Design thinking for AI
Who is this presentation for?
- Data scientists, engineers, and executives
- Anyone who works in product and design
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.
- Familiarity with AI, ML, and data science (useful but not required)
What you'll learn
- Gain design thinking-inspired tools, techniques, and workshops
Chris Butler is the chief product architect at IPsoft. Previously, Chris worked at Microsoft, KAYAK, and Waze, and he was involved in AI-related projects at his startup Complete Seating (data science and constraint programming), Horizon Ventures (advising portfolio companies like Affectiva), and Philosophie (AI consulting and coaching). He was first introduced to AI through graph theory and genetic algorithms while studying computer systems engineering at Boston University. He’s created techniques like empathy mapping for the machine and confusion mapping to create cross-team alignment while building AI products.
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