{"id":"W4407842029","doi":"10.2139/ssrn.5117071","title":"The Overstated Cost of AI Fairness in Criminal Justice","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Criminal justice; Economic Justice; Criminology; Business; Law and economics; Computer science; Psychology; Economics; Microeconomics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.02047967,0.0002670962,0.001005437,0.001815333,0.004218097,0.007240084,0.001816353,0.007696146,0.01594937],"category_scores_gemma":[0.1107426,0.0004077902,0.0005526483,0.001434681,0.01605223,0.00826825,0.004987482,0.008133756,0.0008723476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005053348,"about_ca_system_score_gemma":0.006071796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005552592,"about_ca_topic_score_gemma":0.006471395,"domain_scores_codex":[0.9761955,0.01190487,0.000846402,0.001763332,0.00692882,0.002361201],"domain_scores_gemma":[0.9055445,0.06327489,0.005215465,0.01147551,0.01074508,0.003744622],"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":[0.0001291822,0.00006624438,0.003591122,0.00006521773,0.00005139278,0.00008719733,0.0008291018,0.001143808,0.0002218597,0.9646613,0.006175288,0.02297826],"study_design_scores_gemma":[0.00002779783,0.00003146883,0.0036852,0.00007498032,0.00003470394,0.0001196961,0.0008298081,0.001921163,0.000252667,0.9814549,0.01154841,0.00001915023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.193207,0.002430017,0.02857254,0.1620645,0.001281103,0.0001105793,0.0003080568,0.0001127743,0.6119135],"genre_scores_gemma":[0.9882619,0.0002305319,0.001489789,0.004719538,0.0004614397,0.00003707876,0.00001593901,0.00003227603,0.004751557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9957819,"threshold_uncertainty_score":0.1083081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512428486119227,"score_gpt":0.3971346639542181,"score_spread":0.3620103790930259,"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."}}