{"id":"W4405370651","doi":"10.2139/ssrn.5054351","title":"AI’s Epistemological And Regulatory Challenges: Unpacking The Law And Political Economy Of Artificial Intelligence","year":2024,"lang":"en","type":"preprint","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":"McGill University","funders":"","keywords":"Unpacking; Politics; Political science; Sociology; Epistemology; Law; Philosophy","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":[0.02242899,0.0006113429,0.001096311,0.005074983,0.006042654,0.01913565,0.002211136,0.01074391,0.006277034],"category_scores_gemma":[0.04280025,0.0008983253,0.0006894246,0.004179387,0.07940436,0.03484576,0.006429287,0.01207894,0.000785538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006682278,"about_ca_system_score_gemma":0.01039091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004451819,"about_ca_topic_score_gemma":0.005039156,"domain_scores_codex":[0.9867195,0.009108048,0.0003576958,0.000756312,0.002373225,0.0006851953],"domain_scores_gemma":[0.9359267,0.05400183,0.002280578,0.00316768,0.003343833,0.001279356],"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":[0.000003280821,0.000008800571,0.0000989715,0.00001542929,0.000002846694,0.00001040418,0.000500192,0.0002793594,0.00002117206,0.9962494,0.0006770295,0.002133016],"study_design_scores_gemma":[0.000002789528,0.000001710465,0.00008929637,0.00003274704,0.000001664876,0.000008953884,0.0004201575,0.0006699904,0.00002910175,0.9931084,0.005631694,0.000003495484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.04040879,0.01450673,0.1219776,0.493591,0.00167671,0.00006741423,0.0001374711,0.0000956734,0.3275387],"genre_scores_gemma":[0.9515935,0.005320068,0.02167933,0.01057095,0.002724263,0.0002012088,0.000059635,0.0001584164,0.007692587],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02242899,"threshold_uncertainty_score":0.1186172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06725272845407668,"score_gpt":0.3663227555073561,"score_spread":0.2990700270532795,"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."}}