Artificial intelligence

XAI: Explainable artificial intelligence | Federal News…

XAI: Explainable artificial intelligence | Federal News...

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Artificial intelligence is being added to many aspects of federal information technology programs.

Claire Walsh, vice president of Engineering, and Henry Jai, Data Science Capability lead at Excella, joined host John Gilroy on this week’s Federal Tech Talk to unpack some of the challenges in using AI, how AI is implemented, and what suggestions NIST has for taking advantage of AI.

Claire Walsh and Henry Jai, Excella

Walsh began the discussion with a confusing acronym — XAI. While “AI” stands for artificial intelligence and UX is user interface, the “X” in this abbreviation stands for “eXplainable,” in other words, “explainable artificial intelligence.”

Most of today’s artificial intelligence comes out of a black box and users can’t examine how a conclusion was derived. Much like your high school math teacher, XAI strives to show users how the answer was accomplished.

Jai has an extensive background in higher mathematics, and he looks at AI from the practical perspective of transparency. Once he can make a finding, he wants to have the ability to examine the validity of the data being used as well as having a system that is subject to human analysis.

The interview covered a wide range of topics ranging from ethics of AI to bias in data sets.

Claire Walsh, vice president of Engineering, and Henry Jai, Data Science Capability lead at Excella, joined host John Gilroy on this week’s Federal Tech Talk to unpack some of the challenges in using AI, how AI is implemented, and what suggestions NIST has for taking advantage of AI.

Source: https://artificialintelligence.piyasaa.com/xai-explainable-artificial-intelligence-federal-news/

Donovan Larsen

Donovan is a columnist and associate editor at the Dark News. He has written on everything from the politics to diversity issues in the workplace.

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