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The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa

Association for Computing Machinery (ACM) via YouTube

Overview

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Watch a 22-minute ACM conference talk exploring the intersection of artificial intelligence, healthcare, and colonial impacts in Africa through a mixed-methods research approach. Delve into a collaborative study conducted by researchers examining how historical colonial influences affect modern AI implementation in African healthcare systems. Learn about the challenges and opportunities in developing fair AI systems that account for local contexts, cultural nuances, and historical power dynamics. Gain insights from the research team's findings on creating more equitable and culturally sensitive AI solutions for healthcare delivery across African nations, while understanding the broader implications for global AI fairness standards.

Syllabus

The Case for Globalizing Fairness - Mixed Methods Study on Colonialism, AI, and Health in Africa

Taught by

Association for Computing Machinery (ACM)

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