{"id":"W4411224223","doi":"10.1109/ccwc62904.2025.10903879","title":"Toward Ethical AI: A Qualitative Analysis of Stakeholder Perspectives","year":2025,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Stakeholder; Qualitative analysis; Computer science; Qualitative research; Engineering ethics; Management science; Data science; Sociology; Political science; Engineering; Social science; Public relations","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":[0.002529142,0.00006357268,0.0002761091,0.0004458135,0.000272087,0.00007999304,0.0001795679,0.0003041532,0.0005877368],"category_scores_gemma":[0.00367496,0.00005597418,0.0001980288,0.002820729,0.0008291979,0.0001340796,0.00003300463,0.0004334832,0.000003067916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006546266,"about_ca_system_score_gemma":0.000424778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01712706,"about_ca_topic_score_gemma":0.01269281,"domain_scores_codex":[0.9983597,0.0006884368,0.0001878569,0.0001641988,0.0004105894,0.0001892308],"domain_scores_gemma":[0.9977367,0.001203648,0.00005582734,0.000106694,0.0008236369,0.00007351671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004692888,0.00003005142,0.0002073718,0.000003233003,0.000424642,2.568769e-7,0.417056,0.000003625337,0.00001527248,0.5801998,0.001954724,0.0001003994],"study_design_scores_gemma":[0.00009589433,0.00002190794,0.003300298,0.000009087751,0.0002980041,3.331162e-9,0.8667418,0.00003203586,0.00004707848,0.1259583,0.003418608,0.00007698875],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08268104,0.0001873142,0.004271922,0.2534605,0.00009496189,0.0001375288,0.00001700489,0.0000568019,0.6590929],"genre_scores_gemma":[0.9907947,0.0002150707,0.0003951857,0.003358406,0.00002557416,0.000002843964,0.000001463985,0.000002333719,0.005204391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9081137,"threshold_uncertainty_score":0.989418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2223594852372162,"score_gpt":0.5363598308263009,"score_spread":0.3140003455890847,"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."}}