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NYC 지방법 144 및 AI 채용 편견 감사

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마지막 업데이트 2026년 9월 15일

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개요
심층 분석
전략적 영향
The Future of NYC Local Law 144 and AI Hiring Bias Audits
실제 구현
위험 및 가드레일
구현 로드맵
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자주 묻는 질문

개요

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.

심층 분석

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.

기술적 통찰력

The rules define two calculations. For tools that select or classify candidates, the selection rate for each category is the number selected divided by the number in that category, and the impact ratio is a category's selection rate divided by the selection rate of the most selected category. For tools that produce scores, the scoring rate is the share of a category scoring above the median score of the full sample, and the impact ratio is that rate divided by the highest category's scoring rate. Ratios are reported for sex, race/ethnicity using EEO-1 style categories, and intersections of the two. Categories under 2 percent of the data may be excluded, with disclosure. Audits can use the employer's historical data or, if insufficient, pooled data from other employers using the tool, or test data with an explanation. Practitioners often compare ratios with the federal four-fifths rule, but Local Law 144 itself sets no threshold.

전략적 영향

위험과 안전

치명적인 AI 피해와 일상적인 AI 피해는 누가 위험을 이해하고 누가 조치를 취할 수 있는지에 따라 달라집니다.

더 명확한 결정들

공공 및 전문 지식은 강력한 안전 정책이 정치적으로 가능한지 여부를 결정합니다.

과장된 과장을 뚫고 나가기

명확한 설명은 과대광고, 연구실 홍보, 모호한 윤리 연극에 의한 포착을 줄입니다.

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.

실제 구현

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.

위험 및 가드레일

실존적 위험을 공상과학처럼 다루면서 능력을 합성합니다.
높은 자율성 하에서 정렬과 표면 제품 안전성을 혼동합니다.
영어가 아니거나 전문가가 아닌 청중에게는 품질이 낮은 소스만 남겨 둡니다.

구현 로드맵

제품 손상, 오용, 통제력 상실/잘못 정렬 위험을 분리합니다.
일정과 심각도에 대한 귀하의 견해를 바꿀 수 있는 증거가 무엇인지 물어보십시오.
마케팅 주장보다 기본 소스와 구체적인 평가를 선호하세요.
인식뿐만 아니라 경력, 정책, 자금 조달 또는 기술 등 하나의 행동 경로를 식별하십시오.

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자주 묻는 질문

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.

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