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 borrows from the principles of design thinking to lead you through exercises that help you create more impactful solutions and better align your team. He dives into problem framing, ideation, empathy mapping for the machine, confusing mapping, prototyping, and research so you leave with the hands-on experience you need to guide your teams and AI projects.
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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