Bidirectional Human-AI Alignment in Education for Trustworthy Learning Environments
This addresses the problem of ensuring AI in education benefits all stakeholders without eroding human values, but it is incremental as it builds on existing concepts of alignment.
The chapter tackles the risks of AI in education, such as equity and privacy, by proposing bidirectional human-AI alignment, where both AI systems embed human values and humans gain skills to guide AI, aiming to foster trustworthy learning environments.
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 institutions with the skills to interpret, critique, and guide these technologies. Drawing on emerging research and practical case examples, we explore AI's evolution from support tool to collaborative partner, highlighting its impacts on teacher roles, student agency, and institutional governance. We propose actionable strategies for policymakers, developers, and educators to ensure that AI advances equity, transparency, and human flourishing rather than eroding them. By reframing AI adoption as an ongoing process of mutual adaptation, the chapter envisions a future in which humans and intelligent systems learn, innovate, and grow together.