{"id":"W4405897668","doi":"10.1007/978-3-031-76827-9_7","title":"Realizing the Promise of AI Governance Involving Humans-in-the-Loop","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Women's and Gender Studies et Recherches Féministes","funders":"","keywords":"Computer science; Loop (graph theory); Corporate governance; Artificial intelligence; Operations research; Management; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004734352,0.0002386575,0.0003199831,0.0001452991,0.0007025973,0.0006875861,0.002251934,0.0003304982,0.00001736836],"category_scores_gemma":[0.0007365859,0.0001566313,0.0001280562,0.0006010059,0.002656719,0.0003620396,0.0003236585,0.001650166,0.000008135989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002944991,"about_ca_system_score_gemma":0.001109916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003048269,"about_ca_topic_score_gemma":0.02265927,"domain_scores_codex":[0.9970399,0.0001027248,0.000394317,0.0005466275,0.001413995,0.0005024299],"domain_scores_gemma":[0.9977229,0.00120433,0.0002335939,0.0005125973,0.00026118,0.0000653737],"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":[0.000003116849,0.00001473156,0.00007901646,0.00006707887,0.000007626452,0.00003521012,0.06360834,0.0006662906,0.00003783316,0.9105341,0.0001749941,0.02477163],"study_design_scores_gemma":[0.00008139273,0.00005755428,0.0001948661,0.001180854,0.00001472632,0.00000201262,0.00005469662,0.00150136,0.00005622505,0.9859208,0.0106452,0.0002902865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005087142,0.01915434,0.05928405,0.2239939,0.007885517,0.003979333,0.00005343533,0.0002521875,0.6803101],"genre_scores_gemma":[0.9857497,0.001282914,0.001886014,0.006759738,0.001377416,0.00001119185,0.000001583118,0.00003779345,0.002893707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9806625,"threshold_uncertainty_score":0.9951746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04140403173186847,"score_gpt":0.3371364276301086,"score_spread":0.2957323958982402,"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."}}