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 / Modified feb 20, 2020 4:03 p.m.

Episode 220: Understanding the positives and negatives of machine learning

The AI revolution comes with great promise, but also peril.
by Tony Perkins

AZSCI 220 Machine Learning The use of large computer data sets is a fundamental part of modern research.
Pixabay

The Research Corporation for Science Advancement
Arizona Science

Understanding the positives and negatives of machine learning

This episode is supported by the The Research Corporation for Science Advancement.
NPR
Episode 220: University of Arizona computer scientist Carlos Scheidegger

University of Arizona computer scientist Carlos Scheidegger is studying how we interpret huge data sets that allow computers to improve our lives. But he warns there are perils along with the promise that machine learning brings to society.

Scheidegger will be a featured speaker at the College of Science's annual public lecture series Tuesday, Feb. 25.

Arizona Science
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