{"id":"W4410253330","doi":"10.1016/j.procs.2025.04.261","title":"Criteria for AI Adoption in HR: Efficiency vs. Ethics","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.09073751,0.0007481552,0.00109206,0.008065325,0.004301573,0.01607188,0.00175348,0.00474468,0.003849003],"category_scores_gemma":[0.2061026,0.0004625613,0.001027808,0.004718443,0.02768791,0.009099958,0.00617327,0.004288086,0.0007813165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007414439,"about_ca_system_score_gemma":0.007724054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00174393,"about_ca_topic_score_gemma":0.001255113,"domain_scores_codex":[0.8615279,0.08456457,0.01061976,0.003452,0.03649827,0.003337447],"domain_scores_gemma":[0.6792406,0.2212453,0.03389391,0.01337552,0.04526212,0.006982625],"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":[0.0001611308,0.0003480364,0.03747178,0.0008787101,0.0001489702,0.0003169754,0.01479447,0.003061941,0.001312985,0.8565596,0.004108587,0.08083686],"study_design_scores_gemma":[0.000137507,0.0007316299,0.06437581,0.003084279,0.0001225818,0.001206559,0.02868353,0.01844076,0.003226011,0.8174667,0.06219695,0.000327624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2642223,0.00527613,0.2162834,0.05490222,0.0007899072,0.002568289,0.0002146303,0.0001868197,0.4555563],"genre_scores_gemma":[0.9663586,0.0003279806,0.02966222,0.0009139508,0.0001495684,0.0005093842,0.00003384943,0.00005447858,0.001990033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09073751,"threshold_uncertainty_score":0.4798715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06352430440781445,"score_gpt":0.4486952519537454,"score_spread":0.385170947545931,"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."}}