{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002445061,0.000614465,0.0008679872,0.000600693,0.001924637,0.0009211173,0.004171956,0.0001493616,0.0001237062],"category_scores_gemma":[0.000146884,0.0005379387,0.0002145137,0.0009113761,0.0003209469,0.0007413659,0.001507038,0.001749027,0.00003451347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005120659,"about_ca_system_score_gemma":0.000324955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001859846,"about_ca_topic_score_gemma":0.000115979,"domain_scores_codex":[0.9936311,0.0008182636,0.001846941,0.001246003,0.001286308,0.001171394],"domain_scores_gemma":[0.9960983,0.0004331271,0.001134574,0.001777626,0.000351065,0.0002053331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002763916,0.0009086261,0.002803073,0.0002297794,0.00009154221,0.0002503844,0.0207937,0.1794077,0.01058926,0.7816602,0.001521079,0.001717012],"study_design_scores_gemma":[0.004745449,0.005134439,0.1318286,0.0040657,0.0001081333,0.0003576139,0.07132116,0.5468822,0.1123994,0.1104928,0.005963286,0.006701182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763351,0.00008406321,0.006395445,0.0005118119,0.001628311,0.001262339,0.0000189674,0.0002675431,0.01349643],"genre_scores_gemma":[0.9986488,0.00000187354,0.0001752352,0.0003075729,0.0001288302,0.00005489334,0.00002389091,0.0000511113,0.0006078162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6711674,"threshold_uncertainty_score":0.9997072,"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."}}