社團指南
NYC Local Law 144 and AI Hiring Bias Audits
NYC Local Law 144 requires employers and employment agencies that use automated employment decision tools (AEDTs) for hiring or promotion in New York City to get an independent bias audit each year, publish a summary of the results, and notify candidates before the tool is used.
本頁4 分鐘閱讀
概述
It was one of the first laws anywhere to require bias audits of hiring algorithms, and its early record shows both what such audits can reveal and how hard they are to enforce.
深入探討
The New York City Council passed Local Law 144 in 2021. It took effect on January 1, 2023, and the Department of Consumer and Worker Protection (DCWP) began enforcing it on July 5, 2023. An AEDT is a computational process derived from machine learning, statistical modeling, data analytics or AI that issues a simplified output, such as a score, classification or recommendation, used to substantially assist or replace discretionary decision-making for employment decisions. The final rules read substantially assist narrowly: for example, relying solely on the output, weighting it more than other criteria, or using it to overrule human judgment. Critics argue this lets many employers decide their tools are out of scope. Before using an AEDT, an employer must have a bias audit conducted by an independent auditor within the past year and post a summary online, including the date of the audit, the distribution date of the tool, and selection or scoring rates and impact ratios by sex, race/ethnicity and intersectional categories. Candidates and employees who are NYC residents must receive notice at least 10 business days before use, including the job qualifications and characteristics the tool assesses, and instructions for requesting an alternative process or accommodation. The law does not require the employer to provide that alternative, and it does not set a passing score: an audit showing disparities does not by itself make use unlawful, though federal and state anti-discrimination laws still apply. Penalties are $500 for a first violation and up to $1,500 for subsequent ones. Enforcement has looked weak so far. A 2024 academic study found that only a small fraction of hundreds of employers checked had posted audits, and a New York State Comptroller audit released in late 2025 criticized DCWP's complaint-driven enforcement. A common misconception is that the law bans biased tools; it mainly mandates transparency.
戰略影響
風險與安全
災難性和日常的人工智慧危害都取決於誰了解風險以及誰能夠採取行動。
更明確的決策
民眾和專業素養決定強而有力的安全政策在政治上是否可行。
突破炒作
清晰的解釋可以減少炒作、實驗室公關和模糊道德劇場的影響。
The Future of NYC Local Law 144 and AI Hiring Bias Audits
Local Law 144 has become a reference point for other proposals, including state bills and the Colorado AI Act, which place hiring among high-risk uses. Its early record has pushed policymakers to consider broader definitions of covered tools, clearer enforcement, and duties that go beyond disclosure. City officials and council members have discussed amendments in response to criticism, though the outcome is uncertain. For employers, the lasting lesson is that impact ratio testing, independent audits and candidate notice are becoming standard practice for AI in hiring regardless of where rules finally settle.
現實世界的實施
A retailer hiring in Manhattan uses software that ranks applicants by resume match, so it hires an independent auditor, calculates impact ratios by sex and race/ethnicity, and posts the summary on its careers page.
A staffing agency using an AI video-interview scoring tool for NYC roles sends candidates notice at least 10 business days in advance, explaining the tool will be used and how to request an alternative process or accommodation.
A company uses a tool only to schedule interviews and does not use it to score or rank candidates, so it concludes the tool likely does not substantially assist a hiring decision under the rules.
An auditor finds that fewer than 2 percent of the audit data comes from one race category, and the published summary notes that category was excluded from the impact ratio calculation as the rules allow.
風險與防護欄
將存在風險視為科幻小說，同時能力複合。
混淆了表面產品安全與高度自治下的對準。
只給非英語和非專業觀眾留下低品質的資源。
實施路線圖
單獨的產品危害、誤用和失控/失調風險。
詢問哪些證據會改變您對時間表和嚴重性的看法。
比起行銷主張，更喜歡主要來源和具體評估。
確定一條行動路徑：職業、政策、資金或技能——而不僅僅是意識。
不斷探索
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the NYC Local Law 144 and AI Hiring Bias Audits quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
常見問題
What is NYC Local Law 144 and AI Hiring Bias Audits?
NYC Local Law 144 requires employers and employment agencies that use automated employment decision tools (AEDTs) for hiring or promotion in New York City to get an independent bias audit each year, publish a summary of the results, and notify candidates before the tool is used. It was one of the first laws anywhere to require bias audits of hiring algorithms, and its early record shows both what such audits can reveal and how hard they are to enforce.
Which agency enforces NYC Local Law 144?
DCWP adopted the rules and began enforcement on July 5, 2023.
How is an impact ratio calculated for a selection tool?
Each category's selection rate is compared with the highest category's selection rate.
How many business days before using an AEDT must candidates be notified?
The law requires notice at least 10 business days before use.
What does Local Law 144 require if an audit shows large disparities?
The law mandates transparency rather than a pass/fail standard, though other anti-discrimination laws still apply.
For tools that output scores, what is the scoring rate?
Scoring rates use the sample median as the cutoff, then are compared across categories.
繼續學習
相關指南
為此主題精選的更多指南