{"id":"W4402952825","doi":"10.48550/arxiv.2408.15550","title":"Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Calgary","keywords":"Trustworthiness; Computer science; Engineering ethics; Knowledge management; Computer security; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.05165064,0.001022175,0.001357872,0.00306756,0.00402876,0.01318008,0.002412071,0.005066547,0.004052946],"category_scores_gemma":[0.2031882,0.000848499,0.00133507,0.001902389,0.01809873,0.01230582,0.007499766,0.005747663,0.001057228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005795565,"about_ca_system_score_gemma":0.01276318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005136321,"about_ca_topic_score_gemma":0.003523911,"domain_scores_codex":[0.9402969,0.03983195,0.003804374,0.004022507,0.01081872,0.001225478],"domain_scores_gemma":[0.7754861,0.1646276,0.01368425,0.02640698,0.0164845,0.003310534],"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":[0.0001519298,0.0001279321,0.006643345,0.0009494066,0.000171071,0.0002137207,0.004563156,0.02052745,0.0007561862,0.8744039,0.004450389,0.08704158],"study_design_scores_gemma":[0.0000309684,0.00006123276,0.001005508,0.0005065911,0.00004271419,0.00009424373,0.0005644417,0.02638788,0.000767794,0.9579856,0.0125075,0.00004543876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04292002,0.008533469,0.8357707,0.0525643,0.0008706645,0.0006636938,0.0003110107,0.0008310522,0.05753504],"genre_scores_gemma":[0.7058328,0.003727632,0.2831578,0.002525468,0.0005586486,0.0006920005,0.0002659504,0.000220769,0.003018954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05165064,"threshold_uncertainty_score":0.273158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07787877275026817,"score_gpt":0.3029611420788595,"score_spread":0.2250823693285913,"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."}}