{"id":"W4415642938","doi":"10.5539/ilr.v14n1p192","title":"Constructing an Ethical Normative System for International Trade towards Trustworthy Artificial Intelligence","year":2025,"lang":"","type":"article","venue":"International Law Research","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Operationalization; Normative; Corporate governance; Risk governance; Safeguarding; Transformative learning; Software deployment; Stakeholder","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06859121,0.0009304344,0.0008572678,0.005401254,0.009047139,0.01876677,0.003756765,0.01066578,0.003327393],"category_scores_gemma":[0.054246,0.000818468,0.00117875,0.00196352,0.04388127,0.01682682,0.01000863,0.01196206,0.00104585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01031624,"about_ca_system_score_gemma":0.0274364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004702704,"about_ca_topic_score_gemma":0.005280284,"domain_scores_codex":[0.9559951,0.02466854,0.002736259,0.003350639,0.01112861,0.002120758],"domain_scores_gemma":[0.9605154,0.01641777,0.003555686,0.005374729,0.0121421,0.001994502],"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":[0.000001097034,0.00000924224,0.00006905663,0.000007357363,0.000001449074,0.00001801756,0.0006779825,0.0004651855,0.00004319839,0.9966164,0.0007352412,0.001355662],"study_design_scores_gemma":[0.000008560187,0.00001030152,0.00009606949,0.0001422275,0.000004337918,0.0000525528,0.001208534,0.004254687,0.000208139,0.9643245,0.02966493,0.00002512229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01734721,0.0006546396,0.607569,0.07915968,0.001269425,0.0007027395,0.0001117608,0.0003033282,0.2928823],"genre_scores_gemma":[0.5872442,0.0007074939,0.377408,0.01221451,0.0007391128,0.001936381,0.0001997062,0.0002362744,0.01931427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06859121,"threshold_uncertainty_score":0.3627493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2278202844677759,"score_gpt":0.5380000953531328,"score_spread":0.3101798108853568,"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."}}