Responsible Artificial Intelligence Adoption in Open and Distance Education: Opportunities, Risks, and an Institutional Framework

Artificial intelligence (AI), especially generative AI, is increasingly influencing higher education by transforming teaching, learner support, digital content development, administration, and research. In open and distance education, AI can improve service responsiveness, automate repetitive tasks, enhance digital learning materials, and support data-informed decision-making. However, AI adoption also raises concerns related to privacy, misinformation, academic integrity, copyright, and institutional readiness. This paper analyzes the opportunities and challenges of AI in open and distance education and proposes a practical framework for responsible implementation. Using a design-oriented analytical approach, the study develops an institutional model consisting of five layers: infrastructure and data security, official knowledge and digital learning resources, shared AI services, AI-enabled applications, and governance with ethics and evaluation. The paper argues that AI should be deployed as a human-centered support system rather than a substitute for educators or administrators.