Fixing bias in UX content before AI scales it

By 2030, one-third of Americans will be over 50. In the U.S. alone, adults 50+ generate $8.3 trillion in annual economic activity, and globally represent a $22 trillion market opportunity. Yet much of our UX writing still assumes decline, confusion, or low digital fluency.

The problem isn’t overt ageism. It’s subtle underestimation. Now AI tools trained on legacy content are beginning to scale those assumptions across entire product ecosystems.

After moving to the world’s largest retirement community, Bryan Kelly observed how 165,000 residents actually navigate technology — and found that UX content rarely reflects their autonomy, fluency, or lived expertise.

This session introduces a practical audit framework for identifying assumptions in UX writing, with annotated before-and-after rewrites and a sprint-ready checklist you can apply immediately.

You’ll leave with strategies for guiding AI-assisted workflows toward capability, identity, and trust — plus a downloadable audit tool to evaluate your content systems before bias scales across them.

In this session, you’ll learn how to:

• Diagnose decline-based assumptions embedded in UX microcopy and design systems.
• Apply a persona- and worldview-based lens to evaluate whether content reinforces autonomy, trust, and lived expertise.
• Transform patronizing or hype-driven messaging into capability-aligned language using annotated rewrite techniques.
• Think more broadly about how other forms of bias may be showing up in your work.