In this episode of Wired for Change, host Amy Yee sits down with Kelly Geyer, a global Diversity, Equity, Inclusion & Belonging (DEIB) leader and change management expert, to explore one of the most urgent issues in tech today: AI bias.

As artificial intelligence reshapes industries from healthcare to HR, the risks of reinforcing discrimination through biased data and poorly designed systems are growing. But the good news? We can do something about it — if we start now.

🔍 In this episode, we cover:

• The real-world risks of biased AI (including a powerful story you won’t forget)

• How organizations can build inclusivity into AI from the ground up

• Why DEI isn’t just a checkbox — it’s a foundation for sustainable transformation

• The roles everyone (yes, everyone) plays in responsible AI adoption

• Tools, frameworks, and international efforts that are shaping the future

💡 “If diversity and inclusion aren’t part of your culture, they won’t show up in your AI.” – Kelly Geyer

Whether you're leading digital change, selecting AI tools, or just trying to understand how AI decisions are impacting you and your community — this episode is for you.

🟢 Subscribe to Wired for Change for more conversations at the intersection of technology, equity, and transformation.

👇 Chapters00:00 Intro
01:00 The risks of AI bias
06:30 Real-world examples: healthcare, hiring, credit
13:30 How widespread is AI in 2025?
18:00 Who should be thinking about DEI in AI?
26:00 The seven major risks of ignoring inclusivity in AI
34:00 Frameworks and tools for assessing bias
38:30 Promising practices from around the world
44:00 Final thoughts and calls to action