{"id":"W4415230755","doi":"10.1609/aies.v8i2.36642","title":"AI Governance in the Context of the EU AI Act (Extended Abstract)","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","topic":"Digitalization, Law, and Regulation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"Korea Institute of Public Administration; Korea Institute for Advancement of Technology; Ministry of Trade, Industry and Energy; Korea Railroad Research Institute; National Research Foundation","keywords":"Corporate governance; Context (archaeology); European union; Bibliometrics; Multi-level governance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002023836,0.0001154649,0.0001777513,0.0000126768,0.0006514009,0.0002066892,0.000931379,0.0002600431,0.00001389749],"category_scores_gemma":[0.001390496,0.00006346653,0.0001541439,0.0004395236,0.001182094,0.0002902328,0.0001409018,0.0003481643,1.726608e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004965032,"about_ca_system_score_gemma":0.0005205091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003997002,"about_ca_topic_score_gemma":0.001010043,"domain_scores_codex":[0.9986578,0.00005224159,0.0002800516,0.0001948364,0.000631062,0.0001840278],"domain_scores_gemma":[0.9984468,0.0003354722,0.0003053215,0.0001790948,0.0007084937,0.00002480274],"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":[0.000009113282,0.00005375204,0.005599381,0.00008069041,0.00001778506,1.362181e-8,0.04871292,0.000001901933,0.0002939308,0.932292,0.01169933,0.00123914],"study_design_scores_gemma":[0.000999085,0.00006824499,0.2022495,0.001492146,0.00008059109,6.376409e-7,0.07931241,0.00088246,0.003840307,0.6034664,0.1072545,0.0003537586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3807418,0.0001693534,0.00001879053,0.446503,0.0005010579,0.0009016547,0.00003058315,0.00003094098,0.1711028],"genre_scores_gemma":[0.9874313,0.0009412303,0.00001515713,0.009729586,0.00003713484,0.000008813125,7.484675e-7,0.000004848963,0.001831155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6066896,"threshold_uncertainty_score":0.5010116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03944675514847036,"score_gpt":0.3408008628883292,"score_spread":0.3013541077398589,"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."}}