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In review of the burgeoning research on artificial intelligence (AI), the vast majority of the existing publications focus on either bias or education but now bridge the two topics of interest. Our session attempts to build an andragogical bridge between the two topics by not only acknowledging the bias in AI but also how this bias may ultimately affect the educational outcomes of students in higher education. In the Age of AI where the digital divide often disadvantages the most marginalized students, we, as educators, should avoid becoming perpetrators in the digital preproduction of inequality. In this session, our endeavor to decolonize AI in education is two-fold: 1) introduce participants to the equity issues with AI in education and 2) explore the ways in which we might be able to address those issues in our classrooms.

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