{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01265621,0.0004938909,0.0007129319,0.001484474,0.009626826,0.01285052,0.001539088,0.01012151,0.006897414],"category_scores_gemma":[0.01170727,0.000381291,0.0007065457,0.001077348,0.06872559,0.01400994,0.006093618,0.01213285,0.00192358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008234033,"about_ca_system_score_gemma":0.0114215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01611254,"about_ca_topic_score_gemma":0.008118721,"domain_scores_codex":[0.985756,0.007942121,0.0005271057,0.001785612,0.002800878,0.001188272],"domain_scores_gemma":[0.9913896,0.004444807,0.0004962798,0.001228112,0.001614298,0.000826986],"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":[8.688288e-7,0.000001250032,0.00001535601,0.000003659804,5.089076e-7,0.000005377045,0.0005253692,0.00002199802,0.000009096712,0.9976871,0.00105838,0.0006711009],"study_design_scores_gemma":[0.000004921963,0.000008402466,0.00007232662,0.00007269659,0.000003326748,0.00004718445,0.0004899938,0.0002296565,0.00005781639,0.8299378,0.1690678,0.000007974512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005711012,0.008051522,0.0330524,0.135467,0.001585819,0.00006334818,0.0000764014,0.00009410825,0.8158984],"genre_scores_gemma":[0.7778999,0.008702979,0.03002622,0.0530275,0.003226838,0.0003800252,0.0001464986,0.0001917035,0.1263984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01611254,"threshold_uncertainty_score":0.06693327,"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."}}