During its session, the Council of Graduate Studies and Research at Alexandria University, chaired by Prof. Hisham Saeed, Vice President for Graduate Studies and Research, discussed the strategic objectives for AI governance at the university. This comes as part of the state’s direction toward digital transformation and the enhanced utilization of advanced technologies to support the development of higher education and scientific research systems.

The Council reviewed an analysis of the current status of AI applications within the university. Prof. Hisham Saeed highlighted several promising initiatives in digital education, research data analysis, and smart application development.

However, he emphasized the need for an integrated institutional framework to unify vision and maximize the benefits of these efforts.

The Council outlined a set of strategic objectives for adopting AI, including: developing the educational process by integrating AI concepts and applications into academic programs across disciplines to prepare graduates for future labor market demands; enhancing scientific research and innovation through the use of AI tools in data analysis, pattern discovery, and high-impact international publishing; and achieving intelligent digital transformation of university operations, including academic management systems, student services, and resource management based on data-driven solutions.

The objectives also include strengthening international partnerships and collaboration with leading universities, research institutions, and technology companies to support knowledge transfer and exchange of expertise. In addition, the Council stressed the importance of ensuring the safe and responsible use of AI by establishing regulatory and ethical frameworks, while adhering to data protection and privacy standards. It also emphasized leveraging AI applications to serve the community and local economy, contributing to the achievement of sustainable development goals.

The Council discussed key performance indicators (KPIs) to measure progress in implementing the strategy.This include the number of developed academic programs in AI, the volume of AI-related scientific publications, the number of international partnerships and joint projects, the level of digital transformation in university services, and the rates of training and capacity building for faculty members.