category
AI Risks
Common risks that can happen when AI systems are built, deployed, or used.
Showing 441-460 of 1769 records
Mode is an AI risk focused on X.1 > Excluded. It is most relevant during 4 - Not coded.
(5) Monitoring and maintenance is an AI risk focused on X.1 > Excluded. It is most relevant during 2 - Post-deployment.
(1) Scoping is an AI risk focused on X.1 > Excluded. It is most relevant during 1 - Pre-deployment.
AI lifecycle stage is an AI risk focused on X.1 > Excluded. It is most relevant during 3 - Other.
Concept drift is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.4 > Lack of transparency or interpretability. It is most relevant du...
Data drift is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most relevant during 2 - Po...
Operational data issues is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most relevant...
Lack of robustness is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most relevant durin...
Unreliability in corner cases is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most rel...
Lack of explainability is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.4 > Lack of transparency or interpretability. It is most re...
Over- and underfitting is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most relevant d...
Poor model design choices is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most relevan...
Inappropriate data splitting is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.0 > AI system safety, failures, & limitations. It is...
Problems of synthetic data is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most releva...
Insufficient data representation is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most...
Incorrect data labels is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustness. It is most relevant du...
Discriminative data bias is an AI risk in 1. Discrimination & Toxicity focused on 1.1 > Unfair discrimination and misrepresentation. It is most relevant duri...
Lack of data understanding is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.0 > AI system safety, failures, & limitations. It is mo...
Choice of untrustworthy data source is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.0 > AI system safety, failures, & limitations...
Inappropriate degree of transparency to end users is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.4 > Lack of transparency or inte...