{"id":"W4400281151","doi":"10.32473/flairs.37.1.135275","title":"Ethics of AI Explained","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ... International Florida Artificial Intelligence Research Society Conference","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Université du Québec à Trois-Rivières","keywords":"Information ethics; Applied ethics; Meta-ethics; Engineering ethics; Ethics of technology; Normative ethics; Psychology; Sociology; Epistemology; Philosophy; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002608428,0.0006954048,0.0002941321,0.0006705985,0.002899801,0.003795314,0.0009703235,0.003457959,0.08883912],"category_scores_gemma":[0.01001766,0.0003407617,0.0004176521,0.0006107256,0.002274326,0.00412039,0.003109897,0.005025626,0.02878623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002651942,"about_ca_system_score_gemma":0.004027025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765254,"about_ca_topic_score_gemma":0.00244652,"domain_scores_codex":[0.9975327,0.001299059,0.000111206,0.0001710521,0.0005205719,0.0003653429],"domain_scores_gemma":[0.9970673,0.001162697,0.0001430262,0.0001960001,0.001030131,0.000400883],"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":[0.00006969609,0.00005573693,0.0003088233,0.0003827966,0.000004087299,0.0002494041,0.01649242,0.0003698452,0.001032368,0.6458511,0.2852515,0.04993225],"study_design_scores_gemma":[0.00000349833,0.000009029372,0.00008031883,0.0001851166,9.923681e-7,0.0001600615,0.001239491,0.0001059401,0.000155921,0.01742819,0.9806245,0.000006998918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008109119,0.009225126,0.07225776,0.0958404,0.009396908,0.0009119249,0.001840218,0.001606732,0.8008118],"genre_scores_gemma":[0.1464132,0.01359098,0.06221642,0.029191,0.00185022,0.002495442,0.002388527,0.001913579,0.7399406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08883912,"threshold_uncertainty_score":0.2971964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3141774611558331,"score_gpt":0.5028181561763003,"score_spread":0.1886406950204673,"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."}}