É«ºÐÖ±²¥ podcast: is AI in higher education worth the hype?
We may be a long way from understanding exactly how higher education can harness AI and machine learning’s great potential safely, but this episode's guests say that continuing to test and explore it is the only way to make progress
Created in partnership with
Created in partnership with
Anthology
Anthology provides data-informed education technology experiences to enable and empower the global education community
Key Details
Artificial intelligence has a lot of potential for higher education. It can automate onerous tasks for teachers, help researchers leapfrog exercises that require complex computing skills and make higher education more accessible and personalised for students. But the risks of using AI are high, including biases that could be built into algorithms and a lack of transparency around data usage.
Though we may be a long way from understanding exactly how higher education can harness AI and machine learning’s great potential in a safe way, this episode's guests say that continuing to test and explore it is the only way to make progress.
Join É«ºÐÖ±²¥ Campus editor Sara Custer and senior content curator Miranda Prynne as they speak with Ashok Goel, a professor of computer science and human-centered computing at the Georgia Institute of Technology and the developer of the first automated teaching assistant, as well as John Wu an assistant astronomer at the Space Telescope Science Institute and an associate research scientist at Johns Hopkins University.
