Interrogating AI: Slavery, Mass Incarceration, and Historical Truth
Faculty Reflection
This assignment is designed to move beyond the binary of "using AI" or "not using AI" by positioning AI as an object of critical inquiry rather than a shortcut for task completion. Grounded in Bryan Stevenson's "Mass Incarceration" from The 1619 Project, the lesson asks students to engage deeply with the historical relationship between slavery and the modern U.S. carceral system while interrogating how that history is represented in AI-generated content. Rather than beginning with how students should use AI, this assignment begins with what students should understand and be able to do as historians: evaluate claims, identify omissions, analyze narrative framing, and connect past to present systems of power. AI is then introduced as a tool that can both support and distort these processes. Students first engage the historical text independently to build foundational understanding. They then use AI to generate and analyze competing narratives, treating AI outputs as sources that must be questioned, corroborated, and revised. In doing so, students practice critical AI literacy, examining not only what AI produces, but how and why those outputs may reflect incomplete, flattened, or biased representations of Black history. The assignment was also designed to align with Colorado Mountain College's four strategic pillars: Equity (analyzing how Black history is represented in AI systems), Care (creating space for difficult conversations about race and incarceration), Innovation (using AI as an object of study rather than avoiding it), and Integrity (holding students accountable for critical engagement with sources). Assessment includes a fifth pillar—AI literacy—recognizing that students need explicit practice evaluating AI-generated content, especially on topics involving historical power and systemic oppression.
What Students Create
Students critically analyze how AI represents the historical connections between slavery and mass incarceration, comparing AI-generated content against Bryan Stevenson's scholarship. They produce a civic action letter to a representative that connects historical analysis to contemporary justice issues while reflecting on their use of AI tools.
Why This Assignment Matters
This assignment positions AI as an object of critical inquiry rather than a shortcut. Students learn to interrogate how AI systems represent (and misrepresent) Black history, practicing critical AI literacy by examining what AI produces, how, and why those outputs may reflect incomplete or biased representations. By treating AI outputs as sources that must be questioned and corroborated, students develop essential skills for evaluating digital information in an age of generative AI.