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How do you build experiences that effectively combine the power of humans and machines, especially when emerging technologies like machine learning and AI are involved? Due to the complexity of interactions, the answer isn't straightforward. Exploring and understanding the expectations for the humans as well as expectations for the machines in different environments can lead us to potential solutions.
During this talk, Chris Butler will take you through the process of building experiences for data science, machine learning, and AI. This will include prototyping and research to understand the assumptions around abstractions, mental models, affordances, interpretability, and trust. The talk will end with how these tools will change the way we do our work as practitioners and make us more effective at our roles.
Speaker Bio
Chris Butler is Philosophie's Director of AI. He leads the firm in human-centered AI engagements. Chris has over 18 years of product and business development experience at companies like Microsoft, KAYAK, and Waze. He first got introduced to AI through graph theory and genetic algorithms during his Computer Systems Engineering degree at Boston University. He has worked on AI-related projects at his startup Complete Seating (data science and constraint programming), Horizon Ventures (advising portfolio companies like Affectiva), and Philosophie (AI design, research, and prototyping). He has created techniques like Empathy Mapping for the Machine and Confusion Mapping to create cross-team alignment while building AI products. If you want to learn more or get in touch via email, LinkedIn, or visit http://philosophie.is/human-centered-ai.
Agenda:
- Pizza and socializing begins @ 6:45
- Talk begins @ 7:00 followed by Q&A
- A little extra socializing after the event