Day 2 Discussion
On day 2, we learned more about explainability versus interpretability and about deep learning XAI Methods.
Please have one of your team members reply in the comments to to each of these questions after discussing them with the team.
Here are the Space Weather Jupyter notebooks:
- More beginner oriented: https://github.com/ai2es/tai4es-trustathon-2022/blob/main/space/magnet_lstm_tutorial.ipynb
- More advanced user oriented: https://github.com/ai2es/tai4es-trustathon-2022/blob/main/space/magnet_cnn_tutorial.ipynb
The TAI4ES Space GitHub Readme page is here.
- Today we introduced the topics of AI explainability and interpretability. Building on what you learned in both sessions today, what do you think the goals of explainability and interpretability are (or should be) when working with your end user? In other words, why do (or should) these terms matter for end users?
- How can you use the techniques covered today (either in the lecture or in your trust-a-thon activity) to better meet the needs of your end users?