Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.
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Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.
Predicting Mental Illness Through AI with Stevie Chancellor
The Radical AI Podcast
55 minutes 54 seconds
4 years ago
Predicting Mental Illness Through AI with Stevie Chancellor
How is AI used to predict mental illness? What are the benefits and challenges to its use?
In this episode we interview Stevie Chancellor about AI, mental health, and the benefits and challenges of machine learning systems that are used to predict mental illness.
Stevie Chancellor is an Assistant Professor in the Department of Computer Science & Engineering at the University of Minnesota - Twin Cities. Her research combines human-computer interaction and machine learning approaches to build and critically evaluate machine learning systems for pressing social issues, focusing on high-risk health behaviors in online communities.
Full show notes for this episode can be found at Radicalai.org.
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The Radical AI Podcast
Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.
