{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007927493,0.00006987277,0.00008561164,0.0000732752,0.00009886211,0.0001527661,0.0001978935,0.00001869606,0.00002371119],"category_scores_gemma":[0.000006875298,0.00004560623,0.00001579118,0.0003633271,0.00002307214,0.0003175313,0.00003934343,0.00006485587,0.0001666252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000010094,"about_ca_system_score_gemma":0.00002668281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006745396,"about_ca_topic_score_gemma":0.0001214586,"domain_scores_codex":[0.9994593,0.00001973336,0.00008683909,0.0002037564,0.00008245485,0.0001478962],"domain_scores_gemma":[0.9996384,0.00004621678,0.00001832598,0.0001943546,0.00003784358,0.00006488355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001099424,0.00009974626,0.02195075,0.00012212,0.00007059,0.00009229452,0.00789672,0.0002247591,0.0002785091,0.9180847,0.03002195,0.02114689],"study_design_scores_gemma":[0.001792024,0.0007054239,0.07543749,0.0002759796,0.00004842977,0.0004979445,0.002241844,0.694011,0.0007089931,0.004656812,0.2185869,0.001037105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03776165,0.0002382524,0.7307974,0.001729009,0.0009400198,0.0002282366,0.000002527738,0.001194683,0.2271083],"genre_scores_gemma":[0.986977,0.00002269707,0.0008395156,0.00007097347,0.00004244904,0.00001837724,0.000001257124,0.000004038649,0.01202373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9492153,"threshold_uncertainty_score":0.2141685,"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."}}