Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey
Fabris, Alessandro, Baranowska, Nina, Dennis, Matthew J., Graus, David, Hacker, Philipp, Saldivar, Jorge, Zuiderveen Borgesius, Frederik, Biega, Asia J.·2025·ACM Transactions on Intelligent Systems and Technology
DOI 10.1145/3696457
Cites (213)
Items 201–232 of 232
- Price discrimination, algorithmic decision-making, and European non-discrimination lawF. Z. Zuiderveen Borgesius · 2019 · European Business Law Review
- Measuring Fairness of Rankings under Noisy Sensitive InformationAzin Ghazimatin, Matthäus Kleindeßner, Chris Russell, Ziawasch Abedjan, Jacek Golebiowski · 2022 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
- Employee Satisfaction vs. Employee Engagement vs. Employee NPSMaya Yaneva · 2018 · European Journal of Economics and Business Studies
- Multi-Task Deep Neural Networks for Multimodal Personality Trait PredictionDena F. Mujtaba, Nihar R. Mahapatra · 2021 · International Conference on Computational Science and Computational Intelligence (CSCI)
- Tackling Documentation Debt: A Survey on Algorithmic Fairness DatasetsAlessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto · 2022 · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
- Lazy Data Practices Harm Fairness ResearchJan Simson, Alessandro Fabris, Christoph A. Kern · 2024 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
- Disentangling and Operationalizing AI Fairness at LinkedInJoaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu · 2023 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
- Untitled work2022 · eYLS (Yale Law School)
- Gendered Information in Resumes and Hiring Bias: A Predictive Modeling ApproachPrasanna Parasurama, João Sedoc, Anindya Ghose · 2022 · SSRN Electronic Journal
- On the Potential for Discrimination via CompositionGiridhari Venkatadri, Alan E. Mislove · 2020 · ACM Internet Measurement Conference (IMC)
- Closing the Gender Wage Gap: Adversarial Fairness in Job RecommendationClara Rus, Luppes, Jeffrey, Harrie Oosterhuis, Gido Schoenmacker · 2022 · arXiv (Cornell University)
- Artificial Intelligence Ethics: An Inclusive Global Discourse?Roche, Cathy, David Lewis, P. J. Wall · 2021 · arXiv (Cornell University)
- Social networking information and pre-employment background check: mediating effects of perceived benefit and organizational brandingSajjad Hosain, Liu Ping, Mohitul Ameen Ahmed Mustafi · 2021 · International Journal of Manpower
- Gendered Information in Resumes and its Role in Algorithmic and Human Hiring BiasPrasanna Parasurama, João Sedoc · 2022 · Academy of Management Proceedings
- Are Humans Biased in Assessment of Video Interviews?Chee Wee Leong, Katrina Crotts Roohr, Vikram Ramanarayanan, Michelle P. Martín‐Raugh, Harrison J. Kell, Rutuja Ubale, Yao Qian, Zydrune Mladineo, Laura McCulla · 2019
- Don’t Judge Me by My Face: An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video InterviewsLéo Hemamou, Arthur Guillon, Jean‐Claude Martin, Chloé Clavel · 2021 · International Conference on Affective Computing and Intelligent Interaction and workshops
- "You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated LearningMarc Juarez, Aleksandra Korolova · 2022 · arXiv (Cornell University)
- Disparate Impact RealismAmy L. Wax · 2011
- Degree-Related Bias in Link PredictionYu Wang, Tyler Derr · 2022 · IEEE ... International Conference on Data Mining workshops
- Grading video interviews with fairness considerationsAbhishek Singhania, Abhishek Unnam, Varun Aggarwal · 2020 · arXiv (Cornell University)
- BIAS Word inventory for work and employment diversity, (in)equality and inclusivity (Version 2.0)Alla Konnikov, Nicole Denier, Yang Hu, Karen D. Hughes, Rebecca Deutsch, Lei Ding, Jabir Alshehabi Al-Ani, Irina Rets, Monideepa Tarafdar · 2022
- Are Male Candidates Better than Females? Debiasing BERT Resume Retrieval SystemSijing Zhang, Ping Li, Ziyan Cai · 2022 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
- Fairness in Regression -- Analysing a Job Candidates Ranking SystemKarla Markert, Afrae Ahouzi, Pascal Debus · 2022 · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
- Countenancing Employment DiscriminationKerri A. Thompson · 2020
- Race, Glass Ceilings, and Lower Pay for Equal WorkDeepak Hegde, Alexander P. Ljungqvist, Manav Raj · 2021 · SSRN Electronic Journal
- Discrimination for the Sake of Fairness: Fairness by Design and Its Legal FrameworkHolly Hoch, Corinna Hertweck, Michele Loi, Aurelia Tamò‐Larrieux · 2021 · SSRN Electronic Journal
- Delivering Fairness in Human Resources AI: Mutual Information to the RescueLéo Hemamou, William P. Coleman · 2022 · Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP)
- Degendering Resumes for Fair Algorithmic Resume ScreeningPrasanna Parasurama, João Sedoc · 2021 · arXiv (Cornell University)
- The Initial Screening Order ProblemAlvarez, Jose M., Mastropietro, Antonio, Ruggieri, Salvatore · 2023 · arXiv
- Unequal Opportunities in Multi-hop Referral ProgramsYiguang Zhang, Augustin Chaintreau · 2021 · arXiv (Cornell University)
- BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingDevlin, Jacob, Chang, Ming-Wei, Lee, Kenton, Toutanova, Kristina · 2018 · arXiv
- A challenge-based survey of e-recruitment recommendation systemsYoosof Mashayekhi, Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie · 2022 · arXiv