{"id":"W7117159429","doi":"10.22364/jull.19.03","title":"Integrating Ethical Principles and Human Rights Based Approach in the EU Artificial Intelligence Act and the Council of Europe Convention on Artificial Intelligence: Interplay of Ethics and Law in the AI Regulation Debate","year":2025,"lang":"en","type":"article","venue":"JOURNAL OF THE UNIVERSITY OF LATVIA LAW","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for International Governance Innovation","funders":"European Commission","keywords":"Convention; Human rights; Democracy; Rule of law; Enforcement; Applications of artificial intelligence","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":[0.06288395,0.000823055,0.001275583,0.002843227,0.008982079,0.029092,0.002659527,0.03407757,0.001823612],"category_scores_gemma":[0.07132076,0.0006703904,0.001453303,0.002778539,0.04310817,0.01266704,0.009776122,0.01960696,0.0004808852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01476679,"about_ca_system_score_gemma":0.02876094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01309799,"about_ca_topic_score_gemma":0.01066307,"domain_scores_codex":[0.8927844,0.06331167,0.005373531,0.006932405,0.02636085,0.005237188],"domain_scores_gemma":[0.9389709,0.04292046,0.003315008,0.00469017,0.007684558,0.00241881],"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":[0.00000515045,0.00001187394,0.00009263709,0.00001742137,0.000003022249,0.00005049023,0.001459353,0.0002218993,0.00004437813,0.9927343,0.002586566,0.002772832],"study_design_scores_gemma":[0.00002834951,0.0000477157,0.0009341539,0.0008711548,0.00002091111,0.0001698257,0.002482232,0.001637151,0.0004674617,0.701759,0.2914627,0.0001193265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04086953,0.02025996,0.05687916,0.3481422,0.005443279,0.0003230754,0.0001423816,0.0001221183,0.5278183],"genre_scores_gemma":[0.7931924,0.005039417,0.04670651,0.1093095,0.002282334,0.00078833,0.0001423013,0.0001546492,0.04238449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06288395,"threshold_uncertainty_score":0.3325661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107947373492593,"score_gpt":0.3539994479673509,"score_spread":0.2460520744747579,"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."}}