Bidirectional Human-AI Alignment in Education for Trustworthy Learning Environments

TL;DR

This paper advocates for a bidirectional approach to human-AI alignment in education, emphasizing mutual adaptation to foster trustworthy, equitable, and transparent learning environments that enhance human flourishing.

Contribution

It introduces the concept of bidirectional human-AI alignment in education, highlighting the importance of mutual adaptation for trustworthy and equitable learning environments.

Findings

AI evolves from support tool to collaborative partner

Strategies for ensuring AI equity and transparency

Impact on teacher roles and student agency

Abstract

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.