Tuesday, October 15, 2024

Why we need a balanced, two-tier approach to AI governance - Tianchong Wang and Libing Wang, University World News

Artificial intelligence’s transformative effect on higher education has moved from a distant vision to a rapidly unfolding reality. Its potential to revolutionise teaching, learning, research and administration has sparked widespread optimism and anticipation about what it will mean for the future of the sector. Yet, this rapid integration of AI also presents significant challenges. Higher education institutions are facing complex ethical dilemmas, including concerns about algorithmic bias, data privacy and the potential impact on equity. To address these concerns, comprehensive governance frameworks are essential.