June 27-30, 2022, 9am-12pm and 1pm-4pm each day
The TAI4ES Summer School will focus on getting attendees up to speed on how to develop trustworthy AI for the earth and environmental sciences. Participants should have a basic background in AI methods. Each morning, students will participate in lectures from leading researchers in the field. In addition to gaining hands-on experience with evaluating the trustworthiness of AI methods across multiple use cases, 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
Free for students, $25 for non-students (but waivers available).