Published June 30, 2022
| Version 1.0
Presentation
Open
Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Summer School 2022
Authors/Creators
- 1. University of Oklahoma
- 2. National Center for Atmospheric Research
- 3. Colorado State University
- 4. University of Washington
- 5. NOAA
- 6. Cooperative Institute for Research in the Atmosphere
- 7. Cooperative Institute for Severe and High-Impact Weather Research and Operations
Description
2022 online summer school on trustworthy AI for weather and climate applications.
Participants will gain an understanding of:
- the foundations of trustworthiness for AI
- explanatory AI (XAI) and how explanations, physics, and robustness can help build trust in AI
- the relationship between ethics and trustworthiness
- how machine-learning systems have been developed for a range of environmental science applications
Notes
This material is based upon work supported by the National Science Foundation under Grant No. ICER-2019758.