{"id":"W4411188359","doi":"10.3390/systems13060455","title":"Privacy Ethics Alignment in AI: A Stakeholder-Centric Framework for Ethical AI","year":2025,"lang":"en","type":"article","venue":"Systems","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"Office of the Privacy Commissioner of Canada","keywords":"Transparency (behavior); Stakeholder; Autonomy; Public relations; Agency (philosophy); Grounded theory; Thematic analysis; Corporate governance; Knowledge management; Political science; Internet privacy; Sociology; Qualitative research; Business; Computer science","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":[0.03847386,0.0008908886,0.0005420116,0.004429385,0.007762335,0.01237597,0.002330659,0.004553398,0.00218029],"category_scores_gemma":[0.0261727,0.0005513025,0.0008428551,0.002804338,0.0527197,0.014234,0.0100812,0.00571518,0.0003935056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008763264,"about_ca_system_score_gemma":0.01371222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002745911,"about_ca_topic_score_gemma":0.002597034,"domain_scores_codex":[0.9476662,0.04345892,0.001497139,0.001959744,0.003781668,0.001636453],"domain_scores_gemma":[0.9742217,0.01619157,0.002610147,0.002347166,0.002791652,0.001837728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000112047,0.00004112089,0.001625812,0.00009896227,0.00001232252,0.0001810868,0.05656635,0.000676765,0.0003527645,0.9322403,0.0004505638,0.007742703],"study_design_scores_gemma":[0.00001551514,0.00004419604,0.001162908,0.0004044583,0.00001822915,0.0003653406,0.04406186,0.003540755,0.000620364,0.9095143,0.04022381,0.00002812421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07449671,0.001476474,0.6752829,0.05484777,0.0003337969,0.0008741309,0.0000983452,0.0001561062,0.1924337],"genre_scores_gemma":[0.9036273,0.0005009588,0.09096792,0.001842505,0.00006195471,0.0005607237,0.00005537475,0.00004246507,0.002340795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03847386,"threshold_uncertainty_score":0.2034717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042611458865712,"score_gpt":0.396475241383762,"score_spread":0.2922140954971908,"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."}}