{"id":"W4396833700","doi":"10.1145/3613904.3642474","title":"The Who in XAI: How AI Background Shapes Perceptions of AI Explanations","year":2024,"lang":"en","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsoft (Canada)","funders":"","keywords":"Heuristics; Appropriation; Perception; Field (mathematics); Value (mathematics); Psychology; Computer science; Cognition; Social psychology; Artificial intelligence; Cognitive psychology; Epistemology; Machine learning; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004006885,0.0001048463,0.0001099321,0.0001999702,0.0002114337,0.0007686863,0.0008232863,0.00004984811,0.0001644505],"category_scores_gemma":[0.00005649411,0.00007481837,0.00007117625,0.0009834724,0.0001130592,0.001219111,0.0001710376,0.0002176775,0.0002658516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007004142,"about_ca_system_score_gemma":0.0001313224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003054224,"about_ca_topic_score_gemma":0.003179517,"domain_scores_codex":[0.99885,0.0000731172,0.0002416083,0.0003003079,0.0002588585,0.0002760517],"domain_scores_gemma":[0.9990113,0.0004081351,0.00002370599,0.0003795639,0.0001253004,0.00005201601],"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":[8.922182e-7,0.00002853616,0.000252688,0.000009014296,0.000008636779,0.000008402179,0.00198062,0.0003787149,0.0008612852,0.9743001,0.01161205,0.01055904],"study_design_scores_gemma":[0.00006355705,0.0001078257,0.005165272,0.0001174661,0.000009148172,0.0000195886,0.009505549,0.8033332,0.005815288,0.1106246,0.06491067,0.0003278708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02735885,0.0004083235,0.8793388,0.07957968,0.0004429597,0.0002528224,0.000005202633,0.0002305324,0.01238282],"genre_scores_gemma":[0.9902675,0.00009849432,0.002282129,0.0006255548,0.00005632147,0.00003930584,0.000001363251,0.000008374675,0.006620924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9629087,"threshold_uncertainty_score":0.741246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03432535491012714,"score_gpt":0.3172028789804958,"score_spread":0.2828775240703687,"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."}}