Robust AI: Protecting neural networks against adversarial attacks

In its latest annual report, filed with the Securities and Exchange Commission, tech giant Alphabet warned investors against the many challenges of artificial intelligence, following the lead of Microsoft, which issued similar warnings last August. Recent advances in deep learning and neural networks have created much hope about the possibilities that AI presents to various domains that were previously thought to be off the limits for computer software. But there's also concern about new threats AI will pose to different fields, especially where bad decisions can have very destructive results. We've already seen some of these threats manifest themselves in various ways, including biased algorithms, AI-based forgery and the spread of fake news during important events such as elections. The past few years have seen the development of a growing discussion around building trust in artificial intelligence and creating safeguards that prevent abuse and malicious behavior of AI models.