The university updated its curriculum and training programs to integrate AI capabilities, promoting innovative teaching, learning, and assessment while avoiding spontaneous or isolated AI use.

Key warnings emphasize that AI outputs require verification, and students must own their work with transparency where needed.

The overarching goal is to enable students to use AI responsibly to learn more effectively, conduct deeper research, and expand their capabilities without compromising academic integrity.

A comprehensive set of AI learning materials accompanies the framework, covering foundational skills, applications in learning and careers, and innovations in teaching and research for both students and faculty.

The AI Competency Framework for Students, developed with Meta Group, defines six domains of AI competence from basic to advanced, stressing understanding of AI and data, critical evaluation of outputs, and ethical responsibility.

AI is framed as a tool to expand thinking and capabilities, not replace independent thought; when used properly, it enhances creativity, analysis, and decision-making while preserving methodological rigor and ethics.

Student voices indicate AI is becoming a familiar learning tool, but its quality hinges on critical evaluation, source verification, and avoiding substitution of machine outputs for original work.

The initiative reflects a broad shift toward curriculum redesign, faculty capability building, and new technology standards to produce responsible, creative digital citizens capable of adapting to ongoing tech change.

AI integration is viewed as transforming curriculum, faculty capability, learning methods, research approaches, and technology standards, not just adding a single software tool.

Key principles focus on knowing when and how to use AI, verifying outputs, handling data ethically, acknowledging AI support, and maintaining academic responsibility.

All staff and lecturers have received training on using AI in teaching, research, and community service to ensure pedagogical alignment and standards.

The university aims to integrate AI across the entire curriculum, recognizing its impact across professional fields rather than treating it as a separate subject.