Risks from models and algorithms (Risks of unreliable output)
AI Safety Governance Framework
National Technical Committee 260 on Cybersecurity (TC260) (2024)
AI systems that inadvertently generate or spread incorrect or deceptive information, which can lead to inaccurate beliefs in users and undermine their autonomy. Humans that make decisions based on false beliefs can experience physical, emotional or material harms
"Generative AI can cause hallucinations, meaning that an AI model generates untruthful or unreasonable content but presents it as if it were a fact, leading to biased and misleading information."(p. 7)
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 adversarial attack)
2.2 AI system security vulnerabilities and attacksRisks from data (Risks of illegal collection and use of data)
2.1 Compromise of privacy by leaking or correctly inferring sensitive information