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The term "black box" is used because the actual program being executed is not examined. In computing in general, a black box program is one where the user cannot see the inner workings (perhaps because it is a closed source program) or one which has no side effects and the function of which need not be examined, a routine suitable for re-use.
Machine learning (ML) algorithms used in AI can be categorized as white-box or black-box. [13] White-box models provide results that are understandable to experts in the domain. Black-box models, on the other hand, are extremely hard to explain and may not be understood even by domain experts. [14]
On the other hand, black-box testing has been said to be "like a walk in a dark labyrinth without a flashlight." [ 11 ] Because they do not examine the source code, there are situations when a tester writes many test cases to check something that could have been tested by only one test case or leaves some parts of the program untested.
Tesla gambles on ‘black box’ AI tech for robotaxis. Norihiko Shirouzu and Chris Kirkham. October 10, 2024 at 6:05 AM. ... even if it takes Tesla substantially more time to crack the code. "You ...
A white box (or glass box, clear box, or open box) is a subsystem whose internals can be viewed but usually not altered. [1] The term is used in systems engineering , software engineering , and in intelligent user interface design, [ 2 ] [ 3 ] where it is closely related to recent interest in explainable artificial intelligence .
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The social constructivist conception of black boxing doesn't delineate the physical components hidden inside an apparent whole; rather, what is black-boxed are associations, various actors from which the box is composed. Opening the hood of an electric car, for example, reveals only mechanical components.
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