Tolulope Famaye

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About

Tolulope Famaye is a researcher at the intersection of artificial intelligence, education, and social justice, with a primary focus on critical machine learning literacy for young learners. Her most-cited work, "The Design of a Critical Machine Learning Program for Young Learners" (2023, 4 citations), represents a pioneering contribution to K-12 AI education. In this study, Famaye addresses a pressing societal challenge: while machine learning powers everyday technologies, biased training datasets disproportionately harm marginalized communities. She argues that children, as future consumers and creators of technology, must develop both the technical skills and the critical social awareness to recognize and challenge algorithmic bias. By designing and evaluating a program that teaches young learners not just how ML works, but how it can perpetuate inequity, Famaye bridges computer science education with critical pedagogy. Her work is notable for centering equity in AI literacy, moving beyond technical proficiency to cultivate responsible, informed citizens. This research has immediate implications for curriculum designers, educators, and policymakers seeking to prepare children for an increasingly automated world. Famaye’s contributions are especially timely as debates intensify around fairness, transparency, and accountability in AI systems.