{"id":"W3145418495","doi":"10.29242/rli.299","title":"Ethics of Artificial Intelligence","year":2019,"lang":"en","type":"paratext","venue":"Research Library Issues","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Vector Institute","funders":"","keywords":"Artificial intelligence; Computer science","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":[0.01223389,0.0004188037,0.0003675917,0.001022864,0.005794093,0.01107791,0.0009767727,0.00745795,0.008969935],"category_scores_gemma":[0.0156975,0.0002123833,0.0004524118,0.0007384694,0.02742076,0.007354945,0.004162451,0.007072948,0.002248239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005112701,"about_ca_system_score_gemma":0.005891982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004062491,"about_ca_topic_score_gemma":0.003670294,"domain_scores_codex":[0.9802461,0.0125751,0.0005823083,0.001346802,0.004215581,0.001034194],"domain_scores_gemma":[0.9905889,0.005903985,0.000478506,0.001228741,0.001418182,0.0003816009],"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":[0.000001532447,0.00000232821,0.00005183117,0.00000928008,0.00000106002,0.00001010979,0.0006550683,0.00003119837,0.00001439433,0.9914126,0.005916461,0.001893928],"study_design_scores_gemma":[0.000002719234,0.00000513506,0.0001444683,0.00008941328,0.000001693597,0.00005525445,0.0009137897,0.000136202,0.0000759972,0.6492487,0.3493215,0.000005279569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.002973168,0.007749295,0.00913991,0.2317103,0.001850361,0.00004215224,0.00007899311,0.00002821815,0.7464276],"genre_scores_gemma":[0.5633916,0.009959761,0.01038862,0.1485236,0.006793093,0.0004776959,0.0001783328,0.0001531981,0.2601342],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01223389,"threshold_uncertainty_score":0.06469971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.38565561199329,"score_gpt":0.5654874782234174,"score_spread":0.1798318662301274,"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."}}