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CS282BR: Topics in Machine Learning Interpretability and Explainability

CS282BR: Topics in Machine Learning Interpretability and Explainability. Hima Lakkaraju Assistant Professor (Starting Jan 2020) Harvard Business School + Harvard SEAS. Agenda. Course Overview My Research Interpretability: Real-world scenarios

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1.12k views • 84 slides

Explainable Machine Learning

Explainable Machine Learning. Joseph E. Gonzalez Co-director of the RISE Lab jegonzal@cs.berkeley.edu. Two Papers Today. A good critique on the state of explainable AI research. Widely cited early example of general exploitability. Need for Explainability (The Problem).

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141 views • 12 slides

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Interpretable models - PowerPoint PPT Presentation

CS282BR: Topics in Machine Learning Interpretability and Explainability

Explainable Machine Learning