Uncertainty Quantification
When AI can explain to us that it's unsure, it adds a critical layer of transparency for its safe deployment and use. We’re developing ways to foster and streamline the common practices of quantifying, evaluating, improving, and communicating uncertainty in the AI application development lifecycle.
Our work
Tools + code
Publications
- 2023
- AAAI 2023
- 2023
- AAAI 2023
- 2023
- AAAI 2023
- 2022
- Big Data 2022
- 2022
- NeurIPS 2022
- 2022
- NeurIPS 2022