{"id":"W4408520883","doi":"10.1109/tvcg.2025.3552017","title":"Why is AI Not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsoft (Canada)","funders":"","keywords":"Panacea (medicine); Computer science; Storytelling; Data visualization; Data science; World Wide Web; Visualization; Artificial intelligence; Narrative","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":[0.02533283,0.0004906654,0.0005634873,0.001864232,0.01308745,0.006346762,0.001576447,0.002451332,0.002084327],"category_scores_gemma":[0.05586217,0.0005910491,0.0003925622,0.001274559,0.01129675,0.007766806,0.005619778,0.005001041,0.0003598462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004342126,"about_ca_system_score_gemma":0.004098861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007391824,"about_ca_topic_score_gemma":0.008475171,"domain_scores_codex":[0.969254,0.02520312,0.0007637896,0.001185614,0.001448513,0.002145102],"domain_scores_gemma":[0.9290683,0.05756228,0.004051167,0.001284157,0.003575103,0.004458998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000319918,0.00004483276,0.003372665,0.0000560338,0.000003026429,0.0002340194,0.9906721,0.00003543774,0.000342419,0.001855025,0.0005204334,0.002832097],"study_design_scores_gemma":[0.000005013831,0.00003864383,0.001031062,0.00004931867,0.000002729516,0.0001102558,0.9894076,0.0001929334,0.0002000183,0.0005608831,0.008389388,0.00001232613],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742955,0.0007054384,0.007451589,0.008677347,0.00008179592,0.0001800524,0.00006700597,0.00003580825,0.008505422],"genre_scores_gemma":[0.9964195,0.0003019392,0.001269759,0.000765185,0.00001793106,0.0001120473,0.0000217885,0.00001503324,0.001076814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02533283,"threshold_uncertainty_score":0.1339744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.21371830043026,"score_gpt":0.4252987906009115,"score_spread":0.2115804901706516,"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."}}