{"id":"W3176040021","doi":"10.1007/s10676-021-09599-7","title":"From human resources to human rights: Impact assessments for hiring algorithms","year":2021,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Accountability; Human rights; Audit; Algorithm; Law and economics; Public relations; Political science; Economics; Computer science; Law; Accounting","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":[0.04577059,0.001246192,0.001348068,0.004051744,0.001355001,0.005766741,0.002210659,0.003250243,0.0144355],"category_scores_gemma":[0.1982814,0.0004390443,0.00159951,0.003087943,0.004163489,0.01011008,0.0040818,0.004317163,0.0005439174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004523424,"about_ca_system_score_gemma":0.003550502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002569848,"about_ca_topic_score_gemma":0.002383617,"domain_scores_codex":[0.9662015,0.02466738,0.0006487685,0.001284366,0.006388674,0.0008091999],"domain_scores_gemma":[0.6576508,0.3184645,0.003523852,0.009274578,0.009743308,0.001342949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009864136,0.0006751014,0.02097208,0.00101074,0.0006411527,0.0001093968,0.000609764,0.4404564,0.0006681453,0.3210635,0.00560306,0.2072041],"study_design_scores_gemma":[0.0001067197,0.0004545129,0.006691191,0.0004315604,0.0002940184,0.00008624329,0.0006098027,0.5897346,0.001334903,0.3954409,0.004770737,0.00004490131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2339457,0.005419826,0.597165,0.01981563,0.0005657714,0.001802729,0.001404644,0.0003314921,0.1395491],"genre_scores_gemma":[0.9038554,0.00111666,0.08769628,0.0008911871,0.0002965315,0.0008357888,0.0004795169,0.0001133965,0.004715238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04577059,"threshold_uncertainty_score":0.2420609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0621558161986932,"score_gpt":0.4625187048818698,"score_spread":0.4003628886831766,"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."}}