1.0CAREhttps://www.care.orgBea Spadacinihttps://www.care.org/news-and-stories/author/bspadacini/Next Billion: CARE's Koheun Lee on how to build a women-centered design GPT - CARErich600338<blockquote class="wp-embedded-content" data-secret="H6thRPmsdn"><a href="https://www.care.org/media-and-press/next-billion-cares-koheun-lee-on-how-to-build-a-women-centered-design-gpt/">Next Billion: CARE’s Koheun Lee on how to build a women-centered design GPT</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.care.org/media-and-press/next-billion-cares-koheun-lee-on-how-to-build-a-women-centered-design-gpt/embed/#?secret=H6thRPmsdn" width="600" height="338" title="“Next Billion: CARE’s Koheun Lee on how to build a women-centered design GPT” — CARE" data-secret="H6thRPmsdn" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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https://www.care.org/wp-content/uploads/2025/10/Next-Billion-logo.jpg500500Koheun Lee, Human-Centered Program Manager for CARE's Strive Women program, pens an insightful blog that that discusses how ChatGPT and other large language models (LLMs) often reinforce societal bias and perpetuate harmful stereotypes. After highlighting lessons learned from a women-centered design experiment, she discusses how to mitigate biases in existing GPTs.