✨
AI Summary
- Percy Liang directs Stanford's Center for Research on Foundation Models and addresses robustness, interpretability, and reproducibility challenges in modern ML
- Advocates for reproducibility in AI research through tools like CodaLab Worksheets and emphasizes the need for rigorous evaluation beyond benchmark metrics
- Discusses how to build more reliable ML systems and foundation models that generalize well while remaining transparent and verifiable to the research community