January 13, 2020

195 words 1 min read

Design thinking for AI

Design thinking for AI

Purpose, a well-defined problem, and trust from people 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	Artificial Intelligence Conference
Conf Tag	Put AI to Work
Location	San Francisco, California
Date	September 5-7, 2018
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 are only building novelties that won’t be used for real problems. Any team that is 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, confusion mapping, prototyping, and research and leave with the hands-on experience you need to guide your teams and AI projects.

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