Policy

What's a Safe Answer When the EPLI Form Asks About AI in Hiring?

When an EPLI renewal form asks whether AI is used in hiring, the safe answer is yes, sent with a dated inventory. A flat no is usually false: ranking, matching and scoring features already ship inside the applicant tracking system you bought. Answer the definition the form prints. One line per tool: its output, its stage, who reviews it before a rejection, what audit exists. A guess is a representation, and one false on a material point threatens the coverage.

The takeNotice which instrument is actually moving anyone. New York City's rule has been enforceable since 5 July 2023, and the best public count found 18 posted audits across 391 employers. I expect one renewal questionnaire to pull more inventories out of more companies in a single August than that ordinance has managed in three years, because it carries a signature, a date and a rescission clause standing behind it. If that holds, underwriters end up writing the compliance calendar for AI in hiring. That is not the accountability anyone argued for, and it is the one arriving.

Where Olive fits

Open a role and see what the work shows

If Olive sits on that inventory, its line is short: a reviewer writes all six findings by hand, there is no automated scoring and no hiring recommendation, and every released report exports with its rubric, scorer and bank versions attached. Olive's own bias audit has not been performed yet, and that belongs on the inventory too.

Rank your shortlist

Why is 'no' almost always the wrong answer?

Because the question is not whether you bought an AI hiring product. It is whether a model's output touches an employment decision, and for most employers it already does. Resume ranking and match scores inside the applicant tracking system, sourcing recommendations, knockout scoring on screening questions, interview note-takers that produce summaries and suggested ratings: none of those arrived through a procurement decision anyone remembers making.

The person filling in the form usually cannot see all of it. Hiring sits in HR, the applicant tracking system sits in IT, the sourcing seat was bought by a recruiter on a corporate card, and the note-taker switched itself on inside the video conferencing account by default. Last year's honest no was written by someone with the same partial view.

Vendors also renamed the thing. A feature sold as smart matching, fit scoring, candidate insights or automated shortlisting is the same object the questionnaire is describing, and the marketing word is not the answer. Look at the output rather than the label: if it returns a number, a tier, an ordered list or a yes-or-no about a person, it is inside the question even when the contract never says AI. The ATS keyword filter that stopped working once every resume matched is often the same product one module later.

So the sequence is inventory first, answer second. Filling in the form from memory is how a true answer quietly becomes a false one, and the inventory takes an afternoon of asking four people what they bought.

What counts as AI in hiring on this form?

Answer the definition printed on the form. When the form gives none, borrow a written test instead of using your intuition. New York City's rule defines a tool that substantially assists or replaces discretionary decision making three ways: relying solely on a simplified output such as a score, tag, classification or ranking; weighting that output more than any other criterion in the set; or using it to overrule conclusions drawn from other factors, including human decision-making 2.

That is a New York City standard for New York City hiring, enforced by the Department of Consumer and Worker Protection since 5 July 2023 1. It travels anyway, because it is written down, it turns on what you do with the output rather than on what the vendor calls it, and an underwriter reading your answer can follow it.

Run it per tool and per stage. Three buckets usually fall out:

  • Usually inside. Resume ranking or scoring, knockout logic with a scored result, matching that reorders who gets read, an assessment returning a tier, a chatbot that ends the process on certain answers.
  • Usually outside, and worth saying so on the form. Drafting a job post, a transcript with no rating attached, scheduling, a search whose ordering nobody treats as a decision.
  • Argued both ways. Interview summaries a reviewer reads before scoring, and sourcing recommendations that decide who gets contacted at all.

Carriers write their own definitions and they are not always a statute's, so the printed wording governs your answer. When it is genuinely ambiguous, describe the tool rather than classifying it. A description can be incomplete. A checkbox can be false, and false is the word that matters later.

Write the inventory: one line per tool

One row per tool per stage, with the same columns every time. The shape matters because an underwriter, a plaintiff's lawyer and your own general counsel all want the same handful of facts, so writing them once means never assembling them under deadline. Keep it as a document you can date, version and send, not as prose squeezed into the questionnaire's text box.

Tool and vendorStageWhat the output isWho reviews it before a rejectionBias-audit evidence
ATS ranking moduleApplicationOrdered list of applicantsRecruiter reads every application in the requisitionVendor audit, dated, auditor named, own data supplied
Screening knockout logicApplicationPass or fail on stated criteriaAutomatic reject on licence and work authorization onlyRules written by HR, no model involved
Interview note-takerInterviewSummary plus suggested ratingsInterviewer files a scorecard before opening the summaryNone; suggested ratings not used in the decision
Skills assessment vendorAssessmentPer-dimension findingsHiring manager reads the full reportRequested from vendor, outstanding

Two rows commonly get left off, and both belong in. The first is anything a staffing agency, an RPO or an executive search firm runs on your behalf: the form asks about your employment decisions, not about who holds the software licence. The second is the tool one manager brought in alone, which you find by asking people rather than by reading a procurement report.

Then write the two sentences the whole inventory exists for. What the tool produces, and what a human does with it before anyone is rejected. If nobody can name that human, that is the finding, and it is cheaper to find now than in a deposition.

What happens if the answer turns out to be wrong?

