{"id":"W4390870100","doi":"","title":"Incremental AI Risks from Proxy-Simulations","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Proxy (statistics); Computer science; Econometrics; Economics; Machine learning","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":[0.004178443,0.001453807,0.0008311752,0.0008738392,0.0009762057,0.00390917,0.002288436,0.002065544,0.01020864],"category_scores_gemma":[0.0379955,0.0007713627,0.0008656836,0.000616521,0.003199743,0.00595474,0.008953508,0.003491431,0.001284119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600438,"about_ca_system_score_gemma":0.002177055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824794,"about_ca_topic_score_gemma":0.00163584,"domain_scores_codex":[0.9957467,0.001996363,0.0002072357,0.0004361528,0.00124515,0.0003683793],"domain_scores_gemma":[0.9775858,0.01337868,0.001264762,0.005950812,0.001107441,0.0007124248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003052261,0.00008606335,0.002865869,0.0001706891,0.00004790567,0.0004011483,0.0005163673,0.6190228,0.001977478,0.3325675,0.002247704,0.03979141],"study_design_scores_gemma":[0.00002587736,0.00007898764,0.0001995543,0.00008267506,0.00002519774,0.0001222823,0.0001112438,0.7605889,0.00253286,0.2265203,0.009683427,0.00002859322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06815048,0.0006044206,0.8817195,0.002105366,0.0001902052,0.0002184554,0.0002599086,0.002323285,0.04442829],"genre_scores_gemma":[0.8149745,0.0005666957,0.1762462,0.0002459768,0.00006462059,0.0002428495,0.0003153319,0.000439367,0.006904461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01020864,"threshold_uncertainty_score":0.03415132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08069084968957087,"score_gpt":0.3636083355463455,"score_spread":0.2829174858567747,"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."}}