Real-world risks (Risks of misuse of dual-use items and technologies)
AI Safety Governance Framework
National Technical Committee 260 on Cybersecurity (TC260) (2024)
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.
"Due to improper use or abuse, AI can pose serious risks to national security, economic security, and public health security, such as greatly reducing the capability requirements for non-experts to design, synthesize, acquire, and use nuclear, biological, and chemical weapons and missiles; and designing cyber weapons that launch network attacks on a wide range of potential targets through methods like automatic vulnerability discovery and exploitation."(p. 11)
Other risks from National Technical Committee 260 on Cybersecurity (TC260) (2024) (25)
Risks from models and algorithms (Risks of explainability)
7.4 Lack of transparency or interpretabilityRisks from models and algorithms (Risks of bias and discrimination)
1.1 Unfair discrimination and misrepresentationRisks from models and algorithms (Risks of robustness)
7.3 Lack of capability or robustnessRisks from models and algorithms (Risks of stealing and tampering)
2.2 AI system security vulnerabilities and attacksRisks from models and algorithms (Risks of unreliable output)
3.1 False or misleading informationRisks from models and algorithms (Risks of adversarial attack)
2.2 AI system security vulnerabilities and attacks