Building Human-Centered AI

From Reward Functions to Real Products

September 15, 2025 12:00 pm -1:00 pm PT

Summary

In this session, you’ll dive into the real-world challenges of taking reinforcement learning from elegant theory to practical, user-facing AI products. We’ll examine where reward functions succeed, how design decisions shape model and product behavior, and how to build AI products.


Hosted by Aditya Challapally, with insights from Stanford professor Emma Brunskill and Boris Cherny (Member of Technical Staff at Anthropic, Creator of Claude Code), this conversation looks beyond algorithms to explore how to build AI products used by millions — revealing the mindsets, design choices, and feedback cultures that turn abstract models into enduring, human-centered systems.



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Speakers

Emma Brunskill

Emma is an Associate Tenured Professor in the Computer Science Department at Stanford University. Her goal is to create AI systems that learn from few samples to robustly make good decisions, motivated by applications to healthcare and education. Her lab is part of the Stanford AI Lab, the Stanford Statistical ML group, and AI Safety @Stanford. She was previously an assistant professor at Carnegie Mellon University. Her work has been honored by early faculty career awards (National Science Foundation, Office of Naval Research, Microsoft Research (1 of 7 worldwide)). Her and her lab members' research has received 10 best research paper nominations and awards (Uncertainty in AI, Decision Analysis Society, Computer Human Interactions, Educational Data Mining x3, Learning Analytics and Knowledge, Reinforcement Learning and Decision Making Symposium x2, Intelligent Tutoring Systems).

Aditya Challapally

Aditya Challapally is a machine learning engineer and product lead. He currently works at Microsoft where he helps build GenAI products that are used by millions globally. Prior to Microsoft, Challapally led key AI initiatives at McKinsey & Company and Uber. He is an advisor to several Silicon Valley startups and Fortune500 companies, helping them execute on GenAI. His expertise extends to academia, as his book, The Product Management Interview Handbook, is used in MS&E 265: Intro to Product Management at Stanford University and in universities around the world. Challapally lectures on product management and AI at Stanford School of Engineering and Stanford Online. 

Boris Cherny

Boris Cherny is a Member of Technical Staff at Anthropic, where he created Claude Code. Claude Code is Anthropic’s AI-powered coding assistant that helps developers write, understand, and improve software more efficiently. He was previously the tech lead for Instagram, where he led server architecture and developer infrastructure, and earlier led code quality efforts across Meta. Before that, Boris held engineering roles at Coatue Management, Turn, and AgileMD, and co-founded multiple startups.

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