{"id":"W4210464196","doi":"10.4018/ijt.291554","title":"The Fairness Impact Assessment","year":2022,"lang":"en","type":"article","venue":"International Journal of Technoethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Field (mathematics); Management science; Risk analysis (engineering); Data science; Business; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07390389,0.001649685,0.001408432,0.01039949,0.006248311,0.008840195,0.002463737,0.003562375,0.01451038],"category_scores_gemma":[0.1946768,0.0004265438,0.002056357,0.005596722,0.008899036,0.01004724,0.008763848,0.004467621,0.001897276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006639845,"about_ca_system_score_gemma":0.01040475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003643634,"about_ca_topic_score_gemma":0.003327853,"domain_scores_codex":[0.8904537,0.05997438,0.004996998,0.004862824,0.03718918,0.002522923],"domain_scores_gemma":[0.8245206,0.1066855,0.01266643,0.01470708,0.03723967,0.004180669],"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":[0.0002444838,0.0002787976,0.01955388,0.0006524252,0.000222335,0.000162538,0.003161974,0.006530852,0.00110473,0.6649911,0.01978863,0.2833083],"study_design_scores_gemma":[0.0001171234,0.0007252498,0.01762698,0.0017325,0.0002900127,0.0006658628,0.004198365,0.02777664,0.004440347,0.7944969,0.1475664,0.0003636828],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04316892,0.003070824,0.5086386,0.01113082,0.001981604,0.003670039,0.00186003,0.000656263,0.4258229],"genre_scores_gemma":[0.731811,0.00172479,0.2413608,0.002335154,0.0007139868,0.004208182,0.0006034931,0.0002514221,0.01699123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07390389,"threshold_uncertainty_score":0.3908458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690267492923172,"score_gpt":0.492179945365522,"score_spread":0.4552772704362902,"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."}}