{"id":"W4287960205","doi":"","title":"Is discrimination in artificial intelligence sufficiently regulated?","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.04269226,0.0004742719,0.0009502419,0.001675206,0.01055274,0.01708083,0.002823319,0.0108871,0.003120879],"category_scores_gemma":[0.07156786,0.0005077653,0.0009868216,0.002244682,0.0870745,0.0111908,0.005774588,0.01357007,0.0007927631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02876771,"about_ca_system_score_gemma":0.03660378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1398737,"about_ca_topic_score_gemma":0.09218031,"domain_scores_codex":[0.9385628,0.03106263,0.001872884,0.006389534,0.01565199,0.006460226],"domain_scores_gemma":[0.935994,0.03033256,0.005991774,0.01099123,0.01447368,0.002216689],"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":[0.000009469642,0.00001264664,0.0008254481,0.00003517593,0.00001141981,0.00004373505,0.00298613,0.0002308335,0.0001107794,0.9864998,0.002644475,0.006590025],"study_design_scores_gemma":[0.00002191474,0.00001611049,0.001511218,0.0003306432,0.00001973774,0.00008159967,0.002323958,0.0008133955,0.0003151581,0.9247937,0.06973128,0.0000412593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04190816,0.009136003,0.04376264,0.5033191,0.001799311,0.0001287607,0.0001584408,0.0001258887,0.3996618],"genre_scores_gemma":[0.9137978,0.003308172,0.006744388,0.06372716,0.001067585,0.0001994209,0.00007275459,0.00008966173,0.01099315],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9894472,"threshold_uncertainty_score":0.278119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05948915791511772,"score_gpt":0.3368112650062001,"score_spread":0.2773221070910823,"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."}}