Security Holes In Machine Learning And AI

Machine learning and AI developers are starting to examine the integrity of training data, which in some cases will be used to train millions or even billions of devices. But this is the beginning of what will become a mammoth effort, because today no one is quite sure how that training data can be corrupted, or what to do about it if it is corrupted. Machine learning, deep learning and artificial intelligence are powerful tools for improving the reliability and functionality of systems and speeding time to market. But the AI algorithms also can contain bugs, subtle biases, or even malware that can go undetected for years, according to more than a dozen experts interviewed over the past several months. In some cases, the cause may be errors in programming, which is not uncommon as new tools or technologies are developed and rolled out. Machine learning and AI algorithms are still being fine-tuned and patched.