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Explore the limitations of explainability in artificial intelligence through this insightful paper session from the Association for Computing Machinery (ACM). Delve into cutting-edge research and expert discussions on the challenges and constraints faced in making AI systems more transparent and interpretable. Gain valuable knowledge about the current state of explainable AI, its potential shortcomings, and the ongoing efforts to address these limitations in various AI applications.
Syllabus
Paper session 5: Explainability (limitations)
Taught by
ACM FAccT Conference