{"id":"W4388666169","doi":"10.2139/ssrn.4604628","title":"On the use of artificial intelligence in financial regulations and the impact on financial stability","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"Economic and Social Research Council","keywords":"Financial stability; Macro; Finance; Robustness (evolution); Business; Financial crisis; Actuarial science; Economics; Computer science; Financial system; Macroeconomics","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":[0.007525467,0.0004830559,0.0007197322,0.001886782,0.0007856004,0.005491581,0.001017596,0.001875114,0.00747852],"category_scores_gemma":[0.03133103,0.0002278918,0.000833166,0.002940424,0.004969714,0.004364165,0.00179721,0.002524293,0.0005100063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909528,"about_ca_system_score_gemma":0.001107269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005297994,"about_ca_topic_score_gemma":0.003969147,"domain_scores_codex":[0.9958775,0.002767253,0.0001825671,0.000266396,0.0007229428,0.0001832751],"domain_scores_gemma":[0.9185125,0.07506969,0.002673398,0.001577707,0.001836546,0.0003301234],"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":[0.0002956466,0.0003040917,0.01551449,0.0004062924,0.0002801532,0.0002823913,0.0005810819,0.07960302,0.000458488,0.7882531,0.006198316,0.1078229],"study_design_scores_gemma":[0.00004425069,0.0001485562,0.01235512,0.0003781127,0.0001379781,0.00008521877,0.0005151283,0.07249562,0.0008710952,0.8980139,0.01489367,0.00006123554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3098751,0.06610129,0.1066906,0.06898294,0.001113198,0.00009150526,0.0005600458,0.0002774029,0.4463079],"genre_scores_gemma":[0.9711259,0.01676589,0.005144415,0.001233972,0.0006724242,0.00002929986,0.00008358512,0.00003776657,0.004906704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007525467,"threshold_uncertainty_score":0.03979897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04514879821295534,"score_gpt":0.2602761321577134,"score_spread":0.2151273339447581,"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."}}