{"id":"W4393928644","doi":"10.1126/science.adl0625","title":"Regulating advanced artificial agents","year":2024,"lang":"en","type":"article","venue":"Science","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Université de Montréal; University of Toronto; Mila - Quebec Artificial Intelligence Institute; Schwartz/Reisman Emergency Medicine Institute; Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Corporate governance; Computer science; Business; Finance","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":[0.02411294,0.0004311615,0.0003837616,0.0009302996,0.002194811,0.006415573,0.001946869,0.006811514,0.004664047],"category_scores_gemma":[0.04284592,0.0002398903,0.0004815012,0.0005583884,0.01021342,0.005446373,0.003625924,0.005761677,0.00108961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003623507,"about_ca_system_score_gemma":0.01013043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004285379,"about_ca_topic_score_gemma":0.005376631,"domain_scores_codex":[0.9826525,0.007930487,0.000677307,0.001926268,0.005345968,0.001467454],"domain_scores_gemma":[0.970377,0.01055139,0.00325021,0.004985411,0.008706734,0.002129276],"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":[0.000003300364,0.00001324129,0.0003276458,0.00001927485,0.000005252794,0.00001929218,0.0003174986,0.0006803617,0.0001985327,0.9877385,0.005759153,0.00491793],"study_design_scores_gemma":[0.00001447013,0.0000249011,0.000402003,0.000192977,0.000008466431,0.00003780395,0.0002790901,0.002313011,0.0003161329,0.8136558,0.1827373,0.00001801208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0304386,0.00330375,0.17593,0.1842919,0.002828507,0.0005749391,0.0001494344,0.0003869021,0.602096],"genre_scores_gemma":[0.8288204,0.001999624,0.04482109,0.04993637,0.001837014,0.0009476141,0.0001098336,0.0001084424,0.07141962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02411294,"threshold_uncertainty_score":0.1275229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09350396950533436,"score_gpt":0.4633830646239213,"score_spread":0.3698790951185869,"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."}}