{"id":"W4396886716","doi":"10.1109/ieeeconf58110.2023.10520626","title":"Interactions with AI Systems: Trust and Transparency","year":2023,"lang":"en","type":"article","venue":"","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Transparency (behavior); Variety (cybernetics); Trusted Computing; Point (geometry); Training set; Information system; Artificial intelligence; Order (exchange); Data science; Computer security; Machine learning","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":[0.02608579,0.0009457709,0.001004116,0.001749141,0.004504371,0.01173998,0.002465572,0.006400818,0.004979025],"category_scores_gemma":[0.09166915,0.001657899,0.001492234,0.0009667045,0.01921327,0.02313792,0.01087056,0.008501912,0.0009518394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004650545,"about_ca_system_score_gemma":0.004322789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006675682,"about_ca_topic_score_gemma":0.002346289,"domain_scores_codex":[0.9543574,0.02928106,0.002307626,0.003339385,0.008357887,0.00235655],"domain_scores_gemma":[0.8572716,0.09229462,0.01314334,0.02450899,0.009207917,0.003573455],"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":[0.0001456393,0.00005949212,0.002692437,0.0001753452,0.0001170751,0.0005153475,0.01183325,0.01502623,0.001913762,0.9513817,0.001836411,0.01430327],"study_design_scores_gemma":[0.00006700182,0.00007514095,0.0007893201,0.0001459385,0.00005668698,0.0003399627,0.001428724,0.06807233,0.001896057,0.9100603,0.01698396,0.00008458135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05338098,0.0008051129,0.8736924,0.02319131,0.00016398,0.0002577775,0.0001486926,0.0008627425,0.047497],"genre_scores_gemma":[0.9355707,0.0003506943,0.05827902,0.001182683,0.0001380454,0.0002150436,0.0000888474,0.000232241,0.003942795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02608579,"threshold_uncertainty_score":0.1379564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928915303603836,"score_gpt":0.2533528984192731,"score_spread":0.2340637453832347,"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."}}