Could AI predict the future? - Thomas Hofweber
Could AI predict the future? - Thomas Hofweber with tags ai, artificial intelligence, predictive models, ai prediction, ai predictive model, ai transparency, ai algorithm, algorithm transparency, explainability, ai explainability, ai systems, transparency paradox, ai paradox, ai transparency problem, transparency problem, technology, technology paradox, user accountability, accountability, ai ethics, marriage, marriage prediction, psychology, education, animation, thomas hofweber, hannah lau-walker, ted, ted-ed, ted ed, teded, ted education
Explore one of the main issues of AI-based predictive models and how it affects user decision-making and accountability.
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A couple has been considering getting engaged, but they’re worried about divorce statistics. An AI-based model was just released that can predict your likelihood of divorce with 95% accuracy. The only catch is the model doesn’t offer any reasons for its results. So, should they decide whether or not to get married based on this AI’s prediction? Thomas Hofweber explores AI’s transparency problem.
Lesson by Thomas Hofweber, directed by Hannah Lau-Walker.
This video was produced in collaboration with the Parr Center for Ethics, housed within the renowned Philosophy Department at the University of North Carolina at Chapel Hill. The Parr Center is committed to integrating abstract work in ethical theory with the informed discussion of practical ethical issues, and prides itself on the development of innovative and inclusive approaches to moral and civic education.
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