiveness
    Serge P. da Motta Veiga, María Figueroa-Armijos, Brent B. Clark · 2023 · Journal of Business Ethics
48. Large language models and political science
    Mitchell Linegar, Rafał Kocielnik, R. Michael Alvarez · 2023 · Frontiers in Political Science
49. Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management
    Stefano Armenia, Eduardo Franco, Francesca Iandolo, Giuliano Maielli, Pietro Vito · 2024 · Technological Forecasting and Social Change
50. AI-Driven Contextual Advertising: Toward Relevant Messaging Without Personal Data
    Emil Häglund, Johanna Björklund · 2024 · Journal of Current Issues & Research in Advertising
51. The Cost of Fairness in AI: Evidence from E-Commerce
    Moritz von Zahn, Stefan Feuerriegel, Niklas Kuehl · 2021 · Business & Information Systems Engineering
52. Where A/B Testing Goes Wrong: How Divergent Delivery Affects What Online Experiments Cannot (and Can) Tell You About How Customers Respond to Advertising
    Michael I. Braun, Eric M. Schwartz · 2024 · Journal of Marketing
53. Gender-Based Pricing in Consumer Packaged Goods: A Pink Tax?
    Sarah Moshary, Anna E. Tuchman, Natasha Vajravelu · 2023 · Marketing Science
54. Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising
    Michelle S. Lam, Ayush Pandit, Colin H. Kalicki, Rachit Gupta, Poonam Sahoo, Danaë Metaxa · 2023 · Proceedings of the ACM on Human-Computer Interaction
55. "Give Everybody [..] a Little Bit More Equity": Content Creator Perspectives and Responses to the Algorithmic Demonetization of Content Associated with Disadvantaged Groups
    Sara Kingsley, Proteeti Sinha, Clara Wang, Motahhare Eslami, Jason Hong · 2022 · Proceedings of the ACM on Human-Computer Interaction
56. Authentic Integration of Ethics and AI through Sociotechnical, Problem-Based Learning
    Ari Krakowski, Eric Greenwald, Timothy Hurt, Brandie Martin Nonnecke, Matthew A. Cannady · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
57. Data privacy: From transparency to fairness
    Chao Wu · 2024 · Technology and Society
58. Playlisting favorites: Measuring platform bias in the music industry
    Luis L. M. Aguiar, Joel Waldfogel, Sarah Waldfogel · 2021 · International Journal of Industrial Organization
59. Gendering algorithms in social media
    Eduard Fosch‐Villaronga, Adam Poulsen, Roger A. Søraa, Bart H. M. Custers · 2021 · ACM SIGKDD Explorations Newsletter
60. For a heterodox computational social science
    Petter Törnberg, Justus Uitermark · 2021 · Big Data & Society
61. Understanding experiences of food-delivery-platform workers under algorithmic management using topic modeling
    Jongho Won, Daeho Lee, Junmin Lee · 2023 · Technological Forecasting and Social Change
62. The Adoption of Artificial Intelligence in Bureaucratic Decision-making: A Weberian Perspective
    Rodrigo Cetina Presuel, José Manuel Martínez Sierra · 2023 · Digital Government Research and Practice
63. Artificial Intelligence and Pricing
    Diego Aparicio, Kanishka Misra · 2023 · Emerald Group Publishing Limited eBooks
64. Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies
    Yao Wu, Jian Cao, Guandong Xu · 2023 · ACM Transactions on Knowledge Discovery from Data
65. Toward Fair Recommendation in Two-sided Platforms
    Arpita Biswas, Gourab K Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty · 2021 · ACM Transactions on the Web
66. Impact of Artificial Intelligence on Corporate Board Diversity Policies and Regulations
    Muzaffer Eroğlu, Meltem Karatepe Kaya · 2022 · European Business Organization Law Review
67. Reinscribing gender: social media, algorithms, bias
    Jonathan E. Schroeder · 2020 · Journal of Marketing Management
68. Online Display Advertising Markets: A Literature Review and Future Directions
    Hana Choi, Carl F. Mela, Santiago Balseiro, Adam Leary · 2019 · SSRN Electronic Journal
69. Synergy Between AI and Robotics: A Comprehensive Integration
    Ness, Stephanie, Shepherd, Nicki James, Xuan, Teo Rong · 2023 · Asian Journal of Research in Computer Science
70. Assessment of the bias of artificial intelligence generated images and large language models on their depiction of a surgeon
    Jevan Cevik, Bryan Lim, Ishith Seth, Foti Sofiadellis, Richard J. Ross, Roberto Cuomo, Warren M. Rozen · 2023 · ANZ Journal of Surgery
71. FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph
    Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia · 2023 · ACM Transactions on Information Systems
72. Gender Slopes
    Jungseock Joo, Kimmo Kärkkäinen · 2020
73. Online Certification of Preference-Based Fairness for Personalized Recommender Systems
    Virginie Do, Sam Corbett‐Davies, Jamal Atif, Nicolas Usunier · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
74. Designing equitable algorithms
