{"id":"W7126425256","doi":"10.21428/594757db.9b7258a3","title":"From Control to Flourishing: Responsible Generative AI and the Limits of Meaningful Human Control","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":"University of Alberta","funders":"","keywords":"Flourishing; Control (management); Accountability; Generative grammar; Virtue ethics; Toolbox; Information ethics; Virtue","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03420617,0.0006395223,0.0007132235,0.00151157,0.005241069,0.01203577,0.002003381,0.00508307,0.003107803],"category_scores_gemma":[0.04153718,0.0005337381,0.0006870866,0.0006693297,0.08475239,0.01565302,0.01177798,0.007134194,0.000589024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00410615,"about_ca_system_score_gemma":0.005647727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969689,"about_ca_topic_score_gemma":0.001282231,"domain_scores_codex":[0.9711939,0.02035288,0.000714176,0.002268404,0.004085146,0.001385519],"domain_scores_gemma":[0.9414566,0.04161595,0.003062466,0.008413703,0.003239193,0.002212132],"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":[0.00001474354,0.00001521413,0.0004634647,0.00004316451,0.000008167475,0.00007357819,0.007065144,0.0007810119,0.0001867999,0.9831346,0.0007319023,0.007482225],"study_design_scores_gemma":[0.000008708255,0.00001442626,0.0001419516,0.00008454787,0.000003955013,0.00007115674,0.001626801,0.001235582,0.00025663,0.9823979,0.01414645,0.00001193765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09388483,0.009020022,0.4161361,0.1479381,0.0008787236,0.0001450275,0.00005707057,0.000470053,0.3314702],"genre_scores_gemma":[0.9728829,0.0009456254,0.01729718,0.00413282,0.0001850275,0.0001405583,0.00001799645,0.0001311051,0.004266815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03420617,"threshold_uncertainty_score":0.1809016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545753202947474,"score_gpt":0.391969269806048,"score_spread":0.3565117377765733,"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."}}