{"id":"W2963350144","doi":"10.1145/3322640.3326701","title":"AI as a Legal Person","year":2019,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Ideas: European Research Council; Universidad Carlos III de Madrid; Banco Santander","keywords":"Personhood; Ascription; Epistemology; Legal person; Order (exchange); Legal realism; Sociology; Political science; Law; Legal profession; Philosophy; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000482801,0.00003779621,0.00006311846,0.00001768319,0.0002549691,0.000213839,0.0001214207,0.000101963,0.004131669],"category_scores_gemma":[0.000224587,0.00003346433,0.00004662016,0.00008925251,0.00009092856,0.0004032066,0.00001074009,0.0001482149,0.001887109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003811223,"about_ca_system_score_gemma":0.0002783563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03352596,"about_ca_topic_score_gemma":0.004387946,"domain_scores_codex":[0.9993384,0.00005279308,0.00004132527,0.00008797055,0.0002807828,0.0001986954],"domain_scores_gemma":[0.9996498,0.00006367991,0.00001513882,0.00006891909,0.0001005049,0.0001020133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000211025,0.0000105473,0.000953614,0.000001317313,0.000004371022,0.0000013285,0.01710653,1.838502e-7,0.0001163852,0.9692153,0.01187319,0.0007150744],"study_design_scores_gemma":[0.0001698603,0.0000827008,0.001221924,0.000007367495,0.000004166129,3.213962e-7,0.04265858,0.00001024217,0.0001257709,0.02865275,0.9269204,0.0001459713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1844867,0.0000123236,0.000005983404,0.08118483,0.0002446295,0.00007102369,3.154495e-7,0.00004623185,0.733948],"genre_scores_gemma":[0.8381933,0.0000168685,0.00004504012,0.01120478,0.0001694127,6.641021e-7,3.142118e-7,0.000003522182,0.1503661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9405626,"threshold_uncertainty_score":0.99889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03505244785156453,"score_gpt":0.3909975343471114,"score_spread":0.3559450864955468,"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."}}