The field of Artificial Intelligence (AI) in education and research is moving towards a more responsible and governance-oriented approach. Recent developments highlight the need for frameworks and strategies that address the challenges of AI adoption in higher education institutions and decentralized organizations. The focus is on creating adaptive governance models that balance central coordination with local autonomy, while ensuring alignment with responsible AI principles. Researchers are also exploring the conditional adoption of AI in mission-driven organizations, where AI integration is driven by organizational sovereignty and mission integrity. Noteworthy papers include: An Adaptive Responsible AI Governance Framework for Decentralized Organizations, which proposes a modular governance approach for complex organizational settings. AI Adoption Across Mission-Driven Organizations, which provides empirical evidence on the selective adoption of AI in resource-constrained, values-driven organizations.