{"id":"W2010991338","doi":"10.1145/2701973.2714393","title":"The Emerging Policy and Ethics of Human Robot Interaction","year":2015,"lang":"en","type":"article","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Engineering ethics; Human–robot interaction; Multidisciplinary approach; Government (linguistics); Public relations; Discipline; Conversation; Sociology; Field (mathematics); Liability; Political science; Robot; Engineering; Computer science; Law; Artificial intelligence","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":[0.002503041,0.00002880813,0.00004891561,0.00002329918,0.0008207411,0.0001125798,0.0000864398,0.00009138577,0.000008000544],"category_scores_gemma":[0.003867648,0.00002021036,0.00001715676,0.0001012501,0.0003463083,0.0001918734,0.00003182157,0.0002404293,0.000001765594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004202291,"about_ca_system_score_gemma":0.0002917939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03918398,"about_ca_topic_score_gemma":0.03054261,"domain_scores_codex":[0.99933,0.0001752542,0.00008797403,0.0000462517,0.0002462449,0.000114213],"domain_scores_gemma":[0.9991015,0.0004282164,0.00005331579,0.00005348024,0.000276999,0.00008650272],"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":[0.000001677021,0.00000544964,0.0002368636,0.000001563447,0.000004759595,7.976294e-8,0.09876858,0.000001794276,0.0001463502,0.897953,0.0006859935,0.002193903],"study_design_scores_gemma":[0.0002280026,0.0001223264,0.001694671,0.00002706158,0.00001050805,3.248791e-7,0.253221,0.00003873869,0.0004634704,0.5767111,0.1673463,0.0001365801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1483258,0.00009380193,0.00007750362,0.1949812,0.0002807234,0.0000824873,4.124419e-7,0.00003192272,0.6561262],"genre_scores_gemma":[0.9955991,0.0002273644,0.00005415068,0.0005345396,0.0002785388,5.731474e-7,1.936354e-7,0.00000258862,0.003302952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8472733,"threshold_uncertainty_score":0.9871475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2410674797179322,"score_gpt":0.532300033291933,"score_spread":0.2912325535740008,"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."}}