Ibrahim Adisa
Papers
2
Total Citations
33
H-Index
2
About
Ibrahim Adisa is a leading voice at the intersection of artificial intelligence, education, and social justice. His research focuses on how young learners can develop both the conceptual knowledge and computational practices needed to critically engage with machine learning (ML) systems. Adisa’s most-cited work, “Characterizing children’s conceptual knowledge and computational practices in a critical machine learning educational program” (2022, 29 citations), provides a foundational framework for understanding how children can move beyond using ML tools to analyzing their societal implications. He argues that biased training datasets pose significant harm to marginalized populations, and that children—as future consumers and producers of technology—must be equipped with both technical skills and social awareness. Building on this, his 2023 paper “The Design of a Critical Machine Learning Program for Young Learners” (4 citations) details a pedagogical approach that integrates ethical critique into ML education. Adisa’s contributions are shaping a new generation of curricula that empower young people to question algorithmic fairness and design more equitable technologies. His work is essential reading for educators, researchers, and policymakers committed to responsible AI education.
Research Focus
Key Achievements
Top Papers
- 1
- 2The Design of a Critical Machine Learning Program for Young Learners4 citations · 2023