- Developing standardized benchmarks and evaluation metrics for AI systems
- Investigating techniques for detecting and mitigating biases in AI models
- Exploring methods for assessing the robustness and generalizability of AI models
- Studying the limitations and potential failure modes of AI systems
- Examining the role of human judgment in evaluating and validating AI models