Black Knowledge Erasure Dataset

Presenter: Sasha Richardson (CUNY Graduate Center)

The Black Knowledge Erasure Dataset (BKED) is a research archive designed to document how AI models like GPT-5 and Gemini distort Black history and culture through specific “hallucinations”. Rather than viewing these errors as random bugs, the project frames them as “epistemic erasure,” where algorithms invent authorities or omit key figures in ways that mirror historical discrimination. The dataset includes the original prompts, the incorrect AI responses, and human-verified annotations that identify exactly where the models failed against standard archival sources.

Bio: Sasha Richardson works at the intersection of data science, AI, and the humanities to design tools and systems that turn complex information into actionable insights. Currently pursuing an MA in Digital Humanities at the CUNY Graduate Center, she is exploring how advanced analytics and AI can address equity, resource allocation, and decision-making challenges.