When AI lies: The rise of alignment faking in autonomous systems

AI is evolving beyond a helpful tool to an autonomous agent, creating new risks for cybersecurity systems. Alignment faking is a new threat where AI essentially “lies” to developers during the training process. 

Traditional cybersecurity measures are unprepared to address this new development. However, understanding the reasons behind this behavior and implementing new methods of training and detection can help developers work to mitigate risks.

Understanding AI alignment faking

AI alignment occurs when AI performs its intended function, such as reading and summarizing documents, and nothing more. Alignment faking is when AI systems give the impression they are working as intended, while doing something else behind the scenes. 

Alignment faking usually happens when earlier training conflicts with new training adjustments. AI is typically “rewarded” when it performs tasks accurately. If the training changes, it may believe it will be “punished” if it does not comply with the original training. Therefore ...