{"id":"W4385213588","doi":"10.32920/23737446.v1","title":"Roboethics principles and policies in Europe and North America","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cogmation Robotics (Canada); Toronto Metropolitan University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robotics; Artificial intelligence; Government (linguistics); Humanity; Engineering ethics; Political science; Robot; Agile software development; Computer science; Management; Engineering; Law; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01124648,0.0003441295,0.0004641119,0.002874914,0.005646169,0.01093189,0.001403007,0.007664003,0.003467237],"category_scores_gemma":[0.01153709,0.0003113874,0.0006080852,0.002508479,0.01265286,0.004592726,0.003614271,0.003635239,0.0005400862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009251701,"about_ca_system_score_gemma":0.01401192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03996945,"about_ca_topic_score_gemma":0.02621807,"domain_scores_codex":[0.9895838,0.003790872,0.0007871885,0.00175915,0.002521171,0.001557794],"domain_scores_gemma":[0.9914201,0.003616084,0.001897547,0.0005068879,0.001773388,0.0007858924],"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":[0.00001995718,0.00005283763,0.001761451,0.00009077382,0.00001788779,0.0001338133,0.004023056,0.0007433071,0.0002086674,0.9520459,0.01305929,0.02784305],"study_design_scores_gemma":[0.0000205577,0.00004667602,0.01521653,0.001230041,0.00003201676,0.000292741,0.007286581,0.0006365177,0.0006907213,0.1485716,0.8258834,0.00009255559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08299768,0.04865164,0.007686377,0.1112531,0.00126257,0.00006748412,0.000219353,0.0001163331,0.7477454],"genre_scores_gemma":[0.8167996,0.02063762,0.01027576,0.07831255,0.0006635687,0.0004193437,0.0003038482,0.0001302929,0.07245736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9943538,"threshold_uncertainty_score":0.07947361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2143771384384085,"score_gpt":0.4115299340791934,"score_spread":0.1971527956407849,"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."}}