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Can we achieve fairness in machine learning? UNC researchers have new approach

From facial recognition software to employment and interview pre-screening, algorithms have been found to reinforce systemic biases, exacerbating existing asymmetries and inequities rather than reducing them. How can these be fought? UNC Kenan-Flagler Business School researchers have some ideas.

Listen carefully and keep pushing: Cherry Bekaert s Michelle Thompson

Debt crisis & taxes: We will simply have to spend less and raise more, UNC Tax Center exec warns

Words of warning: "In the long term, and likely to some extent in the short term, we will simply have to spend less and raise more. How we spend less and how we raise more are, of course, hugely charged political questions that we will need to sort out (soon!)," says professor Jeff Hoopes of UNC Tax Center.

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