{"id":"W3176172489","doi":"10.29173/irie269","title":"Information Ethics – A Position Paper","year":2004,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information ethics; Engineering ethics; Summit; Foundation (evidence); Perspective (graphical); Information society; Computer ethics; Sociology; Nursing ethics; Applied ethics; Meta-ethics; Epistemology; Political science; Computer science; Engineering; Philosophy; Law; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007777176,0.0006261852,0.0005668498,0.002139523,0.004282454,0.01284407,0.00100982,0.008831505,0.0121799],"category_scores_gemma":[0.007416896,0.0003361041,0.0004521868,0.002656241,0.007002887,0.01009109,0.003368674,0.008134345,0.004972137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006863514,"about_ca_system_score_gemma":0.006767655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798128,"about_ca_topic_score_gemma":0.001432517,"domain_scores_codex":[0.9952388,0.002128499,0.0002079199,0.0005898196,0.001454463,0.0003804895],"domain_scores_gemma":[0.9928004,0.003651072,0.0003700352,0.0005166889,0.001758522,0.0009032055],"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":[0.0000127881,0.00005844958,0.00008961828,0.0001267607,0.000004891851,0.00007836657,0.0006798726,0.0002258198,0.0001301564,0.7591813,0.2027969,0.03661507],"study_design_scores_gemma":[0.000004370641,0.00001948319,0.00007504891,0.000370027,0.000002081585,0.00006900221,0.0003463019,0.0001354124,0.00009848965,0.1114572,0.8874174,0.000005287266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002497079,0.1489379,0.009097727,0.4497957,0.04579162,0.00006821187,0.0001072755,0.00007645329,0.3436281],"genre_scores_gemma":[0.1568082,0.2154309,0.01095952,0.09182764,0.08158094,0.0002710535,0.0003539932,0.0003300307,0.4424376],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01284407,"threshold_uncertainty_score":0.04979855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05640155718982456,"score_gpt":0.4160297612009009,"score_spread":0.3596282040110764,"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."}}