Jim Shelton, Yale News; Elisa Celis and the fight for fairness in artificial intelligence
"What can you tell us about the new undergraduate course you’re teaching at Yale?
It’s called “Data Science Ethics.” I came in with an idea of what I
wanted to do, but I also wanted to incorporate a lot of feedback from
students. The first week was spent asking: “What is normative ethics?
How do we even go about thinking in terms of ethical decisions in this
context?” With that foundation, we began talking about different areas
where ethical questions come out, throughout the entire data science
pipeline. Everything from how you collect data to the algorithms
themselves and how they end up encoding these biases, and how the
results of biased algorithms directly affect people. The goal is to
introduce students to all the things they should have in their mind when
talking about ethics in the technical sphere.
The class doesn’t require coding or technical background, because
that allows students from other departments to participate. We have
students from anthropology, sociology, and economics, and other
departments, which broadens the discussion. That’s very valuable when
grappling with these inherently interdisciplinary problems."
Showing posts with label data science ethics. Show all posts
Showing posts with label data science ethics. Show all posts
Wednesday, November 6, 2019
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