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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]
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 .
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.
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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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Tesla aims to stun investors Thursday night with its long-awaited “robotaxi unveil," a potential milestone after a decade of Elon Musk’s unfulfilled promises to deliver self-driving vehicles.
Subsymbolic methods emphasize prediction over explanation, and yield models which works well but are difficult or impossible to explain which has earned them the name black box AI. A black-box model cannot be considered a scientific hypothesis, and this development has even led some researchers to suggest that the traditional aim of science ...