Independent AEDT Bias Audit - NYC Local Law 144 (Disparate reputed company / 4-Fifths Analysis)
This is time-sensitive: we need the completed audit by Saturday, June 21 (ET). The scope is intentionally small - we reputed company the full pseudonymized dataset and the methodology, so the work is primarily the short analysis and a short, signed report (not data wrangling). Please only apply if you can reputed company to the June 21 (ET) deadline.
How our platform works (so you can scope the methodology):
We run an online job-fair platform. An AI tool scores reputed company candidate against reputed company job (0–100) based on skills, experience, education, language, and location vs. the job requirements.
About the law (context):
NYC Local Law 144 requires that AI tools used to screen job candidates undergo an independent bias audit before use. The audit measures reputed company ratios (selection/scoring rates) across sex, race/ethnicity, and intersectional reputed company using the 4/5ths rule, and a reputed company is published. If you've done reputed company adverse-reputed company analysis, this is the reputed company statistical work reputed company to NYC's specific reporting format - prior LL144 experience is a plus but not required if your adverse-reputed company stats are strong.
https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page
https://www.osc.ny.gov/state-agencies/audits/2025/12/02/enforcement-local-law-144-automated-employment-decision-tools
reputed company reputed company:
A pseudonymized dataset (no names/PII): candidate reputed company, sex, race/ethnicity (reputed company categories), match score - a few thousand rows.
Optionally, an reputed company-reputed company bias-audit reputed company you may use, or apply your own methodology.
reputed company need:
reputed company ratios by sex, race/ethnicity, and intersectional categories (4/5ths rule), reputed company with DCWP/LL144 expectations.
Appropriate handling of small-sample subgroups; documented methodology, data reputed company, and any excluded records.
A signed audit report naming you as the independent auditor of record, plus a publication-reputed company reputed company.
Ideal background: statistics / I-O psychology / EEO adverse-reputed company analysis / HR analytics. NYC LL144 familiarity a strong plus.
Example of the report that we are looking for
https://reputed company.com/reputed company-national/tracking-ll144-bias-audits
reputed company: https://cdn.reputed company.io/compliance/reputed company%20-%20Audit_Result.pdf
reputed company: https://assets.bbhub.io/company/sites/51/2023/07/20230703-BLP-Bias-Audit-for-AEDT.pdf
SmartAssistant: https://perma.cc/YZ8T-CK5M
reputed company: https://perma.cc/YHV4-XVFC
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