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During this session,
leaders will discuss…
Interpreting ‘good enough’ AI output
As AI-generated research artifacts spread across teams, "good output" means something different depending on who you ask (and that gap has real consequences).
The group will explore how orgs can align on shared quality standards and who should hold the authority to define and enforce them.
Last-mile reviews and evaluation at scale
Agreement on quality is only half the battle. The harder part is building review processes that hold up as AI output volumes grow.
Leaders will dig into how teams are structuring human-in-the-loop evaluation to stay rigorous without becoming a bottleneck.
Building trust and evolving governance
Trust in AI-assisted research isn't static, and the governance frameworks built for early adoption may not be fit for what's coming next.
The group will explore how to read signals of shifting trust—internally and externally—and how they're adapting oversight as AI takes on greater autonomy.
How to amplify strategy, advocacy, and humanity in every role.
You’ll hear from:
Gordon
Ching
Webinar Host
Founder, CEO
@ Design Executive Council
Christina
Vallery
Chief Design Officer
@ The Cigna Group
Catherine
Walker
Head of Content
@ The Cigna Group
Dana
Cho
VP of Design
@ Pinterest
Michael
Winnick
CEO
@ Dscout
Anshuman
Kumar
SVP, Head of Design
@ Datadog
Christian
Rohrer
VP of Experience Design
@ TD Bank Group
Dana
Cho
VP of Design
@ Pinterest
