The National Science Foundation, in partnership with Amazon, has awarded U-M a Fairness in Artificial Intelligence (AI) grant for research on identifying and mitigating bias in AI and Machine Learning systems to achieve long-lasting equitable outcomes.
“There is an increasing awareness in the AI research community of the issue of bias,” says Mingyan Liu, professor of electrical and computer engineering and principal investigator for U-M. “There’s a lot we need to learn if we want solutions that achieve equity in the long-term.”
The project focuses on automated or algorithmic decision-making that still involves some level of human participation. This includes learning algorithms that are trained using data collected from humans, or algorithms that are used to make decisions that impact humans. Such algorithms make predictions based on observable features, which can then be used to evaluate college applications or recommend sentences in a court of law, for example.
