MIT AI Risk Repository · Risk Category · 59.27.00
Level
Description
"The third axis of the taxonomy pertains to the level, which differentiates between the AI application and system levels, as they are defined in Section 3. Allocating an AI hazard to its level helps to determine the level at which an action is required. This consequently sets the basis for who is supposed to act."
From AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
Other entries from Schnitzer2024
- Inadequate specification of ODD
- Inappropriate degree of automation
- Inadequate planning of performance requirements
- Insufficient AI development documentation
- Inappropriate degree of transparency to end users
- Missing requirements for the implemented hardware
- Choice of untrustworthy data source
- Lack of data understanding
- Discriminative data bias
- Harming users’ data privacy
- Incorrect data labels
- Data poisoning