1. Introduction This paper introduces the C.L.A.I.R. for IHE framework – a scholarly and practical approach to Artificial Intelligence (AI) literacy designed for the unique and complex domain of International Higher Education (IHE). As AI continues its rapid permeation into all facets of global society, its impact on IHE—a sector characterized by cross-border collaboration, diverse student and staff populations, and multifaceted international operations—is particularly profound and warrants a specialized strategy for workforce development. The CLAIR for IHE framework, an acronym for Capability, Literacy, Adaptability, Interculturality, and Responsibility, offers a comprehensive and capability-centric model to cultivate AI fluency among IHE professionals. The framework is underpinned by the CLAIRvoyance Cycle, a distinct, iterative methodology guiding IHE professionals to: Contextualize AI within their specific IHE role and global setting; Learn about fundamental AI capabilities and ethical principles; Apply AI tools and capability understanding to IHE tasks innovatively; Interculturally engage with and evaluate AI outputs and processes; and Responsibly adapt practices and strategies based on AI’s evolution and impact. This approach moves beyond transient tool-based training, focusing instead on a durable understanding of AI’s core abilities, primarily informed by the OECD AI Capability Indicators.1 The IHE sector’s inherent complexity, encompassing diverse stakeholders, cross-border operations, […]