This module is intended for organizations at the Exploration phase of the AI journey who have a general sense for how AI could advance their strategic purpose. You perhaps have some early-stage ideas or AI use cases you want to pursue, but the problem space is still quite fuzzy. In this module, we will emphasize the importance of taking a problem-first (and not tech-first) approach. You will work on crafting a clear problem statement, ideating potential solutions rooted in that problem space, and finally you will evaluate promising AI-based ideas for whether AI is a good fit. You and your organization should be open to considering that a technology solution may not end up being the way forward.
This module is designed to be taken as a small group of anywhere from 3-6 individuals from your organization. Including preparation, we estimate that you and your team will spend ~1.5 hours/week for ~7 weeks on this module. You’ll find more on how to form your team and a detailed timing breakdown can be found in the Prep section. That being said, feel free to adjust the pace to the needs of your team.
Click on the arrow to expand each segment of learning materials below.
<aside> <img src="/icons/book_gray.svg" alt="/icons/book_gray.svg" width="40px" />
See how Climate Policy Radar took a problem-first approach to leveraging AI for climate action.
</aside>
<aside> <img src="/icons/hand_gray.svg" alt="/icons/hand_gray.svg" width="40px" />
Let us know if you’re interested in an upcoming workshop!
</aside>
