{"id":"W4225137238","doi":"10.1145/3491101.3503727","title":"Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsoft (Canada)","funders":"National Science Foundation","keywords":"Black box; Computer science; Artificial intelligence; Human–computer interaction","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":[0.03621734,0.001113637,0.0007726862,0.001810233,0.005586877,0.01178928,0.003523059,0.006183172,0.01248966],"category_scores_gemma":[0.04890958,0.0008531233,0.001034488,0.001445894,0.03618595,0.0228094,0.01190349,0.0134185,0.001943091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006172925,"about_ca_system_score_gemma":0.006982947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003342125,"about_ca_topic_score_gemma":0.003242345,"domain_scores_codex":[0.9699194,0.02298705,0.0004923771,0.001821047,0.003878127,0.0009020235],"domain_scores_gemma":[0.9226109,0.06269431,0.001545705,0.007808337,0.00374029,0.001600381],"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":[0.0000497271,0.00005185417,0.0005534114,0.000656377,0.00003155295,0.0001470413,0.0536726,0.001585658,0.001629983,0.8702478,0.02887179,0.0425021],"study_design_scores_gemma":[0.00002694904,0.0001055016,0.0007059537,0.001020596,0.00003279743,0.0002292504,0.01255952,0.00430238,0.002533821,0.4939869,0.4844085,0.00008779283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01906799,0.01226369,0.5641609,0.2401852,0.002474935,0.0006386506,0.000293629,0.002207018,0.1587079],"genre_scores_gemma":[0.6139391,0.01278779,0.268862,0.03672606,0.002340385,0.002329933,0.0008968081,0.002296896,0.05982097],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03621734,"threshold_uncertainty_score":0.1915379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09086952091528383,"score_gpt":0.3404376688759422,"score_spread":0.2495681479606583,"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."}}