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With the increase of Artificial Intelligence, teachers have access to tools that aid their evidence-based, culturally responsive teaching. This mixed-methods research project studied elementary educators’ use of the Social Justice Technological, Pedagogical, and Content Knowledge framework to critically use AI to create culturally responsive decodable texts. Data sources included a pre- and post-survey, lesson plans and decodable texts that were produced, videos of think alouds, and lesson reflections. Quantitative data were analyzed using a paired t-test and qualitative data were analyzed inductively. Participants were able to reflect on the possibilities and limitations of AI for reading instruction, requiring them to ensure outputs were aligned with both culturally responsive teaching and evidence-based reading instruction.