Join us for this live session!
What to expect from
this conversation:
How to run strong AI evals
A solid AI product starts with solid evaluations.
Learn what makes an AI evaluation successful—and how to build feedback loops that actually improve your product pre-launch.
Jailbreaks, red teaming, and safety risks
People are creative—and not always in good ways.
This group will walk through how AI tools are being manipulated and what teams can do to set up smart guardrails.
Addressing risks without slowing production
Building AI tools fast can raise red flags—this group will share ways to surface concerns and spark constructive conversations, so you can reduce future risk without slowing the roadmap.
Why AI products need UX more than ever
Let’s be honest—some AI experiences just aren’t usable. The panel will make the case for integrating UX early (and often) in AI development.
You’ll hear from:
Meredith McDermott
UX Lead
@ Gray Swan AI
Marysia Winkels
AI Safety Engineer
@ Gray Swan AI
Elizabeth Allen
Senior Product Manager
@ Dscout
Get feedback on demand
Through the define and design phases, continuously leverage user input to adjust and improve the product before you build.
