May 07, 2016 book-chapter Open access Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models Artificial Intelligence and Law DOI: 10.1007/s10506-016-9182-5 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 129 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 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 Gendering algorithms in social media 2021 ACM SIGKDD Explorations Newsletter article Social Sciences Ethics and Social Impacts of AI Open access 39 citations A little bird told me your gender: Gender inferences in social media 2021 Information Processing & Management article Social Sciences Ethics and Social Impacts of AI Open access 108 citations Profiling and Predictions: Challenges in Cybercrime Research Datafication 2021 Springer eBooks book-chapter Computer Science Cybercrime and Law Enforcement Studies 2 citations Fair Enough? On (Avoiding) Bias in Data, Algorithms and Decisions 2020 IFIP advances in information and communication technology conference-paper Social Sciences Ethics and Social Impacts of AI Open access 1 citations 5 results References 0