{"id":"W4391536979","doi":"10.5539/ilr.v13n1p1","title":"Legal and Ethical Conundrums in the AI Era: A Multidisciplinary Analysis","year":2024,"lang":"en","type":"article","venue":"International Law Research","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Engineering ethics; Political science; Philosophy; Law; Engineering","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":[0.05477136,0.000691162,0.001173147,0.01357804,0.02483178,0.03002557,0.003315907,0.008899095,0.002583242],"category_scores_gemma":[0.04503328,0.0008351858,0.001111016,0.009991053,0.05700563,0.02555006,0.02037996,0.01013372,0.0002780381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01750116,"about_ca_system_score_gemma":0.01701788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003946023,"about_ca_topic_score_gemma":0.005581024,"domain_scores_codex":[0.9209925,0.06154507,0.002008281,0.002311995,0.01060973,0.002532327],"domain_scores_gemma":[0.9029648,0.081811,0.003800867,0.002374597,0.006329269,0.002719491],"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":[0.00001101507,0.00006412826,0.001548491,0.0002492085,0.00002402978,0.001028679,0.2518267,0.0006142493,0.0002051069,0.7222881,0.003702919,0.01843731],"study_design_scores_gemma":[0.000009436652,0.00003518468,0.002610886,0.001929051,0.00002954247,0.001062779,0.5240999,0.002757367,0.0002999744,0.3268861,0.1402176,0.00006211078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2441818,0.04435333,0.1123514,0.2576561,0.001662491,0.0007628218,0.0001484633,0.0001272003,0.3387564],"genre_scores_gemma":[0.9378683,0.01390501,0.0320104,0.008061347,0.0005279284,0.0004837897,0.00006453974,0.0001170541,0.00696157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05477136,"threshold_uncertainty_score":0.2896621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1211855724051751,"score_gpt":0.5519314862698196,"score_spread":0.4307459138646444,"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."}}