August 01, 2023 conference-paper Open access A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges International Joint Conference on Artificial Intelligence DOI: 10.24963/ijcai.2023/742 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 38 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Toward substantive intersectional algorithmic fairness: desiderata for a feminist approach 2026 AI and Ethics article Social Sciences Ethics and Social Impacts of AI Open access 2 citations Bias-aware ranking from pairwise comparisons 2024 Data Mining and Knowledge Discovery article Economics, Econometrics and Finance Game Theory and Voting Systems Open access 6 citations Policy advice and best practices on bias and fairness in AI 2024 Ethics and Information Technology article Social Sciences Ethics and Social Impacts of AI Open access 105 citations 3 results References 0