Interrogative Reasoning and the Problem with the “Human in the Loop”
A collaboration between scholars and practitioners, this essay introduces the Theory of Interrogative Reasoning, a community-centered framework that reconceptualizes ethical AI as a function of power, belief, and timing rather than solely technical design. Here, Jameila “Meme” Styles, Zameshia Williams, Jose Teran, and Sylvester Johnson draw on real-world application of this approach to demonstrate how community-led interrogation can transform lived experience into actionable evidence that informs AI governance, system design, and public accountability.