Rule set sha256:274f72f3b49b

rego-art10-001

One rule of the rule set with digest 274f72f3b49ba2594098351e9f3268903df77a0bd87d5e528f0aa77492d45d25. An audit record that names this digest and this rule was decided by the rule as shown here. Every rule in this set.

Rulerego-art10-001
Rule versionf9141fbc92644900ded7fb692a7b99b367a4709da3c48a6ba95eec9d2d5ff1a6
ProvisionRegulation (EU) 2024/1689, Article 10(2) and (3)
ELI: http://data.europa.eu/eli/reg/2024/1689/art_10/oj
ApprovalNot approved

rules/rego/complyedge/highrisk/art10_data_governance.rego

Citation
Regulation (EU) 2024/1689, Article 10(2) and (3)
Condition
Training, validation or test data for a high-risk AI system that is knowingly biased, unrepresentative, incomplete or unexamined, or an instruction to train or ship on such data without the data governance Article 10 requires.
Layer 1 detects
"training data" directly followed by "not representative", "biased", "incomplete" or "unvetted"; "no", "without" or "inadequate", then "data governance", then "for" or "on", then "high-risk" or "training data"; and "unrepresentative" or "biased", "training" optional, then "data", "dataset" or "sample", in any word ending ("biased datasets"). It matches wording, not meaning: it misses the practice told in other words ("We know the loan dataset barely includes women applicants, but train the credit model on it anyway"), it does not read whether the system is high-risk, and it fires on text that only names the practice, such as a plan to test for biased data. Whether a text does the practice is judged in Layer 2.
Condition type
deterministic
Status in the file
review