{"id":"W4353005058","doi":"10.2139/ssrn.4387804","title":"Safety in Artificial Intelligence & Robotics Governance in Canada","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; University of British Columbia","funders":"","keywords":"Artificial intelligence; Robotics; Corporate governance; Computer science; Business; Robot; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002966435,0.0002395338,0.000550893,0.002024434,0.02093781,0.01228349,0.001796052,0.003212851,0.01619212],"category_scores_gemma":[0.0115195,0.0005029631,0.0003835385,0.004577098,0.009221326,0.002253907,0.003674787,0.004451453,0.0005888414],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.239925,"about_ca_system_score_gemma":0.4381004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978156,"about_ca_topic_score_gemma":0.998852,"domain_scores_codex":[0.9937502,0.0006378407,0.0001471179,0.00042063,0.001412588,0.003631601],"domain_scores_gemma":[0.9818178,0.002461419,0.0009050834,0.0003165606,0.006155905,0.008343169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002326563,0.000243559,0.100678,0.0002242262,0.00007817904,0.0008512877,0.01838507,0.005662782,0.0004134606,0.7028955,0.08284237,0.08749275],"study_design_scores_gemma":[0.0001542104,0.0001634593,0.3348016,0.0008441779,0.00007269981,0.0002745908,0.07995161,0.01019406,0.0007389036,0.06274243,0.5097609,0.0003014136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5458438,0.004224978,0.002552614,0.1623648,0.0004261932,0.0002012446,0.001426172,0.0001073268,0.2828529],"genre_scores_gemma":[0.9390912,0.001088715,0.0005284657,0.002831827,0.00003621174,0.00002879073,0.0001402866,0.00002754366,0.05622695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.760075,"threshold_uncertainty_score":0.8815793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04757344956123384,"score_gpt":0.3398030310164241,"score_spread":0.2922295814551902,"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."}}