Carnegie Mellon University
March 16, 2017

Datta publishes article on automated decision-making tasks

Anupam Datta recently published an article in The Conversation on automated decision-making tasks. Specifically, Datta explored the issue of using machine learning algorithms for credit decisions. Under federal law, people who apply for a loan from a bank or credit card company, and are turned down, are owed an explanation of why that happened. "Getting an answer wasn't much of a problem in year past, when humans made those decisions. But today, as artificial intelligence systems increasingly assist or replace people making credit decisions, getting those explanations has become much more difficult," writes Datta. He explains how his research group developed a method to better understand how these algorithms make complex decisions. Read the article here.