Risks from AI systems (Risks of supply chain security)
AI Safety Governance Framework
National Technical Committee 260 on Cybersecurity (TC260) (2024)
AI developers or state-like actors competing in an AI ‘race’ by rapidly developing, deploying, and applying AI systems to maximize strategic or economic advantage, increasing the risk they release unsafe and error-prone systems.
"The AI industry relies on a highly globalized supply chain. However, certain countries may use unilateral coercive measures, such as technology barriers and export restrictions, to create development obstacles and maliciously disrupt the global AI supply chain. This can lead to significant risks of supply disruptions for chips, software, and tools."(p. 9)
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