MIT's new generation of artificial intelligence: do not understand the problem even go look themselves

Recently, researchers at MIT have demonstrated a new generation of artificial intelligence technology that can fill knowledge gaps when browsing the web. In other words, questions that you don't understand can be read and studied on your own.

MIT's new generation of artificial intelligence: do not understand the problem of their own investigation (picture from Yahoo)

Researcher Regina Barzilay said that when people read an article, they always look for the right information that is useful. If you do not understand the content, it is usually search the Internet for relevant information to solve confusion.

For artificial intelligence, this process is not new. The team led by Regina Barzilay teaches the AI ​​Institute to access network resources. When there are problems that are difficult to understand, the system will try to extract and analyze the data texts, upload them to the Internet to search for understanding, and then the results will be analyzed with the initial analysis. Compared.

To this end, the researchers selected food contamination and shooting cases as test cases. The AI ​​had to extract information on food types, pollution types, and locations of pollution from nearly 300 documents from the former, from which the AI ​​extracted the name and location of the gunners. Information on the number of casualties. The test results show that compared with the traditional machine learning system, the accuracy of MIT's AI system is higher than 10%.

Obviously, MIT's research results have contributed a lot to AI intelligence, but from the threat theory point of view, giving AI more autonomy and learnability may also undermine human control.

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