What happens when you try to build an AI tool that works for women entrepreneurs – and it totally flops? In this episode of Failing Forward, CARE’s Koheun Lee and Sarah Hewitt share the story of their ambitious attempt to create a women-centered GPT trained on real-world data from women entrepreneurs. Spoiler: it didn’t go as planned. But the failure revealed a lot.

In this episode, Koheun and Sarah discuss:

• Why CARE built a custom GPT to fight bias, and what went wrong
• How even well-trained AI tools can reinforce stereotypes and exclude women
• What we learned about prompt design, user behavior, and the limits of scrappy innovation
• Why most users still defaulted to mainstream AI tools
• Actionable tips for using AI more intentionally, and with less bias
• What this "failure" taught us about building better tools and better teams

Tune in for a candid conversation about tech, bias, and what it really means to learn in public. To learn more and join the conversation, visit the Women’s Entrepreneurship LinkedIn Community of Practice.