{"id":"W4405157183","doi":"10.1017/dap.2024.60","title":"Responsible artificial intelligence in Africa: towards policy learning","year":2024,"lang":"en","type":"article","venue":"Data & Policy","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Policy learning; Artificial intelligence; Computer science; Psychology; Political science; Machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003467238,0.0001243932,0.0001705398,0.0006028007,0.0004809186,0.0008304527,0.0009680438,0.0002097959,0.0001277233],"category_scores_gemma":[0.01343243,0.0001273195,0.00004803952,0.002401279,0.0004001404,0.001011916,0.0004194884,0.0007074841,0.0003379121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003228253,"about_ca_system_score_gemma":0.005571804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1358915,"about_ca_topic_score_gemma":0.02009932,"domain_scores_codex":[0.997745,0.0004248316,0.000283242,0.0003879716,0.000473855,0.0006851271],"domain_scores_gemma":[0.998799,0.0004533556,0.00004070353,0.0004199939,0.00007931371,0.0002076225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009049939,0.00002247553,0.00002016661,0.00001100032,0.00000822083,0.00002262706,0.04496165,0.000009465841,0.00007589894,0.8080531,0.002600761,0.1442056],"study_design_scores_gemma":[0.00001934105,0.0000362145,0.0002267453,0.0000689681,0.000006512398,8.365147e-7,0.009085577,0.0009149097,0.00006249325,0.3568009,0.6325861,0.0001914048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01617361,0.001400901,0.0007954717,0.4506536,0.0008188191,0.0004271596,0.0004809349,0.0005689967,0.5286806],"genre_scores_gemma":[0.9901403,0.001265978,0.0004393517,0.0008353409,0.003294531,0.000006073317,0.0000728749,0.00002462169,0.003920996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9739666,"threshold_uncertainty_score":0.9977813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2539830679069435,"score_gpt":0.4944063479960691,"score_spread":0.2404232800891256,"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."}}