Universitas Gadjah Mada Prepares a Comprehensive AI Roadmap
Universitas Gadjah Mada (UGM) is currently formulating a comprehensive Artificial Intelligence (AI) policy and roadmap for the 2025–2030 period. This strategic initiative aims to position UGM not only as a user, but also as a leader in the development and application of ethical, inclusive, and impactful AI in Indonesia and the ASEAN region.
The policy document highlights several critical challenges, including the absence of internal regulations on AI ethics and usage boundaries, limited computing and data infrastructure, low human resource (HR) capacity in AI, and fragmented AI initiatives across faculties. In addition, the utilization of AI within the Tridharma of Higher Education (education, research, and community service), as well as university governance, is still considered limited.
“Our vision is to position UGM as a pioneer and leader in the utilization and development of Artificial Intelligence that is ethical, inclusive, and impactful for education, research, and community service,” states the executive summary of the policy document. To achieve this vision, UGM will focus on five main missions: establishing AI governance and ethics, building a cross-faculty ecosystem, enhancing human resource capacity, promoting AI adoption in academic and managerial services, and strengthening research and innovation partnerships.
UGM’s strategic policy direction is structured around six main pillars. First, AI Governance and Regulation, including the development of UGM AI Guidelines covering ethics, transparency, accountability, security, and privacy, aligned with global principles such as UNESCO AI Ethics. Second, Infrastructure and Data Strengthening, through the establishment of an AI Computing Hub and an AI-ready data lake. Third, Human Resource Capacity Building and AI Literacy, involving training for lecturers and staff as well as integrating AI literacy into the curriculum.
The fourth pillar is AI Integration within UGM Systems, which includes implementing AI for adaptive learning, virtual tutors, predictive academic management analytics, and chatbot-based public services. The fifth pillar focuses on Multidisciplinary AI Research and Innovation, supported by internal funding schemes for cross-sector research (health, law, social sciences, engineering, agriculture) and the development of an AI Solution Lab. Lastly, National and Global Partnerships will be strengthened through collaborations with Badan Riset dan Inovasi Nasional (BRIN), Kementerian Komunikasi dan Informatika Republik Indonesia, Badan Siber dan Sandi Negara (BSSN), as well as international institutions such as UNESCO, Google AI, and OpenAI.
The UGM AI roadmap (2025–2030) will begin with the formulation of AI Guidelines and the establishment of an AI Ethics Committee in 2025. This will be followed by the development of an AI Computing Hub and HR training in 2026, and the establishment of the UGM AI Center in 2027. In 2028, AI will be implemented in learning systems and campus management, followed by its application in community service and public policy decision-making in 2029. By 2030, UGM aims to become Indonesia’s AI Policy Lab and a standard-setter for AI practices in higher education.
Key success indicators include the establishment of official AI policies and ethical guidelines, the operationalization of the UGM AI Center, the implementation of at least five AI-based academic and administrative services, over 70% of lecturers trained in AI, integration of AI into more than 10 study programs, and active collaboration with at least 10 industry and global partners.
With strong AI governance—supported by a University AI Council, an AI Ethics & Compliance Committee, a Technical Implementation Team, and active roles from faculties, units, and laboratories—Universitas Gadjah Mada is optimistic about becoming a key foundation in driving sustainable digital transformation and delivering broad societal impact.
