EPISODE · Aug 6, 2024 · 30 MIN
077 – Looking to the Future of AI for Higher Education
from The IDEMS Podcast · host IDEMS International
In this episode, we explore the future of AI in education through a discussion with Lily and David, focusing on the potential and limitations of AI technologies. They break down the future into four key categories: tasks that AI will never achieve perfectly, tasks that are a matter of "when" not "if", transformative innovations on the horizon, and areas with substantial unknowns. The conversation includes examples like the challenges of AI detecting AI-generated content, the potential of AI-based personal tutors, and the complexities of maintaining historical accuracy while promoting diversity. This is the fifth episode in the Responsible AI for Lecturers (RAILect) series on the IDEMS podcast.
What this episode covers
In this episode, we explore the future of AI in education through a discussion with Lily and David, focusing on the potential and limitations of AI technologies. They break down the future into four key categories: tasks that AI will never achieve perfectly, tasks that are a matter of "when" not "if", transformative innovations on the horizon, and areas with substantial unknowns. The conversation includes examples like the challenges of AI detecting AI-generated content, the potential of AI-based personal tutors, and the complexities of maintaining historical accuracy while promoting diversity. This is the fifth episode in the Responsible AI for Lecturers (RAILect) series on the IDEMS podcast.
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077 – Looking to the Future of AI for Higher Education
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