The Dr. Mariano Lao Global Studies Center at Silliman University has designed a framework that integrates the use of generative Artificial Intelligence in the teaching-learning and operations in the academe.
The framework acknowledges generative AI as an educational tool, and provides guidelines to ensure that academic integrity, ethical, and responsible use of technology are observed.
Dr. Dave Marcial, GSC director, said the framework demonstrates the University’s commitment to “embrace digital transformation” and empower all stakeholders – administrators, teachers/staff, students, parents, and the community.
The framework, he explained, recognizes AI as a “transformative educational technology tool that plays a pivotal role in the classroom, administration, and overall campus ecosystem. It also highlights potential advantages of AI in the teaching and learning process, as well as in the operations and management of the University,” Marcial said.
In the classroom, he said AI’s capacity to generate content can be harnessed, especially that as a tool, it can produce content across various media types, including text, images, music, and others.
Marcial said that AI does not only streamline the content creation process; it also promotes innovation and personalization. “It’s the bridge between human creativity and computational power, offering a dynamic blend of imagination and precision. It’s a means to effortlessly adapt and cater to diverse audiences, while keeping pace with the ever-evolving landscape of technology and innovation.”
The framework also highlights how AI can be an asset in SU’s operations and management. Foremost is AI’s capacity to be a “supercharged messenger,” which does not only disseminate information but also customizes it to meet individual needs. “More importantly, it democratizes information, making it accessible to all, regardless of language, disability, or location. Gen-AI is not just an asset; it’s a revolution in how we connect and communicate,” Marcial explained.
AI is also an ideal aide in performing robust data analysis and reporting. It ensures the uncovering of insights and clear communication of findings. Additionally, it safeguards data integrity and compliance, he said.
Marcial, however, admitted that AI integration comes with responsibilities, and the framework recommends the contextualization of Gen-AI usage — tailoring its application to specific situations, needs, and ethical considerations. He said this requires identifying goals and purpose, understanding context, considering types of data, developing ethical framework. Aside from contextualization, validation is also necessary to ensure quality and accountability.This may include risk assessment, bias and fairness assessment.
The framework also emphasizes responsible use as a compass for the users of AI. Marcial said that it is a commitment to ethics, transparency, and accountability, adding that responsibility is not a static concept.
“It’s a continual process of monitoring, adapting, and learning. It’s a collaboration between technology creators, users, and society. In the responsible use of generative AI, we forge a path to future where innovation and ethics go hand in hand, where AI enhances our lives without sacrificing our values,” Marcial said.
The integration of AI in SU aims to embrace technological advancements that increase productivity, personalized learning, enriched educational experience, better customer and support, better work-balance, and heightened valuing of innovation. (SU OIP)
