Audit: Job Ad Delivery Targeting Bias

[yakew7]

Domain

Skewed delivery of employment and housing ads by ad-targeting algorithms (the Ali et al. / Facebook ad-delivery findings).

Dataset

Public ad-delivery experiment data or reconstructed audience-skew figures from published studies (link a public source in the issue).

Protected attribute(s)

Gender, Race.

Suspected proxy variables

Ad creative content, interest categories, lookalike-audience seeds.

Real-world context

Even when advertisers target neutrally, delivery optimization can route job ads disproportionately to one gender or race, which is unlawful for employment/housing ads. Standard audit pipeline applies.

Hyphens only - no em dashes.

[yakew7]

Thanks for proposing this audit! 🙏

Fair Code is currently under a paper freeze: the benchmark results are cited in a research paper in peer review, and the paper covers exactly seven domains, so new audits cannot be merged into main until it is published (details in CLAUDE.md).

This is a timing hold, not a rejection. Closing for now and tagging post-paper so it is easy to find and reopen once the freeze lifts — track status in ROADMAP.md → Phase 6. In the meantime, explainer and tooling contributions are very welcome.