AI is not neutral: The Hidden Bias Hurting Black Women's Health скачать в хорошем качестве

AI is not neutral: The Hidden Bias Hurting Black Women's Health

What happens when AI systems don’t fully understand women’s health — especially Black women’s experiences? In this conversation, Chiamaka Chuke-Okafor, a PhD researcher at Swansea University, and Dr Frederic Boy, an Associate Professor of Artificial Intelligence and Computational Social Science, explore the urgent need for inclusive, ethical AI in women’s health. The discussion dives into why Black women’s health experiences are often missing or misinterpreted in AI systems, particularly during midlife and menopause, and how assumptions based on “average” health data can reinforce inequality. Chiamaka reflects on her PhD research, which aims to close these data gaps and design AI-supported digital tools that truly reflect women’s lived realities. They also unpack the ethical risks of AI in healthcare, the role of allyship in maternal health research, and why researchers and designers must be bold about naming race, gender, and life stage when building health technologies. The conversation closes with a call to educate designers, healthcare professionals, and users about how AI systems work — and who they may be leaving behind. This episode is a thoughtful look at the future of women’s health, technology, and why AI must be built with inclusion at its core.