{"id":"W4391304280","doi":"10.2196/55368","title":"Proposing a Principle-Based Approach for Teaching AI Ethics in Medical Education","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beneficence; Engineering ethics; Medical ethics; Autonomy; Context (archaeology); Information ethics; Bioethics; Economic Justice; Informed consent; Applied ethics; Medicine; Political science; Alternative medicine; Engineering; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003258378,0.0001808245,0.0002535142,0.0004384512,0.0001856858,0.00007565023,0.0001703017,0.0007277994,0.0003770391],"category_scores_gemma":[0.01177506,0.0001576292,0.0001040134,0.0004808436,0.0001673755,0.0001885478,0.00002048442,0.00208802,0.00003184636],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006569949,"about_ca_system_score_gemma":0.05383204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005587272,"about_ca_topic_score_gemma":0.00008541596,"domain_scores_codex":[0.9969808,0.0002299085,0.0007393323,0.0005198759,0.001158147,0.0003718826],"domain_scores_gemma":[0.9980567,0.0005964116,0.0000755708,0.000291224,0.0003232607,0.0006568556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000158436,0.0042786,0.006105466,0.004402053,0.00001775567,0.00000453455,0.01331173,0.00001155215,0.0000710383,0.02777299,0.01849579,0.92537],"study_design_scores_gemma":[0.0005565134,0.0008641541,0.004113809,0.01616415,0.0001692006,0.0003540178,0.01643478,0.5690827,0.001554105,0.01119115,0.3786682,0.0008472009],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3952965,0.002573322,0.1001202,0.4831819,0.007731453,0.005655899,0.00000358875,0.0004447398,0.004992397],"genre_scores_gemma":[0.9626778,0.00004513032,0.007558849,0.02323834,0.002944224,0.002306585,0.0004965573,0.00004698752,0.0006854742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9245229,"threshold_uncertainty_score":0.9965492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207095552867649,"score_gpt":0.5414439157913459,"score_spread":0.420734360504581,"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."}}