{"id":"W3102634152","doi":"10.1007/s43681-020-00023-2","title":"If robots are people, can they be made for profit? Commercial implications of robot personhood","year":2020,"lang":"en","type":"article","venue":"AI and Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Personhood; Blueprint; Commercialization; Robot; Profit (economics); Computer science; Business; Engineering ethics; Artificial intelligence; Law and economics; Engineering management; Sociology; Engineering; Law; Economics; Political science; Marketing; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008655108,0.00009059328,0.0002054213,0.00001960918,0.001096693,0.00009922888,0.0002035323,0.0003878889,0.00001326713],"category_scores_gemma":[0.002422574,0.00008871296,0.00007923452,0.0001478295,0.0002924887,0.0001349941,0.00004666232,0.000634295,9.459661e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003014475,"about_ca_system_score_gemma":0.000674426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007083447,"about_ca_topic_score_gemma":0.05555774,"domain_scores_codex":[0.9989972,0.000149837,0.0001626344,0.0001717273,0.0002622725,0.0002563928],"domain_scores_gemma":[0.9984179,0.0006554208,0.0001180658,0.0000988539,0.0004817656,0.0002279977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001916746,0.00002093242,0.0228918,0.0001303338,0.0000371669,2.795038e-7,0.5995749,0.00003186776,0.0002498015,0.3710485,0.004575357,0.001419991],"study_design_scores_gemma":[0.001739115,0.0007489559,0.4025095,0.0001905343,0.0003217896,0.000001173048,0.2660103,0.0003708676,0.0003494768,0.2972935,0.0293812,0.001083621],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04656622,0.00008457658,0.0008721568,0.9485516,0.0001117919,0.0004132222,0.0001610081,0.00004112348,0.003198283],"genre_scores_gemma":[0.9753269,0.000473824,0.0003536458,0.02331706,0.0003643645,0.00001992434,0.00001457664,0.00001249074,0.0001171926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9287607,"threshold_uncertainty_score":0.9995285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1701621168946819,"score_gpt":0.4178023430701016,"score_spread":0.2476402261754197,"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."}}