"New Study Pinpoints the Weaknesses in AI"

A team of researchers at the University of Copenhagen is developing a language for discussing weaknesses in Machine Learning (ML) algorithms, which could lead to the creation of guidelines describing how algorithms should be tested. In the long run, this may lead to the development of better, more stable algorithms. One of the potential applications of this work could be testing algorithms for digital privacy protection. Some companies may claim to have made a secure solution for privacy protection. The team's methodology may help establish that the solution cannot be completely secure and identify points of weakness. This article continues to discuss the team's work in identifying weaknesses in AI.

The University of Copenhagen reports "New Study Pinpoints the Weaknesses in AI"

Submitted by grigby1