{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003955764,0.0001234741,0.0002412936,0.0002596153,0.0005408687,0.0002460454,0.0005530465,0.001005738,0.00001427421],"category_scores_gemma":[0.007179887,0.0001233746,0.00006661195,0.001000075,0.0001236492,0.0001635286,0.0001729201,0.00135854,0.00002129525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003421504,"about_ca_system_score_gemma":0.0006305592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005404555,"about_ca_topic_score_gemma":0.001439526,"domain_scores_codex":[0.9974425,0.0008344422,0.0003812391,0.0003581828,0.0005388939,0.0004447016],"domain_scores_gemma":[0.9983186,0.0009160091,0.00009322447,0.0004258089,0.0001483937,0.00009798856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005258379,0.0001508733,0.002145328,0.000494885,0.00003015988,0.000003980685,0.02122484,0.00002363743,0.00005041307,0.9455233,0.02874639,0.001553594],"study_design_scores_gemma":[0.0005960749,0.00005101085,0.0004753823,0.0005513187,0.00001804513,5.923769e-7,0.005764606,0.0004357982,0.00007640348,0.2311335,0.7606925,0.0002048609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01323387,0.004351045,0.7002808,0.2574594,0.01081288,0.007151948,0.0001430095,0.0004463345,0.006120702],"genre_scores_gemma":[0.9945003,0.0003999098,0.0006885253,0.003258719,0.0003706691,0.0003569128,0.00001431644,0.0000109846,0.0003996833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9812664,"threshold_uncertainty_score":0.8595514,"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."}}