{"id":"W4293318096","doi":"10.29173/irie482","title":"Forgotten African AI Narratives and the future of AI in Africa","year":2022,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Narrative; History; Literature; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01083778,0.0003930494,0.0003527573,0.002262784,0.01060537,0.01113982,0.0008324518,0.002915036,0.004298273],"category_scores_gemma":[0.01449544,0.0003192663,0.0002280605,0.002862462,0.02826329,0.01813106,0.006182411,0.004067645,0.000419096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006716382,"about_ca_system_score_gemma":0.004773695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003204836,"about_ca_topic_score_gemma":0.003775954,"domain_scores_codex":[0.9950886,0.003521026,0.0001707266,0.000210266,0.000387019,0.0006223723],"domain_scores_gemma":[0.9842079,0.0129401,0.001149719,0.000522087,0.0005706673,0.0006094637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004067602,0.00001109666,0.0007634435,0.0003222413,0.000006125076,0.000789677,0.3548413,0.0001767914,0.0003624864,0.6191055,0.003753136,0.01982754],"study_design_scores_gemma":[0.00001108988,0.00002020748,0.001609561,0.002318293,0.00001237425,0.0008296683,0.3879919,0.0003943885,0.0007056018,0.2146288,0.391451,0.00002713099],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3774602,0.06797443,0.01273219,0.2138484,0.001025379,0.00009923575,0.0001702816,0.00004403178,0.3266459],"genre_scores_gemma":[0.9750099,0.01532265,0.001623837,0.00255055,0.0001189608,0.00004352121,0.00003162581,0.00002414704,0.005274904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9893946,"threshold_uncertainty_score":0.05731636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657396420315988,"score_gpt":0.2871689547632862,"score_spread":0.2605949905601263,"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."}}