{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01164932,0.0003146131,0.0004368446,0.0009856561,0.006451335,0.009024478,0.001178541,0.007325434,0.01617071],"category_scores_gemma":[0.03656987,0.0003286999,0.0003570179,0.001008694,0.04464172,0.01443872,0.004212765,0.004440552,0.001693611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002934296,"about_ca_system_score_gemma":0.002648901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003124415,"about_ca_topic_score_gemma":0.002425183,"domain_scores_codex":[0.9895642,0.007006678,0.0001450449,0.000682889,0.001753496,0.0008476116],"domain_scores_gemma":[0.9716926,0.01980593,0.001952813,0.00215495,0.002892145,0.001501403],"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":[0.00003128815,0.00003208757,0.0009521838,0.00002975726,0.000006984852,0.000118913,0.003498954,0.0001921974,0.0001472664,0.9803089,0.003753089,0.0109283],"study_design_scores_gemma":[0.00001530435,0.00003101007,0.001918061,0.0001384204,0.000007956226,0.0002908032,0.01370346,0.0007764216,0.0003751029,0.9252586,0.05746325,0.00002166574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08075152,0.003930995,0.01948269,0.2141398,0.0005177181,0.00004000731,0.00005923257,0.00004422307,0.6810338],"genre_scores_gemma":[0.9840496,0.000794697,0.00131938,0.003452678,0.0001668069,0.00004536746,0.00001240265,0.00002816511,0.0101309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01617071,"threshold_uncertainty_score":0.0616082,"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."}}