Using AI systems to develop cyber weapons (e.g., by coding cheaper, more effective malware), develop new or enhance existing weapons (e.g., Lethal Autonomous Weapons or chemical, biological, radiological, nuclear, and high-yield explosives), or use weapons to cause mass harm.
"Malicious code is a term for code—whether it be part of a script or embedded in a software system—designed to cause damage, security breaches, or other threats to application security. Advanced AI assistants with the ability to produce source code can potentially lower the barrier to entry for threat actors with limited programming abilities or technical skills to produce malicious code. Recently, a series of proof-of-concept attacks have shown how a benign-seeming executable file can be crafted such that, at every runtime, it makes application programming interface (API) calls to an AI assistant. Rather than just reproducing examples of already-written code snippets, the AI assistant can be prompted to generate dynamic, mutating versions of malicious code at each call, thus making the resulting vulnerability exploits difficult to detect by cybersecurity tools. Furthermore, advanced AI assistants could be used to create obfuscated code to make it more difficult for defensive cyber capabilities to detect and understand malicious activities. AI-generated code could also be quickly iterated to avoid being detected by traditional signature-based antivirus software. Finally, advanced AI assistants with source code capabilities have been found to be capable of assisting in the development of polymorphic malware that changes its behavior and digital footprint each time it is executed, making them hard to detect by antivirus programs that rely on known virus signatures. Taken together, without proper mitigation, advanced AI assistants can lower the barrier for developing malicious code, make cyberattacks more precise and tailored, further accelerate and automate cyber warfare, enable stealthier and more persistent offensive cyber capabilities, and make cyber campaigns more effective on a larger scale."(p. 72)
Part of Malicious Uses
Other risks from Gabriel et al. (2024) (69)
Capability failures
7.3 Lack of capability or robustnessCapability failures > Lack of capability for task
7.3 Lack of capability or robustnessCapability failures > Difficult to develop metrics for evaluating benefits or harms caused by AI assistants
6.5 Governance failureCapability failures > Safe exploration problem with widely deployed AI assistants
7.3 Lack of capability or robustnessGoal-related failures
7.1 AI pursuing its own goals in conflict with human goals or valuesGoal-related failures > Misaligned consequentialist reasoning
7.3 Lack of capability or robustness