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The Intersection of Critical Thinking Skills and AI: Ethics, Governance, and Policy
Manage episode 431543700 series 2848568
In the third episode of this four-part series, Dr. Leo Lo of the University of New Mexico, Katie Metzler of Sage Publishing, and author and tech philosopher Dr. Tom Chatfield dig into the ethics and institutional policies for generative AI tools. Surfacing the lack of widespread AI governance, the guests highlight the need for institutions to provide guidance to educators and students. In fact, they underscore the benefits of viewing AI training as a collaborative experience between undergraduates and faculty, aided by support from administration, the library, and publishers. Further, our guests speak to key ethical questions surrounding the use of GenAI in the classroom. Leo spotlights issues around the digital divide, while Tom warns of the dangers in using AI tools as a one-size-fits-all solution to the holistic needs of today’s students. Finally, Leo, Tom, and Katie discuss the bias and discrimination present in AI training data, the importance of reducing “noise” in datasets, and examples of what biases can generate in large language models.
Missed an episode? Subscribe to our monthly newsletter, Choice Podcast Updates, and check out the Authority File Round-Up on our blog, Open Stacks!
424 episodes
Manage episode 431543700 series 2848568
In the third episode of this four-part series, Dr. Leo Lo of the University of New Mexico, Katie Metzler of Sage Publishing, and author and tech philosopher Dr. Tom Chatfield dig into the ethics and institutional policies for generative AI tools. Surfacing the lack of widespread AI governance, the guests highlight the need for institutions to provide guidance to educators and students. In fact, they underscore the benefits of viewing AI training as a collaborative experience between undergraduates and faculty, aided by support from administration, the library, and publishers. Further, our guests speak to key ethical questions surrounding the use of GenAI in the classroom. Leo spotlights issues around the digital divide, while Tom warns of the dangers in using AI tools as a one-size-fits-all solution to the holistic needs of today’s students. Finally, Leo, Tom, and Katie discuss the bias and discrimination present in AI training data, the importance of reducing “noise” in datasets, and examples of what biases can generate in large language models.
Missed an episode? Subscribe to our monthly newsletter, Choice Podcast Updates, and check out the Authority File Round-Up on our blog, Open Stacks!
424 episodes
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