{"id":"W4396833643","doi":"10.1145/3613905.3643979","title":"Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence","year":2024,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nokia (Canada); Bell (Canada)","funders":"","keywords":"Generative grammar; Accountability; Engineering ethics; Sustainability; Artificial intelligence; Humanity; Applications of artificial intelligence; Computer science; Management science; Knowledge management; Sociology; Political science; Engineering; Law","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":[0.1533943,0.0008600795,0.0009966143,0.002709465,0.01113527,0.02484925,0.003989712,0.02228743,0.00623861],"category_scores_gemma":[0.2588404,0.001013734,0.001782862,0.003663174,0.07982932,0.02488221,0.01011613,0.02896228,0.00154034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02047197,"about_ca_system_score_gemma":0.03997032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935417,"about_ca_topic_score_gemma":0.01370778,"domain_scores_codex":[0.7586697,0.1683394,0.01187737,0.01029989,0.04458493,0.006228778],"domain_scores_gemma":[0.4244237,0.5023776,0.0137007,0.01621326,0.03807984,0.005204901],"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":[0.00001668864,0.00003056004,0.0002440477,0.0000696297,0.000003755257,0.00005186643,0.002390331,0.0002847596,0.00005731932,0.986468,0.006739625,0.003643372],"study_design_scores_gemma":[0.00005739298,0.0000598568,0.001235341,0.001696952,0.00002863303,0.0001425765,0.00847216,0.001317426,0.0008414876,0.8248299,0.1612102,0.0001080107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007750062,0.006082653,0.02024483,0.787708,0.002748295,0.0001631825,0.0001216118,0.0001007757,0.1750805],"genre_scores_gemma":[0.5530822,0.009888588,0.03707179,0.3698457,0.002343821,0.002556627,0.0001467055,0.0003345205,0.02472996],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1533943,"threshold_uncertainty_score":0.8112365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4240839371456813,"score_gpt":0.4924360487974901,"score_spread":0.06835211165180888,"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."}}