{"id":"W4406207703","doi":"10.2139/ssrn.5015632","title":"Artificial Intelligence: Its potential and ethics in the practice of public participation","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Creativity; Engineering ethics; Democracy; Political science; Ethical issues; Public relations; Management science; Sociology; Knowledge management; Psychology; Engineering; Computer science; Social psychology","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":[0.03780096,0.0004427341,0.0009082404,0.002330744,0.006354809,0.01579958,0.001828679,0.01215699,0.004524053],"category_scores_gemma":[0.04906914,0.0005105345,0.000517616,0.002148224,0.079488,0.01274453,0.007335483,0.009157292,0.0004920569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00540127,"about_ca_system_score_gemma":0.009864525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002824584,"about_ca_topic_score_gemma":0.003139793,"domain_scores_codex":[0.9523288,0.03890406,0.0008395835,0.001382069,0.005114715,0.001430825],"domain_scores_gemma":[0.8969819,0.08639038,0.0033422,0.006103615,0.00436031,0.002821604],"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":[0.00001028104,0.00001702052,0.0003920975,0.00003900963,0.00000628086,0.00003138846,0.001769957,0.0002750145,0.00003981022,0.9924791,0.0009677769,0.003972358],"study_design_scores_gemma":[0.00000981527,0.000017615,0.0003624727,0.0001407237,0.000004292704,0.00005449074,0.001713264,0.0008344392,0.00006974218,0.9767655,0.02001679,0.00001094183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0423438,0.01830644,0.04685761,0.3324884,0.001262705,0.000108411,0.00007040513,0.0000565335,0.5585058],"genre_scores_gemma":[0.9770175,0.003023667,0.005496053,0.006766305,0.001115702,0.0001596487,0.00001308401,0.00003803274,0.006370109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03780096,"threshold_uncertainty_score":0.199913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08764578320445546,"score_gpt":0.450537991147224,"score_spread":0.3628922079427686,"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."}}