It poses a risk agreed University of Maryland University College cybersecurity faculty members Emma Garrison-Alexander, Tamie Santiago and Candice Smith, who explored the influence of AI bias on society in a Facebook Live panel discussion Feb. 13.

“Often times we tell ourselves that by using [AI] technology we are freeing up our mind to use on other projects,” said Smith, associate professor in the UMUC graduate cybersecurity technology program. But over time in the process, she suggested we sacrifice cognitive functioning.

“We let AI do all these executive functions for us. It almost allows us to dumb ourselves down and not take responsibility for our own learning and mental capacity,” Smith said.Continue Reading

University of Maryland University College cybersecurity faculty members Emma Garrison-Alexander, Tamie Santiago and Candice Smith will explore the influence of AI bias on society in a Facebook Live panel discussion on Feb. 13

It’s no secret that artificial intelligence (AI) has a bias problem. Machine learning bias, a phenomenon occurring when an algorithm produces results that are systematically prejudiced, affects many aspects of our society including racial partiality in hiring, policing, judicial sentencing and, as recently discussed in a New York Times editorial, healthcare.Continue Reading