{"id":"W3000972303","doi":"10.1145/3375627.3375828","title":"Algorithmic Fairness from a Non-ideal Perspective","year":2020,"lang":"en","type":"preprint","venue":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ideal (ethics); Variety (cybernetics); Operationalization; Computer science; Politics; Artificial intelligence; Management science; Epistemology; Economics; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02722604,0.0007795098,0.001360667,0.001546954,0.003119366,0.007582671,0.003264896,0.003072043,0.005962736],"category_scores_gemma":[0.06682899,0.0005195504,0.001418578,0.001318188,0.01697338,0.01247775,0.005496485,0.006546859,0.0006747195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004394694,"about_ca_system_score_gemma":0.005093017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722025,"about_ca_topic_score_gemma":0.001502155,"domain_scores_codex":[0.9785382,0.01228287,0.0008163806,0.002647691,0.004400596,0.001314264],"domain_scores_gemma":[0.9557786,0.03083,0.001988273,0.0072897,0.003001147,0.001112223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000934595,0.000007268645,0.0001274653,0.00002189117,0.000007591157,0.000008897649,0.00009856208,0.006593894,0.00003933982,0.9897523,0.0004492738,0.002884223],"study_design_scores_gemma":[0.00000574897,0.000006127169,0.00004328289,0.00001470238,0.000003484141,0.000009728547,0.00003122593,0.01535654,0.00007532088,0.9825215,0.001927289,0.00000511705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01726457,0.001254605,0.9177672,0.01580268,0.0003745268,0.0001116847,0.00009358443,0.0001729375,0.04715826],"genre_scores_gemma":[0.8160136,0.001148328,0.1705838,0.002377288,0.0009300986,0.0003699098,0.0001320507,0.0001744936,0.008270465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02722604,"threshold_uncertainty_score":0.1439868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1209770566831607,"score_gpt":0.3990591779024583,"score_spread":0.2780821212192977,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}