Design thinking for AI
Purpose, a well-defined problem, and trust are important factors to any system, especially those that employ AI. Chris Butler leads you through exercises that borrow from the principles of design thinking to help you create more impactful solutions and better team alignment.
| Talk Title | Design thinking for AI |
| Speakers | Chris Butler (IPsoft) |
| Conference | O’Reilly Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | San Jose, California |
| Date | September 10-12, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Without human purpose, a computer is just a rock that we tricked into thinking—even if we add AI to it. Without human trust, we’re only building novelties that won’t be used for real problems. Any team working on hard, meaningful, and purpose-driven problems could benefit from AI/ML, but without the right focus, you may end up building toys. Chris Butler leads you through exercises that borrow from the principles of design thinking to help you create more impactful solutions and better team alignment. You’ll cover problem framing, ideation, empathy mapping for the machine, prototyping through role-play, and research. When you’re done, you’ll leave with the hands-on experience you need to guide your teams and AI projects.
