Algorithmic Bias & Justice

“This Teach-Out will encourage policy makers, agency leaders, and others in similar positions to identify algorithms that are already in use and make connections to broader ideas about fairness, justice, and equity. After completing the Teach-Out, learners will be able to participate in discussions around algorithmic bias, inform others about how algorithms can perpetuate existing disparities, and take steps to reduce the impact of algorithmic bias on the people and communities they serve.”

From Harvard's metaLab, the AI Pedagogy Project collects assignments "designed to spark informed conversation about the risks, benefits, and potential impacts of AI tools."

Aimed at high school students, the aiEDU project has lesson plans ranging from 5 min warmups to full day projects.

Padlet resource list curated by Kathryn Conrad and Sean Kamperman, co-directors of the AI & Digital Literacy Project.

Archived webinar from Warwick International Higher Education Academy. Through a series of focused presentations and panel discussions with leading experts, this webinar provided participants working in the field of higher education with a particular interest in race equity with a space to explore some of the concerns and possibilities that AI raises in developing anti-racist and critical pedagogies.