Artificial Intelligence and Machine Learning (ML) algorithms are vulnerable to cyber attacks as evidenced by research studies that work on “fooling” AI and ML based devices by changing one or more features in the process. While there are efforts to build more robust AI and ML systems, policies governing the use of these technologies should include a component that address the cybersecurity vulnerabilities inherent in them
