Choosing AI Interaction Patterns: A Decision Framework

Hosted by Rupa Chaturvedi

Wed, Mar 18, 2026

7:00 PM UTC (30 minutes)

Virtual (Zoom)

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Master UX Design for AI
Rupa Chaturvedi
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What you'll learn

Why Chat Became the Default (And When It Fails)

Understand why teams default to chat after ChatGPT and spot the workflow conditions where it creates friction.

Four Popular AI Interaction Patterns and When Each Works

Learn when to use conversational, embedded, copilot, or agentic patterns with real world examples

A User-Centered Decision Framework for Pattern Selection

Walk away with a practical framework for matching AI interaction patterns to real user workflows and contexts.

Why this topic matters

AI capabilities have matured to the point where the interaction pattern matters as much as the model itself. Whether AI shows up as a conversation, an inline suggestion or an autonomous agent shapes how users experience it and whether they keep using it. This session gives you an actionable framework for making that pattern choice based on user workflows and task context.

You'll learn from

Rupa Chaturvedi

Founder - Human Centered AI Institute, Design Leader, Adjunct Lecturer- Stanford

Rupa Chaturvedi is a product design leader with 15+ years of experience at Amazon, Google, Uber, and AI startups. She’s the founder of Human Centered AI Institute, offering coaching and corporate training in AI product design. Rupa has contributed to key AR/AI/ML technologies at Amazon and Uber and holds an MS in Product Design from Stanford. She’s also an inventor with 18+ patents, a UX design instructor at Stanford, and a mentor in the tech and food startup spaces.

Previously at

Uber
Google
Amazon
Stanford University

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