AI Transparency: What Is It And Why Do We Need It?
SearchCIO, May 11th, 2020
May 11, 2020,
Volume 266, Issue 2

While organizations are utilizing AI technology, there isn't a clear understanding of how it works. Here, we explore the benefits and drawbacks of the lack of transparency in AI

"Modern AI was born when rules-based software programming was no longer able to tackle the problems the computing world wanted to solve. It wasn't possible to code every condition the program had to measure, so computational experts designed machines that imitated how humans think, enabling AI to learn by itself by observing data. The approach, known as neural networking, gave rise to AI technologies like face recognition programs, cancer detection algorithms and self-driving cars..."

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Other articles in the IT - AI section of Volume 266, Issue 2:

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