{"id":"W4411858488","doi":"10.1007/978-3-031-83512-4_12","title":"Understanding Artificial Intelligence as Persuasive Technologies in the Workplace: Improving Effectiveness, Ethicality, and Empowerment","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Empowerment; Psychology; Knowledge management; Computer science; Political science","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":[0.002821743,0.0004807223,0.0002697123,0.001060894,0.001433951,0.01034507,0.0008143104,0.002534199,0.005349991],"category_scores_gemma":[0.004233292,0.0001599433,0.0002234809,0.001125772,0.008190299,0.009399696,0.001696989,0.00372405,0.0007489806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874845,"about_ca_system_score_gemma":0.002989351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140651,"about_ca_topic_score_gemma":0.00207318,"domain_scores_codex":[0.9981851,0.001099894,0.00004021402,0.00009492147,0.0004925943,0.00008725408],"domain_scores_gemma":[0.9954353,0.003875273,0.0001728728,0.0001427495,0.0002611481,0.0001125485],"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":[0.000006346878,0.00003568266,0.0001313543,0.0001188278,0.000002957382,0.00003487512,0.005342656,0.0002777698,0.0002126804,0.945874,0.006476527,0.04148636],"study_design_scores_gemma":[0.000006668434,0.00002463699,0.000370156,0.0004810157,0.00000821422,0.0001038553,0.005625156,0.00111771,0.0006807033,0.7688718,0.2227004,0.000009698313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01487382,0.03817474,0.04066127,0.04805731,0.00112214,0.00006505589,0.00003341768,0.0001165021,0.8568957],"genre_scores_gemma":[0.632933,0.04970321,0.04916055,0.008501597,0.001335844,0.0003096294,0.0001068683,0.0001835601,0.2577657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01034507,"threshold_uncertainty_score":0.01789749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422025006964111,"score_gpt":0.4156841093291732,"score_spread":0.2734816086327621,"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."}}