{"id":"W3173476916","doi":"10.29173/irie422","title":"Artificial Intelligence, Ethics and International Human Rights Law","year":2021,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human rights; Dilemma; International law; Political science; Law; International human rights law; Engineering ethics; Law and economics; Sociology; Engineering; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02507943,0.0005291922,0.0008538915,0.002036818,0.004848199,0.01481622,0.001734129,0.01271024,0.005615232],"category_scores_gemma":[0.02792177,0.0003799361,0.0006136324,0.002923048,0.0473683,0.01081758,0.005576071,0.01200541,0.0009191056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005986135,"about_ca_system_score_gemma":0.009822123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004178879,"about_ca_topic_score_gemma":0.003373578,"domain_scores_codex":[0.9711893,0.01855881,0.001374295,0.002247813,0.004952233,0.001677574],"domain_scores_gemma":[0.9741465,0.01762894,0.002000148,0.002502268,0.002574139,0.001147911],"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":[0.000001383234,0.000003202533,0.00004551363,0.00001979447,0.000001574526,0.00001755942,0.0003790487,0.00004918129,0.00001116192,0.994648,0.00232811,0.002495523],"study_design_scores_gemma":[0.000005918061,0.00001099048,0.0002928823,0.0004590284,0.000004035467,0.00009075831,0.000750664,0.0001820812,0.00004324309,0.8584676,0.1396813,0.00001144468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.006242477,0.06808095,0.02318166,0.1862277,0.002072704,0.0001108444,0.00009628245,0.00004730895,0.7139401],"genre_scores_gemma":[0.7272341,0.07345634,0.02753949,0.1055455,0.007742536,0.0006927027,0.0002611503,0.0001114073,0.0574167],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02507943,"threshold_uncertainty_score":0.1326343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1679009296172064,"score_gpt":0.472875283374765,"score_spread":0.3049743537575587,"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."}}