Cultural diversity and artificial intelligence

AI tools are reshaping classrooms, yet many default to Western norms, which can lead to bias, language exclusion, and cultural erasure. This paper presents a workable framework for STEM educators and leaders, which involves blending ethical pluralism with inclusive, participatory design, partnering with language communities, embedding culturally grounded governance, investing in capacity building, and conducting ongoing cultural audits. Practically, this means co-creating curricula and datasets with local stakeholders, requiring multilingual and accessible AI resources, aligning policy with community values, and auditing tools before and after adoption. The result is AI use that enhances belonging, accuracy, and fairness for diverse learners while strengthening institutional accountability.