Up tókànItọsọna atẹle
Bii o ṣe le Fi Awọn ọgbọn AI sori Ibẹrẹ rẹ
Awọn ohun elo
Awọn ohun elo Itọsọna
Employers may use software to organize, parse, or evaluate applications.
Gbọ si itọsọna yiiAI-ṣe afihan · ~2 min
Automated screening can affect access to interviews, so employers should examine how tools are used, whether selection has adverse impact, and which notices or accommodations apply.
Applicant tracking systems manage applications; some products include automated features, but not every ATS ranks candidates. Under Title VII, selection procedures can raise discrimination concerns when they have adverse impact. EEOC guidance addresses assessing impact in software and AI and explains job-related validation and business necessity. The four-fifths rule is a rule of thumb, not a guarantee of compliance. NYC Local Law 144 applies to covered automated employment decision tools and requires an audit within one year, public audit information, and notices; DCWP states notice timing. Disability law may also require reasonable accommodation in AI-assisted hiring. NYC Local Law 144 requires covered employers to conduct an annual independent bias audit, publish a summary, and give candidates at least 10 business days’ notice before using an AEDT; the notice must include job qualifications and characteristics used. The four-fifths rule compares a group’s selection rate with the highest group rate and is a rule of thumb, not a safe harbor. EEOC testimony also states employers using vendor screens remain responsible for understanding the product and determining whether it causes adverse impact.
An ATS stores applications and may include parsing features; behavior depends on product and configuration.
An employer examines selection rates and potential adverse impact for an automated screen.
A New York City employer checks whether Local Law 144 covers its tool and follows audit and notice rules.
An applicant who needs an accommodation asks the employer about an alternative process.
Requirements vary by jurisdiction and can change. Check current rules, document tool use, provide required notices, and evaluate outcomes rather than assuming one audit makes a system fair or lawful.
Ìwé ìròyìn ọfẹ
Ìtàn AI mẹta tó jẹ́rìí ní gbogbo owurọ́ ọjọ́ iṣẹ́, kọ́wé ní Gẹ̀ẹ́sì tó rọrùn. Ọfẹ́ fún gbogbo àkókò, kò sí ìpolówó.
Ìmeèlì kan ní gbogbo ọjọ́ iṣẹ́. Yọkúrò ní ìkànìyàn ní ìkànìyàn kan. A kò ta tàbí pín àdírẹ́sì rẹ.
Ṣe idanwo fun ara rẹ
Ìdáhùn lẹ́sẹ̀kẹsẹ̀ lórí gbogbo ìdáhùn, àti iwe-ẹ̀rí tó lè pin pẹ̀lú ID tó lè jẹ́rìí lẹ́yìn tí o bá kọ́ ẹ̀kọ́.
Ṣe àtìlẹ́yìn ẹ̀kọ́ AI ọfẹ́. AI Understanding jẹ́ àjọ àìní èrè 501(c)(3) — kò sí ìpolówó, kò sí àkúnya owó, ní gbogbo àkókò. Ṣe ẹbun kan
Employers may use software to organize, parse, or evaluate applications. Automated screening can affect access to interviews, so employers should examine how tools are used, whether selection has adverse impact, and which notices or accommodations apply.
Ṣiṣayẹwo bẹrẹ ni igbagbogbo ni itumọ sinu awọn eto ipasẹ olubẹwẹ, awọn iru ẹrọ ti awọn agbanisiṣẹ lo lati gba ati ṣakoso awọn ohun elo iṣẹ.
EEOC guidance addresses job-related validation and business necessity where selection procedures have adverse impact.
DCWP lists audit, public-information, and notice requirements for covered tools.
Awọn aaye miiran le ṣe atunṣe pẹlu awọn abuda to ni aabo, nitorinaa awoṣe tun le ṣe awọn abajade aibikita paapaa pẹlu awọn orukọ ti o farapamọ.
EEOC calls this a rule of thumb for substantially different selection rates, not a safe harbor.
Tesiwaju kikọ
Awọn itọsọna diẹ sii ti a yan fun koko yii
Up tókànItọsọna atẹle
Bii o ṣe le Fi Awọn ọgbọn AI sori Ibẹrẹ rẹ
Awọn ohun elo