{"id":"W4399542351","doi":"10.1007/s41649-024-00292-7","title":"Scoping Review Shows the Dynamics and Complexities Inherent to the Notion of “Responsibility” in Artificial Intelligence within the Healthcare Context","year":2024,"lang":"en","type":"article","venue":"Asian Bioethics Review","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Rimouski; McGill University; Université du Québec à Rimouski; McGill University and Génome Québec Innovation Centre","funders":"Université du Québec à Rimouski","keywords":"Social responsibility; Terminology; Health care; Software deployment; Engineering ethics; Variety (cybernetics); Context (archaeology); Transparency (behavior); Professional responsibility; Stakeholder; Moral responsibility; Sociology; Knowledge management; Political science; Public relations; Computer science; Artificial intelligence; Engineering; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04764522,0.0009336678,0.002763129,0.01011974,0.002175629,0.01094648,0.002981843,0.005505657,0.002379942],"category_scores_gemma":[0.1185713,0.0005890738,0.002309045,0.01269715,0.01067902,0.01142616,0.004835558,0.007973626,0.0005505662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006105358,"about_ca_system_score_gemma":0.03136555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008223422,"about_ca_topic_score_gemma":0.01501744,"domain_scores_codex":[0.9705361,0.01545541,0.005005383,0.001780292,0.0064383,0.0007845481],"domain_scores_gemma":[0.7035055,0.2714931,0.006970491,0.003634127,0.01337628,0.001020551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008927795,0.00005653499,0.001639299,0.09410366,0.000764132,0.0006843791,0.01120548,0.001242214,0.0005588793,0.3951187,0.03236854,0.462169],"study_design_scores_gemma":[0.00002272803,0.00008186341,0.002260952,0.309727,0.0008591702,0.0009658777,0.009254029,0.0004317932,0.0004187709,0.1481464,0.5277386,0.00009280702],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001245419,0.9314917,0.006882971,0.04604211,0.002486474,0.00005791644,0.0000658051,0.0000212473,0.01170633],"genre_scores_gemma":[0.03677196,0.9375316,0.00532365,0.01698445,0.001890641,0.0002264197,0.00009539533,0.00004226914,0.001133692],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04764522,"threshold_uncertainty_score":0.2519751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.415128266206898,"score_gpt":0.521046442376056,"score_spread":0.105918176169158,"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."}}