{"id":"W4323037855","doi":"10.1145/3545945.3569881","title":"Is More Better When Embedding Ethics in CS Courses?","year":2023,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Embedding; Curriculum; Engineering ethics; Class (philosophy); Computer science; Computer ethics; Applied ethics; Information ethics; Work (physics); Sociology; Meta-ethics; Pedagogy; Engineering; Artificial intelligence","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":[0.002862406,0.00007486503,0.0001220972,0.00009880872,0.0005476375,0.0002085628,0.000233777,0.0003905688,0.0006477094],"category_scores_gemma":[0.001591221,0.00007226739,0.00005758529,0.000436007,0.000286637,0.0003289305,0.00006197405,0.0007087747,0.000257382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007510534,"about_ca_system_score_gemma":0.000332071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01211989,"about_ca_topic_score_gemma":0.01395261,"domain_scores_codex":[0.9984934,0.0001641852,0.0001446815,0.0001627708,0.000610215,0.0004247317],"domain_scores_gemma":[0.9989061,0.0006664527,0.000037014,0.0001144893,0.0001546414,0.0001212805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002913387,0.00002661405,0.02200204,0.00001585898,0.000016325,0.00002811428,0.7080992,0.00001712815,0.00004827102,0.1289502,0.1385727,0.002220637],"study_design_scores_gemma":[0.0004510036,0.00003781349,0.02267116,0.0001196218,0.0000160389,2.539649e-7,0.2083358,0.0009406771,0.0001442107,0.421847,0.3448842,0.0005521299],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3142134,0.00001937741,0.00003024482,0.5201358,0.0003657917,0.000123669,0.000005393486,0.0001864369,0.1649199],"genre_scores_gemma":[0.9427667,0.0003368828,0.0004925273,0.03592773,0.0004118644,0.000005794665,0.000003985075,0.00001632771,0.02003824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6285533,"threshold_uncertainty_score":0.9944585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1665247493984017,"score_gpt":0.4907767768616422,"score_spread":0.3242520274632406,"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."}}