{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002628332,0.00004941053,0.00005583683,0.00008497112,0.001537672,0.0008808934,0.0003427586,0.00004886946,0.0001017129],"category_scores_gemma":[0.001630123,0.00004646901,0.00003501546,0.001132865,0.001378292,0.001119333,0.00005276757,0.0001478842,0.0001279109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259801,"about_ca_system_score_gemma":0.0008820145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002728387,"about_ca_topic_score_gemma":0.0004352059,"domain_scores_codex":[0.998486,0.00004059268,0.0001038914,0.0002390568,0.0007440427,0.0003864025],"domain_scores_gemma":[0.9994547,0.0001096212,0.00002093351,0.0001033532,0.0001509622,0.000160414],"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":[0.000001625586,0.00001083563,0.00009604621,0.00000723793,0.000002219245,0.000007750968,0.03789341,0.00002799662,0.01159604,0.8069286,0.0004826763,0.1429456],"study_design_scores_gemma":[0.00007449093,0.00006481745,0.004613847,0.0002056195,0.00001089681,0.000001092213,0.01916154,0.002726958,0.006693257,0.6345358,0.3314754,0.0004362474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.67642,0.0002627001,0.0001813109,0.01820521,0.00296062,0.0001531819,0.000002522508,0.0002836437,0.3015308],"genre_scores_gemma":[0.9961897,0.00003474654,0.0005564757,0.0003323507,0.0003461151,0.000002089582,2.257125e-7,0.000004689951,0.002533604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3309927,"threshold_uncertainty_score":0.9997622,"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."}}