{"id":"W4390017236","doi":"10.2139/ssrn.4662761","title":"Universal Human Rights Framework and a Global Human Rights Based Approach: What a Regulatory Response to the Rapidly Advancing AI Technologies Should Be?","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Human rights; Political science; Law and economics; Business; Public administration; Economics; Law","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":[0.04484143,0.001184406,0.002038043,0.002676781,0.006104742,0.01574946,0.004829346,0.02617577,0.0117321],"category_scores_gemma":[0.04444667,0.0006781733,0.001611788,0.001924307,0.06811508,0.03026383,0.01077698,0.02375479,0.001275838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007846967,"about_ca_system_score_gemma":0.01634012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006439811,"about_ca_topic_score_gemma":0.004833397,"domain_scores_codex":[0.9645916,0.02211796,0.0009835089,0.003005668,0.005949559,0.003351674],"domain_scores_gemma":[0.9635736,0.02532034,0.00198173,0.00337074,0.003371038,0.002382643],"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":[0.000004638876,0.00001091076,0.00004190498,0.00002677857,0.000004820702,0.00001836712,0.0003547297,0.0001643932,0.00002895062,0.9950085,0.002232945,0.002103091],"study_design_scores_gemma":[0.00001080539,0.00001095846,0.0001280688,0.0001443896,0.000006487609,0.00002736725,0.0004973972,0.0002643524,0.00005992312,0.9796555,0.01918264,0.00001213266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009607022,0.007328882,0.05134055,0.6120061,0.003567993,0.0001086895,0.0001123766,0.0001519388,0.3157765],"genre_scores_gemma":[0.7404349,0.005450255,0.03594043,0.1778366,0.004829904,0.0006985433,0.0001418826,0.0002152119,0.03445228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04484143,"threshold_uncertainty_score":0.237147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815562909577417,"score_gpt":0.3500257048031347,"score_spread":0.3218700757073605,"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."}}