{"id":"W4388130431","doi":"10.14293/pr2199.000417.v1","title":"Analysis of Artificial Intelligence and Data Act based on ethical frameworks","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accountability; Transparency (behavior); Legislation; Harm; CLARITY; Scope (computer science); Business; Data Protection Act 1998; Audit; Computer security; Risk analysis (engineering); Computer science; Law; Political science; Accounting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04964377,0.0006749202,0.0005708258,0.004065746,0.008473793,0.01461432,0.001932208,0.006351521,0.004058848],"category_scores_gemma":[0.0889198,0.000573858,0.001364007,0.004233086,0.01438473,0.006201783,0.004774001,0.01131282,0.001058147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02459847,"about_ca_system_score_gemma":0.05741616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08460846,"about_ca_topic_score_gemma":0.06437645,"domain_scores_codex":[0.9107642,0.03030922,0.004420894,0.004200099,0.04261352,0.007692102],"domain_scores_gemma":[0.9012401,0.04730474,0.007589723,0.007393177,0.03340856,0.003063703],"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":[0.00000413863,0.00001583295,0.001167144,0.00002224113,0.000004207935,0.00007790336,0.001632068,0.0002836845,0.00004496848,0.9846314,0.008911708,0.003204666],"study_design_scores_gemma":[0.00002630766,0.00004190024,0.009213209,0.001004356,0.00005001052,0.0003516242,0.007914414,0.005002545,0.001056516,0.4607496,0.5144714,0.0001181261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03899414,0.003088368,0.05722409,0.08317444,0.001165184,0.001369638,0.001653042,0.0001662906,0.8131647],"genre_scores_gemma":[0.7909229,0.00287685,0.05020481,0.04263916,0.0006702166,0.002819825,0.001367083,0.000235335,0.1082637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08460846,"threshold_uncertainty_score":0.2625445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3254964252925872,"score_gpt":0.5077033876946182,"score_spread":0.182206962402031,"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."}}