Project Detail

Google Deepmind

I interned with the Google PAIR team to design responsible interaction patterns for the People + AI Guidebook, making complex AI concepts easier to understand and use—supporting product teams adopt transparent, ethical, human-centered AI practices.

Student Researcher

5 months

Cambridge, MA

Project Video - Presented at Google I/O

AI Guidebook Includes Six Chapters

User Needs + Defining Success

Data + Model Evolution

Mental Models + Expectations

Explainability + Trust

Feedback + Controls

Errors + Graceful Failures

At Google PAIR, I evaluated the People + AI Guidebook with 30+ global founders, uncovering key AI challenges in their product systems. I co-led weekly sessions to identify real-world AI use cases, translated insights into scalable design patterns grounded in human-in-the-loop practices, and created 40+ high-fidelity mockups and 10 user flows for AI agent chatbots. I presented findings to stakeholders across Google, helping shape responsible AI features and product adoption strategies.

My main work can be found in the "Hypothetical Application" section of the Guidebook—some of which is now live on the PAIR website below ⬇️

Showcase

rh692@cornell.edu