Title VII: disparate impact and the UGESP four-fifths rule
A selection procedure with disparate impact is unlawful unless job-related and consistent with business necessity, and a less discriminatory alternative can still be required; a selection rate under four-fifths of the highest group's rate is generally regarded as evidence of adverse impact
AIGE-OBL-USFED-TITLE7-703K. Drawn from chapter 08.
Text alternative
- Clause: Title VII / UGESP, Title VII s. 703.
- Duty holder: Employers.
- Applies from: 1978-08-25, In force.
- Artefact: Adverse-impact-ratio eval per group….
- Layers: Layer 03, Layer 05.
- Evidence record: Evidence record v1.
- Record schema: Evidence record.
- No crosswalk topic files this clause yet.
- Id
AIGE-OBL-USFED-TITLE7-703K- Instrument
- Title VII and the Uniform Guidelines on Employee Selection Procedures law
- Clause
- Title VII s. 703(k); 29 CFR 1607.4(D)
- In scope
- Employers
- Authority
- EEOC; courts
- Applies from
- In force · UGESP adopted 1978-08-25 (43 FR 38295); s. 703(k) since 1991-11-21
The artefact that evidences it
Adverse-impact-ratio eval per group with counts and confidence intervals; job-relatedness validation; alternatives search log.
Patterns that build it
- Fairness Eval Suite (layer 3)
Source
Chapter 08, section Federal law that already reaches AI, checked against its sources on the review date above.
Machine-readable
- This obligation:
/api/v1/obligations/aige-obl-usfed-title7-703k.json - The register:
/api/v1/obligations.json· CSV - Schema and stability promise: open data and API
Cite this obligation
García Aibar, J. (2026). Title VII: disparate impact and the UGESP four-fifths rule (AIGE-OBL-USFED-TITLE7-703K). In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0). https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/obligations/aige-obl-usfed-title7-703k. CC BY 4.0
BibTeX
@misc{aige2026obligation,
author = {Jorge García Aibar},
title = {{Title VII: disparate impact and the UGESP four-fifths rule (AIGE-OBL-USFED-TITLE7-703K)}},
howpublished = {In AI Governance Engineering: The Thesis \& Body of Knowledge},
year = {2026},
version = {0.5.0},
doi = {10.5281/zenodo.22956197},
url = {https://aigovernanceengineer.com/obligations/aige-obl-usfed-title7-703k},
note = {Version 0.5.0}
}