Lecture: May 9, 2023

web.stanford.edu/class/ee392b


A Blueprint for Enhanced User Experiences in Industrial AI Using Generative Models

Kylan Gibbs, Co-Founder and Chief Product Officer, Inworld.ai

Bio

Kylan is Co-founder and Chief Product officer of inworld.ai. Previously he was a Product Manager at DeepMind and a consultant with Bain and Company. His educational background includes a M.Phil from the University of Cambridge and a Bachelor’s degree from McGill University.

Abstract

This lecture will present a comprehensive strategy for deploying generative AI in various industry specific use cases, with an emphasis on user experience and next-gen UX and human-machine training. We will first introduce a holistic framework that encompasses key components of generative AI applications, including hardware, data, model architecture, serving infrastructure, and feedback mechanisms. This will serve as a foundation for understanding how to tailor the UX for I-AI systems to specific industry needs. As we delve into the implications of generative AI for user experience, we will discuss how direct human and Industrial AI interaction is poised to become the primary mode of AI product UX. This shift from static, one-way consumption to dynamic, interactive two-way interfaces will fundamentally reshape how users engage with products and services.

To explore these ideas in greater depth, we will examine the application of interactive I-AI for immersive experiences using real-world examples from leading partners in education (e.g. Stanford tutors), entertainment (e.g. Disney), and business (e.g. Microsoft). Through these case studies, we will demonstrate the potential of generative AI to revolutionize industries

Lecture Notes

Presentation slides (pdf)