{"id":"W7124249345","doi":"10.65109/vxry1082","title":"Epistemic Side Effects: An AI Safety Problem","year":2023,"lang":"","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute","funders":"","keywords":"Focus (optics); Great Rift; Side effect (computer science); Far side of the Moon; Key (lock); Demand side","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":[0.0172516,0.0009745748,0.001054671,0.001115474,0.002501718,0.003655224,0.002329357,0.006010326,0.006782867],"category_scores_gemma":[0.06424488,0.0006647703,0.001382385,0.0006362218,0.01196977,0.009743808,0.005030127,0.008951523,0.000807883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282968,"about_ca_system_score_gemma":0.003031453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411093,"about_ca_topic_score_gemma":0.001064602,"domain_scores_codex":[0.9837583,0.008594724,0.0008965863,0.001665624,0.004233299,0.0008515454],"domain_scores_gemma":[0.8614199,0.1094479,0.007491803,0.01062167,0.008947197,0.002071615],"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":[0.0001704122,0.0001513431,0.002322634,0.0003828767,0.00009917565,0.0009099556,0.001218333,0.01935084,0.00175027,0.9214386,0.00504245,0.04716312],"study_design_scores_gemma":[0.00004953933,0.00006167615,0.0003149354,0.00009307991,0.00004151326,0.0003769484,0.0003192196,0.0169143,0.0009877967,0.9732735,0.007542227,0.00002527838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05186054,0.002367337,0.7626684,0.06142984,0.0007741704,0.0003824068,0.0002515079,0.0004535035,0.1198123],"genre_scores_gemma":[0.8944058,0.001322197,0.08522515,0.005911385,0.000688467,0.0005019499,0.00009690569,0.0001780111,0.01167018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0172516,"threshold_uncertainty_score":0.09123623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285641502794626,"score_gpt":0.3794374735145436,"score_spread":0.3465810584865973,"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."}}