Artificial intelligence in a multi-disciplinary university: From adoption to stewardship

Artificial intelligence (AI) has evolved as a routine component of academic ecosystems from its original experimental phase.In a multidisciplinary university, it no longer remains limited to science, technology, engineering, and mathematics but expands across all academic disciplines such as humanities, law, business, and sciences.AI can enhance teaching and learning in universities through personalized learning systems, intelligent tutoring, and automated assessments. [1]It accelerates research and innovation by enabling large-scale data analysis, literature mining, and predictive modeling across disciplines.AI also improves institutional administration through learning analytics, resource planning, and intelligent student support systems. [2]The adoption of AI in an academic environment has become inevitable and is no longer a question, but leads to questions on its stewardship.