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
- 2022
- ACS Fall 2022
- 2022
- ICML 2022
- 2022
- ICML 2022
- 2022
- ICLR 2022
- 2022
- SIAM/ASA JUQ
- 2022
- AAAI 2022