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AI security records indexed from public vulnerability, risk, and attack datasets.

Showing 361-380 of 3623 records

AI lifecycle stage

AI lifecycle stage is an AI risk focused on X.1 > Excluded. It is most relevant during 3 - Other.

Concept drift

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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...

Insufficient AI development documentation

Insufficient AI development documentation is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.4 > Lack of transparency or interpretabi...

Inadequate planning of performance requirements

Inadequate planning of performance requirements is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.3 > Lack of capability or robustne...

Inappropriate degree of automation

Inappropriate degree of automation is an AI risk in 7. AI System Safety, Failures, & Limitations focused on 7.2 > AI possessing dangerous capabilities. It is...