This report aims to provide a structural overview of the current landscape of the definition and application of specific policies on the use of Generative Artificial Intelligence (hereinafter, GenAI) in Higher Education (hereinafter, HE), with an emphasis on governance. Various institutions establish policies governing the use/development/implementation of Artificial Intelligence (hereinafter, AI) at different levels, including local (such as universities), national, and international institutions (such as the European Union and UNESCO). To develop the report, traditional data sources (academic databases) and reference websites of institutions that develop global, national, and regional recommendations for AI governance policies, specifically in the field of HE, were used. The objective of this report is to map institutional policies and strategies related to the use of LLM in HE, identify key components, and develop guidelines for best practice and implementation. This way, key findings in the reports focus on key components of policies and best practices from actual deployed policies. Main findings are grouped and listed below: A) Key components for AI applied policies in HE institutions: • Legal and Ethical Requirements. • Acceptable Use and Detailed Guidelines. • Ethical Impact Declarations. • Training and AI Literacy Initiatives. • Critical Thinking Strategies. • Accountability and Enforcement Mechanisms. B) Best Practices in the deployment of AI Policies in HE institutions: • Legal and Ethical Practical Implementations. • Definitions of Acceptable Use and Clear Detailed Guidelines. • Assessment Redesign Proposals and Academic Integrity Rules. • Training and AI Literacy plans and certification. • Enforcement, Accountability, and Ethical Governance Practices.