
When AI Gets It Wrong: Lessons from a Women-Centered Design Experiment Highlight the Need for Inclusive GPTs
In emerging markets, women entrepreneurs continue to face systemic barriers to financial inclusion. And as Koheun Lee at CARE explains, ChatGPT and other AI models sometimes contribute to this exclusion, reinforcing societal biases that limit women’s potential for business growth and long-term financial health. She shares insights from CARE’s attempt to build a women-centered design GPT — and proposes some practical steps AI users can take to mitigate bias against women when working with mainstream GPTs.