A Black Box: What it means when the inner workings of an AI’s machine learning are hidden from users
By Saurabh Bagchi, Professor of Electrical and Computer Engineering, Purdue University For some people, the term “black box” brings to mind the recording devices in airplanes that are valuable for postmortem analyses if the unthinkable happens. For others it evokes small, minimally outfitted theaters. But black box is also an important term in the world of artificial intelligence. AI black boxes refer to AI systems with internal workings that are invisible to the user. You can feed them input and get output, but you cannot examine the system’s code or the logic that produced the output. Machine learning is...
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