MIT AI Risk Repository · Risk Sub-Category · 60.02.01

Reliability issues

Category: Risks from malfunctions

Description

"Relying on general-purpose AI products that fail to fulfil their intended function can lead to harm. For example, general- purpose AI systems can make up facts (‘hallucination’), generate erroneous computer code, or provide inaccurate medical information. This can lead to physical and psychological harms to consumers and reputational, financial and legal harms to individuals and organisations."

From International AI Safety Report 2025 (Bengio2025), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Causal entity
Human

Subdomain definition: AI systems that fail to perform reliably or effectively under varying conditions, exposing them to errors and failures that can have significant consequences, especially in critical applications or areas that require moral reasoning.

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How other frameworks describe this risk

Other entries from Bengio2025