Bidirectional Human-AI Alignment in Education for Trustworthy Learning Environments

This chapter develops a conceptual framework for bidirectional human-AI alignment in K-12 education, emphasizing mutual adaptation between AI systems and educational stakeholders (teachers, students, institutions) to ensure trustworthy learning environments grounded in equity, transparency, and student agency. It proposes strategies for aligning AI values, goals, and interaction norms with educational principles rather than presenting empirical evaluations or benchmarks.

Artificial intelligence (AI) is transforming education, offering unprecedented opportunities to personalize learning, enhance assessment, and support educators. Yet these opportunities also introduce risks related to equity, privacy, and student autonomy. This chapter develops the concept of bidirectional human-AI alignment in education, emphasizing that trustworthy learning environments arise not only from embedding human values into AI systems but also from equipping teachers, students, and in

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