    Alex Chohlas-Wood, Madison Coots, Sharad Goel, Julian Nyarko · 2023 · Nature Computational Science
75. Artificial Intelligence’s new clothes? A system technology perspective
    Simone Vannuccini, Ekaterina Prytkova · 2023 · Journal of Information Technology
76. A consumer perspective of AI certification – the current certification landscape, consumer approval and directions for future research
    Myrthe Blösser, Andrea Weihrauch · 2023 · European Journal of Marketing
77. Ethics in the Age of Algorithms: Unravelling the Impact of Algorithmic Unfairness on Data Analytics Recommendation Acceptance
    Maryam Ghasemaghaei, Nima Kordzadeh · 2024 · Information Systems Journal
78. The Psychology of Stereotypes
    Endre Begby · 2021 · Oxford University Press eBooks
79. Technological Innovation and Discrimination in Household Finance
    Adair Morse, Karen M. Pence · 2020 · National Bureau of Economic Research
80. Feminism Confronts AI
    Judy Wajcman, Erin S. Young · 2023 · Oxford University Press eBooks
81. Women in STEM in Higher Education
    Francisco José García-Peñalvo, Alicia García-Holgado, Dominguez, Angeles, Pascual, Jimena · 2022 · Lecture notes in educational technology
82. Algorithms that "Don't See Color"
    Piotr Sapieżyński, Avijit Ghosh, Levi Kaplan, Aaron Rieke, Alan E. Mislove · 2022 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
83. Fair Representation Learning for Recommendation: A Mutual Information Perspective
    Chen Zhao, Wu Le, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
84. Social media and hyper‐masculine work cultures
    Anna Maaranen, Janne Tienari · 2020 · Gender Work and Organization
85. When the Automated fire Backfires: The Adoption of Algorithm-based HR Decision-making Could Induce Consumer’s Unfavorable Ethicality Inferences of the Company
    Chenfeng Yan, Quan Chen, Xinyue Zhou, Xin Dai, Zhilin Yang · 2023 · Journal of Business Ethics
86. The Right to Transparency in Public Governance: Freedom of Information and the Use of Artificial Intelligence by Public Agencies
    Henrik Palmer Olsen, Thomas Hildebrandt, Cornelius Wiesener, Matthias Smed Larsen, Asbjørn William Ammitzbøll Flügge · 2023 · Digital Government Research and Practice
87. Cyborging HRM theory: from evolution to revolution – the challenges and trajectories of AI for the future role of HRM
    Edna Rabenu, Yehuda Baruch · 2024 · Personnel Review
88. Digital ethics: Global trends and divergent paths
    A. Guenduez, N. Walker, M. Demircioglu · 2025 · Government Information Quarterly
89. Age and gender distortion in online media and large language models
    Douglas Guilbeault, Solène Delecourt, Bhargav Srinivasa Desikan · 2025 · Nature
90. Integrating Behavioral, Economic, and Technical Insights to Address Algorithmic Bias: Challenges and Opportunities for IS Research
    Gediminas Adomavičius, Mochen Yang · 2019 · ACM Transactions on Management Information Systems
91. Average User-Side Counterfactual Fairness for Collaborative Filtering
    Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang · 2024 · ACM Transactions on Information Systems
92. Asymmetric Impact of Matching Technology on Influencer Marketing: Implications for Platform Revenue
    Z. Jessie Liu, Yi Liu · 2024 · Marketing Science
93. Frontiers: The Intended and Unintended Consequences of Privacy Regulation for Consumer Marketing
    Jean‐Pierre Dubé, John G Lynch, Dirk Bergemann, Mert Demirer, Avi Goldfarb B, Garrett A. Johnson, Anja Lambrecht, Tesary Lin, Anna E. Tuchman, Catherine E. Tucker · 2025 · Marketing Science
94. Constructing a Fair Classifier with Generated Fair Data
    Taeuk Jang, Feng Zheng, Xiaoqian Wang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
95. Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness
    Nicola Neophytou, Bhaskar Mitra, Catherine Stinson · 2022 · Lecture notes in computer science
96. Artificial intelligence, ethics, and intergenerational responsibility
    Victor Klockmann, Alicia von Schenk, Marie Claire Villeval · 2022 · Journal of Economic Behavior & Organization
97. FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
    Cheng Hong Yang, Jixi Liu, Yunhe Yan, Chuan Shi · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
98. Systematic discrepancies in the delivery of political ads on Facebook and Instagram
    Dominik Bär, Francesco Pierri, Gianmarco De Francisci Morales, Stefan Feuerriegel · 2024 · PNAS Nexus
99. AI in business research
    Zhi Cao, Meng Li, Paul A. Pavlou · 2024 · Decision Sciences
100. Personalization and targeting: how to experiment, learn & optimize
     Aurélie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernán A. Bruno, Brett R. Gordon, Ayelet Israeli, Elea McDonnell Feit, Carl F. Mela, Oded Netzer · 2025 · International Journal of Research in Marketing