Whether you're curious about practical applications, what a "black box" means, or ethical considerations, tune in to this episode of AI Conversations where your questions lead the way!
Michael Curtin (Innovation Coordinator, Campus Research IT) and Eric Kurt (Media Commons Coordinator, University Library; Interim Manager, Scholarly Commons) share their perspectives on emerging generative AI technologies and answer questions from graduate students on the future of generative AI in your research and career.
This episode is part of our series AI at Illinois, where we delve into the impacts of artificial intelligence technologies on graduate students' research, teaching, and thinking. We hope you enjoy.
Your Questions:
How will generative AI affect research analysis and methods? (00:01:31)
How will generative AI affect the composition and performance of music? (00:10:15)
Do you think that this moment of generative AI raises the value of perceived originality and perceived human real connection? (00:15:38)
Is there an optimal AI enhanced workflow that any of you use for the research writing process? (00:22:15)
What scares you the most about AI, what should we as students be wary of? (00:28:41)
Is it possible to train an AI model using one's own data? (00:33:55)
What kinds of bias do we need to be aware of when we're thinking about an output of a system like generative AI? (00:38:26)
Want to read more of our AI @ Illinois series? Check it out on our GradLIFE blog!
Check out the complete GradLIFE Podcast on Buzzsprout or wherever you get your podcasts.
