{"id":"W7090255397","doi":"10.1007/978-3-031-32257-0_72-1","title":"Artificial Intelligence and Diversity, Equity, and Inclusion","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Institute of Aging","funders":"","keywords":"Framing (construction); Inclusion (mineral); Applications of artificial intelligence; Intersection (aeronautics); Human intelligence","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":[0.002095651,0.0004148506,0.000468038,0.001196729,0.00316258,0.00829523,0.0006977315,0.00210184,0.009564895],"category_scores_gemma":[0.003673182,0.0001704724,0.0002012197,0.0019715,0.02281258,0.005583382,0.002784361,0.003114533,0.0007904997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00367267,"about_ca_system_score_gemma":0.002709925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003814175,"about_ca_topic_score_gemma":0.006037335,"domain_scores_codex":[0.9982026,0.001038693,0.00003651911,0.0001310892,0.0004426441,0.0001484387],"domain_scores_gemma":[0.9979149,0.001587667,0.00008640943,0.0001749992,0.0001503282,0.00008572898],"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":[0.0000012469,0.000003175193,0.00002788153,0.000008313974,7.276221e-7,0.000004673507,0.0004180266,0.00005130159,0.000009194983,0.9934042,0.002372532,0.003698756],"study_design_scores_gemma":[0.000001322665,0.000001998621,0.000106359,0.00004885963,9.154307e-7,0.00001788629,0.0004494831,0.0001031373,0.00003131466,0.9389979,0.06023885,0.000001880277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003838576,0.009992212,0.003557862,0.01066008,0.0002936551,0.00001702585,0.00002726928,0.0000121554,0.9716012],"genre_scores_gemma":[0.6585798,0.01865134,0.007636046,0.005488926,0.001660746,0.0002183113,0.0001118463,0.00009940625,0.3075535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009564895,"threshold_uncertainty_score":0.0319978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1599731146979937,"score_gpt":0.4044761493202418,"score_spread":0.2445030346222481,"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."}}