Chris Reardon is an award-winning creative director, product design leader, brand strategist, and AI ethics advocate with over 25 years of experience. He has led cross-disciplinary teams as the Head of Design for Meta's Responsible AI organization to establish industry standards positively impacting over 3.6 billion monthly users. Before joining Meta, Chris led the design team at a stealth startup researching and developing natural language chatbots into innovative virtual agents capable of handling multimodal customer calls and automated robotic processes for top US banks, automotive, insurance, and healthcare companies. Before venturing into natural language processing, Chris played a significant role in defining the IBM Watson brand at Ogilvy, launching AI into the global mainstream.
Chris thrives at the intersection of complex user problems, technology, and creativity, bringing decades of thought leadership to ambiguous challenges. Chris' clients have been some of the world's most iconic brands, like Meta, Aol, Apple, BofA, Chase, Sony, and IBM.
Upcoming Talks
13 May 2025
AI-native products require a new kind of collaboration, one that bridges the gap
between traditional machine learning (bottom-up, data-driven) and the way UX and
product teams typically operate (top-down, user-driven). Too often, these disciplines
speak different languages, leading to misalignment, slow iteration cycles, and missed
opportunities.
This panel will explore how product managers, UX designers, and developers can break
down silos to create AI products that are both technologically feasible and deeply user
centered. We’ll discuss how to integrate AI capabilities into the product development
process, establish shared frameworks for decision-making, and foster a culture of
experimentation.
Key Takeaway:
Whether you're building your first AI-native product or refining your approach, this
session will provide practical strategies to align teams and build better AI
experiences faster, together.
Past Talks
17 May 2023
Every product will contain some form of AI going forward. This poses two challenges for product teams: how to work with AI and how to work if there is AI.
How to work with AI
There is a big UI shift away from menus towards more prompt focussed applications. What are the new patterns that teams need to learn?
How to work if there is AI
Copilot is writing 40% of the code that people write. Generative UI apps are able to create Figma editable mockups from prompts. How will the roles within a team shift when AI’s can start taking on more of the work.
