Malicious use and abuse (cyberattacks)
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.
"Generative AI can help amplify the frequency and destructiveness of cyberattacks.311 It has the capacity “to increase the accessibility, success rate, scale, speed, stealth, and potency of cyberattacks. It enables the identification of critical vulnerabilities within targeted systems, facilitates the increase of the scale of cyberattacks, and accelerates the process by discovering innovative methods of system infiltration. Cyberattacks can inflict significant damage and may impact critical infrastructure, including electrical grids, financial systems, and weapons management systems."(p. 73)
Other risks from G'sell (2024) (33)
Technical and operational risks
7.3 Lack of capability or robustnessTechnical and operational risks > Technical vulnerabilities (Robustness - unexpected behaviour)
7.3 Lack of capability or robustnessTechnical and operational risks > Technical vulnerabilities (Robustness - vulnerability to jailbreaking
2.2 AI system security vulnerabilities and attacksTechnical and operational risks > Technical vulnerabilities (The risk of misalignment)
7.1 AI pursuing its own goals in conflict with human goals or valuesTechnical and operational risks > Factually incorrect content (inaccuracies and fabricated sources)
3.1 False or misleading informationTechnical and operational risks > Opacity (the black box problem)
7.4 Lack of transparency or interpretability