AI in Education
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Fostering Knowledge Exchange on a Human-Centered Approach to AI in Higher Education

AI in Education Editorial•••Updated July 14, 2026•1 min read•Read source
Fostering Knowledge Exchange on a Human-Centered Approach to AI in Higher Education
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Skip to main content On 2 September 2025, UNU hosted a seminar on the applications of artificial intelligence (AI) in higher education. Titled "Human-Centered Approach to AI in Higher Education: Knowledge Exchange Between Asia and Japan", it examined emerging best practices, key challenges and potential opportunities for advancing a human-centered approach to AI integration within higher education institutions (HEIs). The event engaged 37 participants of the Professional Development Program (PDP) for AI Application in Education, organized by the Asian Development

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People Also Ask

How are universities using AI today?▾
Universities use AI for personalized learning platforms, automated grading of objective assessments, early-alert systems that flag at-risk students, and AI-powered research tools. Institutions like Georgia Tech and Carnegie Mellon have deployed AI teaching assistants in large online courses to provide instant student support.
What are the risks of AI in higher education?▾
Key risks include academic dishonesty through AI-written essays, over-reliance on AI that weakens critical thinking, equity gaps from uneven access to premium AI tools, and potential job displacement of adjunct instructors if AI tutors scale. Privacy concerns arise from student data processed by third-party AI vendors.
How do colleges handle AI-written assignments?▾
Most colleges have updated academic integrity policies to address AI. Common approaches require disclosure of AI use, prohibit AI for certain high-stakes assessments, and shift evaluations toward in-person demonstrations or AI-resistant formats like oral exams and process portfolios. Detection tools like Turnitin AI are widely deployed but not infallible.
Will AI change college admissions?▾
AI is already affecting college admissions through AI-assisted essay writing by applicants and AI screening tools used by admissions offices. Many institutions now include supplemental in-person writing samples to verify essay authenticity. Long-term, AI may also personalize recommendations and predict student success to inform holistic admissions decisions.

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