{"id":"W4388002357","doi":"10.1007/s10676-023-09728-4","title":"Generative AI models should include detection mechanisms as a condition for public release","year":2023,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Victoria University of Wellington; Natural Sciences and Engineering Research Council of Canada; European Commission; Open Philanthropy Project; Horizon 2020 Framework Programme; Canadian Institute for Advanced Research","keywords":"Generative grammar; Computer science; Conversation; Foundation (evidence); Mechanism (biology); Legislation; Generative model; Artificial intelligence; Risk analysis (engineering); Data science; Sociology; Law; Epistemology; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002637845,0.00008811798,0.0001202702,0.0004880422,0.002211794,0.0002924938,0.0001375282,0.001096302,0.00001491164],"category_scores_gemma":[0.005028694,0.0000914168,0.00003818174,0.0006883396,0.0003626836,0.003219683,0.00007083908,0.000900907,0.00003731556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008402814,"about_ca_system_score_gemma":0.0003970893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003134196,"about_ca_topic_score_gemma":0.0009430927,"domain_scores_codex":[0.9989423,0.0001032035,0.0002406052,0.0001100186,0.0003203309,0.0002835483],"domain_scores_gemma":[0.9984742,0.0003023531,0.0001424141,0.00009847759,0.0008923487,0.00009013719],"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":[0.00000572672,0.000004992462,9.886511e-7,0.00001509482,0.000009460078,1.818162e-7,0.01609856,0.00004032796,0.0002338038,0.9698631,0.0004534174,0.01327442],"study_design_scores_gemma":[0.000224104,0.0001340286,0.000004823799,0.000008445385,0.000006095852,8.170583e-7,0.01350142,0.01037868,0.002041301,0.9055747,0.06801733,0.0001082973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02844307,0.00003660916,0.3584964,0.5958685,0.0005647909,0.0009740055,0.00006677798,0.001094764,0.01445501],"genre_scores_gemma":[0.9891992,0.001036671,0.0007626358,0.00857327,0.00006101698,0.000127514,0.00006977302,0.000007237536,0.0001627279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9607561,"threshold_uncertainty_score":0.9990872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133909739959254,"score_gpt":0.4056049251793387,"score_spread":0.2922139511834133,"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."}}