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Public policy creating “AI Security Compliance” programs will reduce the risk of attacks on AI systems and lower the impact of successful attacks.

This report proposes “AI Security Compliance” programs to protect against AI attacks. These areas are attractive targets for attack, and are growing more vulnerable due to their increasing adoption of artificial intelligence for critical tasks. There are five areas most immediately affected by artificial intelligence attacks: content filters, the military, law enforcement, traditionally human-based tasks being replaced by AI, and civil society. Data can also be weaponized in new ways using these attacks, requiring changes in the way data is collected, stored, and used.Ĭritical parts of society are already vulnerable. For the first time, physical objects can be now used for cyberattacks (e.g., an AI attack can transform a stop sign into a green light in the eyes of a self-driving car by simply placing a few pieces of tape on the stop sign itself). Further, AI attacks fundamentally expand the set of entities that can be used to execute cyberattacks. Unlike traditional cyberattacks that are caused by “bugs” or human mistakes in code, AI attacks are enabled by inherent limitations in the underlying AI algorithms that currently cannot be fixed. These “AI attacks” are fundamentally different from traditional cyberattacks. As artificial intelligence systems are further integrated into critical components of society, these artificial intelligence attacks represent an emerging and systematic vulnerability with the potential to have significant effects on the security of the country. The methods underpinning the state-of-the-art artificial intelligence systems are systematically vulnerable to a new type of cybersecurity attack called an “artificial intelligence attack.” Using this attack, adversaries can manipulate these systems in order to alter their behavior to serve a malicious end goal. Artificial intelligence systems can be attacked.