Algorithmic bias in educational AI is documented across gender-bias-transfer-llm-writing, ai-scoring-language-bias-physics, llm-cultural-relevance-k12, and bias-mitigation — models inherit and amplify demographic, linguistic, and cultural biases that require systematic auditing and mitigation.