{"id":"W4389318623","doi":"10.2139/ssrn.4652394","title":"Regulating Artificial Intelligence","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Artificial intelligence; Computer science","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":[0.005812954,0.0004801418,0.0003830494,0.001131655,0.003186733,0.006011309,0.0009867037,0.007669935,0.009871836],"category_scores_gemma":[0.01423248,0.0002520226,0.0004489719,0.0006894758,0.01458001,0.003316184,0.002742569,0.007334014,0.002029959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003492922,"about_ca_system_score_gemma":0.003407959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003404015,"about_ca_topic_score_gemma":0.003929328,"domain_scores_codex":[0.9942195,0.00287011,0.0001793629,0.0007148446,0.001525489,0.0004907356],"domain_scores_gemma":[0.9952627,0.002433134,0.0003461255,0.0008966064,0.000777523,0.0002839106],"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":[0.00000248888,0.000007168578,0.00006125453,0.000006799759,0.000001979669,0.00001108606,0.0002585724,0.00006423425,0.00005854448,0.9917744,0.005679548,0.002073859],"study_design_scores_gemma":[0.000008584594,0.00001126657,0.0002538069,0.0000833444,0.000005564839,0.00003295076,0.0002452138,0.0003089536,0.000265345,0.812342,0.1864345,0.000008406415],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.006046174,0.004205655,0.006653446,0.05708142,0.0014744,0.00005025801,0.00005468415,0.00005796585,0.924376],"genre_scores_gemma":[0.6110681,0.003511687,0.004425201,0.06309495,0.003268408,0.0003809928,0.000086049,0.0001409371,0.3140237],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.009871836,"threshold_uncertainty_score":0.03302461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06792537069762783,"score_gpt":0.3900604541053787,"score_spread":0.3221350834077508,"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."}}