{"id":"W4214689568","doi":"10.4000/ethiquepublique.6551","title":"Vers une régulation néodarwinienne de l’Intelligence artificielle centrée sur le concept de l’« Ethics by Evolution »","year":2021,"lang":"fr","type":"article","venue":"Éthique Publique","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.01342872,0.0006821404,0.0005703502,0.001501558,0.001694218,0.008850027,0.001644648,0.00296601,0.004793799],"category_scores_gemma":[0.02340411,0.0005983528,0.0007208298,0.0009808583,0.01723472,0.008698073,0.00488105,0.005873599,0.001464049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004818047,"about_ca_system_score_gemma":0.005337033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004638258,"about_ca_topic_score_gemma":0.00275717,"domain_scores_codex":[0.9847555,0.007137147,0.0006868583,0.00258746,0.004232192,0.0006008994],"domain_scores_gemma":[0.9803026,0.009031659,0.001754685,0.004450431,0.003747347,0.000713293],"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":[0.0000411693,0.00003628936,0.001676257,0.000161617,0.00003009524,0.00008836368,0.004865928,0.002476738,0.003972272,0.9465993,0.00245867,0.03759329],"study_design_scores_gemma":[0.00004651695,0.000142075,0.003658203,0.0005417865,0.00003431489,0.0003375572,0.002387467,0.01325136,0.007374957,0.6638402,0.308279,0.0001065365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03801985,0.003543297,0.6449617,0.03551134,0.0006724519,0.0002275471,0.0001640252,0.0009056086,0.2759943],"genre_scores_gemma":[0.762554,0.002357526,0.1718464,0.006983355,0.0004226369,0.0008114213,0.0001996545,0.000732339,0.05409274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01342872,"threshold_uncertainty_score":0.0710187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257865558005581,"score_gpt":0.2712156442734057,"score_spread":0.2386369886933498,"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."}}