Module 1: Why do we need Responsible AI for Earth Sciences?
AI for Earth Sciences
AI for Earth Sciences
The second part of this module is focused on the growing number of AI applications for Earth Sciences. I’m going to make this a bit of a choose-your-own-adventure on the reading assignment. The first two papers are quick and are required. Then you can pick from the list or find other papers to discuss in class (see below).
Assignment 1
Required readings:
- Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research (Despite the title, this is about AI for Geosciences and the need for Ethical and Responsible AI)
- Why we need to focus on developing ethical, responsible, and trustworthy artificial intelligence approaches for environmental science (this is my paper but we are one of the only teams looking at ethical AI for Geosciences and so it makes sense to read this up front to help motivate class!)
Now for the choose your own adventure part of the assignment! What I’d like you to do is find an interesting area of Earth Sciences (think broadly! It doesn’t have to all be weather! Climate change, air travel, earthquakes, ecology, etc) and find out if there is work on that application area using AI. Some examples are below. You can choose from this list if you want but you are welcome to find others. Read and come to class prepared to discuss what you found!
- Learning skillful medium-range global weather forecasting
- The outlook for AI weather prediction
- How AI can help to save endangered species
- Link on nature (this should work on campus)
- Link via OU Libraries (this should work off campus)
- AI Copernicus ‘discovers’ that Earth orbits the Sun
- Link on nature.com (on campus only)
- PDF on canvas
- Using artificial intelligence to transform astrobiology
- Link on nature.com (on campus only)
- This AI robot chemist could make oxygen on Mars
- Link on nature.com (on campus only)
- Link on OU Libraries (off campus)