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New research brings AI algorithms closer to being able to explain themselves

13 de novembro de 2023 Hi-network.com
Researchers at the University of California, Berkeley, and the Max Planck Institute for Informaticshave made a step towards explainable artificial intelligence (AI) algorithms, by designing a 'pointing and justification' system that enables algorithms to point to the data used to make a decision and justify why it was used that way. As explained by Quartz, the system 'picks an idea from the mind of a machine and translates it for humans. Rather than displaying a decision as a series of mathematical equations, the machine can again do the heavy lifting to interpret its results.' Although the proposed system only works with a specific scenario (recognizing human actions in pictures), it opens the door towards future general AI algorithms that can explain their actions in a clear and easy to understand manner.

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