AI Architects · Grades 9-12Module 3 of 6
Algorithmic Bias & Systemic Justice
Students apply a social justice lens to AI, examining how algorithmic systems can reinforce or amplify existing inequities.
60 to 90 minDraft: under expert reviewHow we review modules
Key topics
- How historical inequity gets encoded in training data
- Case studies: criminal justice, healthcare, education, housing
- Intersectionality and compound algorithmic harm
- Auditing AI systems: how researchers and journalists hold AI accountable
Lesson steps
Content coming soon.
We're writing this module's lesson steps now. Each one will take 3 to 10 minutes, with stories, choices, and quick checks.
Teaching it before then? The slide deck covers the whole module.
Open the slide deck for Algorithmic Bias & Systemic Justice (Google Drive)