Artificial Intelligence in Lifelong Learning: Opportunities and Challenges in Adult Education Policy

Theodora and Tselios (2026) provide a policy-oriented synthesis of AI's dual role in adult and Lifelong Learning contexts — as both an enabler of personalized, scalable education and a source of significant equity and governance challenges. Drawing on international policy frameworks, the paper argues that AI integration in adult education requires balanced policies promoting inclusion, transparency, and human-centered pedagogy.

The paper fills a notable gap in the Stanford Evidence Base AI K12 2026 and related literature, which has predominantly focused on K-12 and higher education. Adult learners face distinct challenges: they are more likely to be affected by the Equity, have less institutional support than traditional students, and often engage in self-directed learning where AI tools may operate with minimal human oversight. The paper's emphasis on Educational Policy AI responsibilities connects to broader Regulation discussions.

Key tensions identified include the promise of Intelligent Tutoring and Learning Analytics for personalized workforce development versus risks of Bias Mitigation and Over Reliance. The call for "responsible innovation" aligns with Equity frameworks in educational AI and echoes concerns about AI Tutor Safety Harms in contexts where adult learners may lack the support structures available in formal education. For Faculty Development and Teacher Role in adult education, the paper highlights the urgent need for educator training in AI literacy — a theme consistent with AI Pedagogical Orientation research.

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Andresa Theodora, Nikolaos Tselios (2026). Artificial Intelligence in Lifelong Learning: Opportunities and Challenges in Adult Education Policy. arXiv:2605.16296. arXiv:2605.16296 [cs.CY].