{"id":"W3038680878","doi":"10.29173/irie383","title":"In A Different Code: Artificial Intelligence and The Ethics of Care","year":2020,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transparency (behavior); Accountability; Intersection (aeronautics); Engineering ethics; Political science; Ethics of technology; Applications of artificial intelligence; Sociology; Computer science; Information ethics; Artificial intelligence; Law; Engineering; Meta-ethics","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":[0.009827058,0.0005434433,0.0006561155,0.001847428,0.005172266,0.01187731,0.001553756,0.0109128,0.005948351],"category_scores_gemma":[0.02094298,0.0002555041,0.0006764244,0.001653208,0.05131198,0.01487804,0.005320445,0.012672,0.001239396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005463323,"about_ca_system_score_gemma":0.007586997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004959675,"about_ca_topic_score_gemma":0.004634991,"domain_scores_codex":[0.9874292,0.008712254,0.0003479557,0.0007984164,0.001950449,0.0007616777],"domain_scores_gemma":[0.9834332,0.01219789,0.0008338965,0.001076714,0.001638788,0.0008194513],"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":[0.000008682595,0.000006059591,0.00009734712,0.00003486295,0.000003092761,0.0000253639,0.001747908,0.00006276558,0.00002353983,0.9789203,0.01453154,0.004538632],"study_design_scores_gemma":[0.00001082872,0.00001605799,0.0002117703,0.0004340247,0.0000042901,0.00007864584,0.002479719,0.0001724814,0.00005401457,0.7735815,0.2229403,0.00001632852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004468871,0.04447388,0.02623394,0.7627354,0.008470679,0.00004964945,0.00007848282,0.00004664499,0.1534425],"genre_scores_gemma":[0.4458379,0.0461129,0.02303456,0.3761258,0.02080408,0.0004370359,0.0001427069,0.0002404315,0.08726452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01187731,"threshold_uncertainty_score":0.05197108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505260027124465,"score_gpt":0.4442394654200546,"score_spread":0.2937134627076081,"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."}}