{"id":"W4414872680","doi":"10.1145/3736251.3747317","title":"An International Examination of Student Perceptions of the Ethics of Using Generative AI in CS Education","year":2025,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Generative grammar; Perception; Multinational corporation; International education; Ethical issues; Generative model","routes":{"ca_aff":true,"ca_fund":false,"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":[0.007112036,0.0002396581,0.0002102681,0.001207064,0.001613507,0.003369667,0.0003164212,0.0006841662,0.002720576],"category_scores_gemma":[0.01805695,0.0001881426,0.0003212276,0.000911043,0.002793991,0.001727207,0.002081206,0.001990946,0.0004135439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246977,"about_ca_system_score_gemma":0.001420879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002062617,"about_ca_topic_score_gemma":0.00357986,"domain_scores_codex":[0.9968183,0.00147249,0.0002503024,0.0002235906,0.0007511347,0.000484176],"domain_scores_gemma":[0.979458,0.008363246,0.004235181,0.0007647356,0.004310797,0.002868136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002424334,0.001200922,0.6735492,0.0001148723,0.00005167083,0.0002883426,0.2711408,0.0002858496,0.00421177,0.00281179,0.00160973,0.04449261],"study_design_scores_gemma":[0.0000189216,0.001194033,0.4054471,0.0001787236,0.00003070397,0.0004837177,0.5740882,0.001340513,0.002636194,0.001071365,0.01342141,0.00008911327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956548,0.00002180619,0.0001952422,0.0002814965,0.000008767189,0.00001478295,0.00001124153,0.000003335717,0.00380849],"genre_scores_gemma":[0.9990151,0.00004107205,0.0001313869,0.00009670501,0.000003325004,0.00001309147,0.00001471956,0.000003017132,0.0006815991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007112036,"threshold_uncertainty_score":0.0376125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064371690442312,"score_gpt":0.5358612221854405,"score_spread":0.4294240531412093,"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."}}