{"id":"W7117997020","doi":"10.1007/978-3-032-02762-7_16","title":"(Re)Examining the Concept of Regulation in AI Governance: Modest Efforts in Africa","year":2025,"lang":"en","type":"book-chapter","venue":"Data science, machine intelligence, and law","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Distrust; Transformative learning; Corporate governance; Software deployment; Modalities; Work (physics); Financial regulation; Key (lock)","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":[0.002779253,0.000387718,0.0002150979,0.00145283,0.003353422,0.006405745,0.0006819727,0.002693383,0.004304719],"category_scores_gemma":[0.004654536,0.0001443655,0.0001992291,0.002702489,0.01335848,0.009294698,0.002111087,0.003453651,0.0006532902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004522316,"about_ca_system_score_gemma":0.007172571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02278931,"about_ca_topic_score_gemma":0.03627805,"domain_scores_codex":[0.9989433,0.0005441547,0.00002594663,0.0001210304,0.0002034322,0.0001622572],"domain_scores_gemma":[0.9976794,0.001793916,0.0001068675,0.0001343817,0.0002177071,0.00006761827],"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":[0.000004945055,0.00000684724,0.0001498193,0.00006303249,0.000001246555,0.00005079775,0.006616618,0.0001336972,0.0001171897,0.9576596,0.01282721,0.02236897],"study_design_scores_gemma":[0.000004970102,0.0000079633,0.0009689723,0.0007371306,0.000006507655,0.0001089736,0.007840312,0.0003537429,0.0005565937,0.2962578,0.6931478,0.000009252799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01962614,0.05054599,0.01596075,0.119055,0.001436481,0.00009557942,0.0001328654,0.00005360098,0.7930936],"genre_scores_gemma":[0.6079991,0.06414796,0.01458136,0.03777919,0.00128433,0.0002925617,0.0001412807,0.0001358266,0.2736384],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02278931,"threshold_uncertainty_score":0.0453133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07833704904147318,"score_gpt":0.3593212442012167,"score_spread":0.2809841951597436,"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."}}