AI Has a Hallucination Problem That's Proving Tough to Fix

Tech companies are rushing to infuse everything with artificial intelligence, driven by big leaps in the power of machine learning software. But the deep-neural-network software fueling the excitement has a troubling weakness: Making subtle changes to images, text, or audio can fool these systems into perceiving things that aren’t there. That could be a big problem for products dependent on machine learning, particularly for vision, such as self-driving cars.
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Tech companies are rushing to infuse everything with artificial intelligence, driven by big leaps in the power of machine learning software. But the deep-neural-network software fueling the excitement has a troubling weakness: Making subtle changes to images, text, or audio can fool these systems into perceiving things that aren’t there. That could be a big problem for products dependent on machine learning, particularly for vision, such as self-driving cars.

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