{"id":"W4399917675","doi":"10.1145/3635636.3660763","title":"Explainable AI for the Arts 2 (XAIxArts2)","year":2024,"lang":"en","type":"article","venue":"Creativity and Cognition","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Engineering and Physical Sciences Research Council; UK Research and Innovation","keywords":"The arts; Manifesto; Sociology; Computer science; Engineering ethics; Visual arts; Engineering; Political science; Art","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":[0.007761525,0.0005819563,0.0003059702,0.000888819,0.003418718,0.009538739,0.001753577,0.00315195,0.03693711],"category_scores_gemma":[0.008888596,0.0004031163,0.000912732,0.0009452502,0.006802137,0.00676044,0.007984201,0.005786259,0.005352748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002850902,"about_ca_system_score_gemma":0.002849344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002706772,"about_ca_topic_score_gemma":0.003357911,"domain_scores_codex":[0.9950097,0.002898632,0.0001701015,0.0004491678,0.001085187,0.0003872048],"domain_scores_gemma":[0.9927977,0.004886275,0.0002224424,0.001016956,0.0004900582,0.0005865443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000129644,0.00007160604,0.0002710992,0.0006142639,0.00001559087,0.0005595188,0.03293699,0.001008417,0.00394728,0.6318139,0.2459522,0.08267932],"study_design_scores_gemma":[0.00001230082,0.00002764941,0.0002268892,0.000211706,0.000004591841,0.0001634477,0.002951511,0.0003157862,0.001659211,0.02140492,0.9729996,0.00002244565],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03051621,0.0136202,0.1532579,0.1116688,0.01697504,0.0007143416,0.001254173,0.00412533,0.6678681],"genre_scores_gemma":[0.2590769,0.006784589,0.06635661,0.01334122,0.002278503,0.00130435,0.001585585,0.003955163,0.6453171],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03693711,"threshold_uncertainty_score":0.123567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04589826887072394,"score_gpt":0.3127543293377939,"score_spread":0.2668560604670699,"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."}}