Further complicating the use of AI is that underlying bias is often present in these technologies, and unless credit union leaders ask the right questions and carefully evaluate the algorithms driving the technology and the social contexts in which the technology is used, they could unwittingly participate in furthering inequality in their communities,” stated Chandra Middleton, a PhD candidate at the University of California, Irvine, in a recent report on the topic from the Filene Research Institute.

For the full story, please visit http://www.cunacouncils.org/news/16436/news-article/.

 

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