{"id":"W4389459772","doi":"10.29173/irie497","title":"Some Policy Recommendations to Fight Gender and Racial Biases in AI","year":2022,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Political science; Gender studies; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.05386014,0.001722541,0.001503435,0.004431488,0.00564527,0.01508095,0.005109563,0.03934416,0.0164235],"category_scores_gemma":[0.1384925,0.0009965099,0.00234209,0.00370018,0.01555093,0.02396073,0.005002761,0.02901002,0.005079278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007960805,"about_ca_system_score_gemma":0.01847856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070856,"about_ca_topic_score_gemma":0.01051687,"domain_scores_codex":[0.9489056,0.03304335,0.003277669,0.00302689,0.009045586,0.002700703],"domain_scores_gemma":[0.8334015,0.1237474,0.006658833,0.007797154,0.02300935,0.00538567],"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":[0.00005229659,0.0002080523,0.0004324084,0.0007509338,0.00003991855,0.0001634266,0.0008498632,0.001583101,0.0001967637,0.7149701,0.2429036,0.03784947],"study_design_scores_gemma":[0.0001634064,0.00006242584,0.0004663547,0.003204806,0.00006728743,0.0001488169,0.0017771,0.00221803,0.000554827,0.6090009,0.3822218,0.0001142307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003349078,0.005664277,0.01145205,0.9612574,0.004512813,0.0001062913,0.00008179725,0.0001415302,0.01644894],"genre_scores_gemma":[0.0440451,0.02509338,0.07745052,0.8132207,0.01204846,0.001708812,0.0002323245,0.0002257469,0.02597488],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05386014,"threshold_uncertainty_score":0.2848431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134823259847226,"score_gpt":0.4813970822856167,"score_spread":0.3465738224383907,"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."}}