Not a fine. What you risk is the argument about coverage, at the moment you need the coverage. California's Insurance Code states the rule plainly: a representation false in a material point, whether affirmative or promissory, entitles the injured party to rescind the contract from the time the representation becomes false 5. Materiality turns on the probable and reasonable influence of the facts on the party the disclosure was owed to, not on the event 6.

Those two sections are California law, enacted in 1935 and still the operative text. Your policy is governed by the law named in it, and your state's analogous provision may set a different bar, so the question to send your broker and your counsel is which provision governs misrepresentation on this application and what it takes to trigger. That is a question for counsel, not an answer a page can give you.

The clause worth reading twice is from the time the representation becomes false 5. A no that was true in January stops being true the afternoon someone switches on a scoring module, and nothing about that afternoon feels like an insurance event to the person doing it. Because materiality is measured by what the underwriter would reasonably have wanted to know, the fact that the new module had nothing to do with the eventual claim does not settle the question 6.

So put the trigger where tools actually get approved. Any new tool, module or stage that returns a score, an order or a filtered list about an applicant goes to whoever signed the last application, before it goes live. That is one line inside what belongs in the AI hiring policy and who signs it, and it is the part of this that has to survive staff turnover.

Which documents sit behind each line?

Five per tool, and you can name them today. The audit, with its date and the auditor's name. Your own selection rates by stage. The notice candidates were given, in the version actually sent. The written human-review step. The retention rule saying how long each of those is kept and by whom.

The second one is the document employers most often do not have, and federal law has asked for it since 1978. The Uniform Guidelines say users should maintain records disclosing the impact their tests and other selection procedures have on employment opportunities by race, sex and ethnic group, and say a selection rate under four-fifths of the highest group's rate will generally be regarded by federal enforcement agencies as evidence of adverse impact 4. The same section adds that federal enforcement agencies may draw an inference of adverse impact from a failure to keep that data where a group is underutilized 4. An empty file is not a neutral file.

Retention has a floor under it. Personnel and employment records must be preserved for one year from the making of the record or the personnel action, whichever is later, and once a discrimination charge is filed the employer must preserve all personnel records relevant to it until final disposition 7. Screening logs and tool outputs are personnel records when they decide who moves forward.

Three requirements are specific and dated under the New York City rule: a bias audit within one year of use, a published summary of results, and notice to candidates at least ten business days before the tool is used 1. There is also a trap inside the vendor's audit. Once you have used the tool, you may rely on an audit built from other employers' historical data only if you supplied your own data to the independent auditor 2. A vendor PDF covering somebody else's applicants is not the document it looks like. Raise that first when a screening vendor says the tool is bias tested, and expect running the adverse impact numbers on your own pipeline to end up as your job rather than theirs.

If those documents are missing, you have company, which is not the same as being covered. In a 2024 study of Local Law 144, 155 student investigators recorded 391 employers: 18 had posted an audit report and 13 had posted a transparency notice 3. The authors call the gap null compliance, since employers hold wide discretion over whether a tool is in scope, so a missing document does not prove a breach. An underwriter reading your answer faces the same ambiguity, which is why the inventory travels better than the yes. Candidates read the notice and the audit summary too, and writing the inventory so it survives being read by the people it describes is the cheapest test of whether the answer on the form is true.

Read the evidence

Common questions

Should you answer yes if the only AI is inside your ATS?

Yes, if its output scores, sorts or filters applicants. The form asks about what touches an employment decision, not about what you bought as an AI product. Name the module, the stage it runs at, and the person who reads the result before anyone is rejected. If the feature is switched off in your instance, say that rather than leaving the line out, and record the date it was disabled so the answer stays checkable a year from now.

Who should sign the AI answers on an EPLI application?

Whoever can see all of it, which is rarely one person. HR knows the stages, IT and procurement know what is licensed and what turned itself on by default, and counsel knows what the wording commits you to. The signature usually belongs to an officer, so the working rule is that the inventory reaches them before the form does. A signature on an answer nobody assembled is the exposure, not the tools themselves.

What if you don't know the full answer before the renewal date?

Say so, with a date and a name attached. A line reading that the inventory is in progress, owned by a named person and due on a stated day describes where you are. A guess is a representation. Ask your broker whether the carrier will accept a supplement after binding, then send it when it is finished. An answer completed two weeks late is worth more than an answer that was wrong on the day it was signed.

Does a vendor's bias audit cover your use of the tool?

Only partly, and in New York City only under a condition: once you have used an automated employment decision tool, you may rely on an audit using other employers' historical data only if you gave your own data to the independent auditor 2. Elsewhere the limit is practical rather than legal, since an audit tests the tool as configured on somebody else's applicants. Your own selection rates by stage are the part only you can produce.

How often does the inventory need updating?

Whenever a tool, a module or a stage changes, rather than once a year. The reason sits in the statute rather than in good practice: a representation can be false from the time it becomes false, so the answer has a shelf life measured in product releases 5. Tie the refresh to the approval step for new tools, keep the dated versions, and bring the current one to the renewal instead of rebuilding it from memory each August.

References

  1. 1. Automated Employment Decision Tools (Local Law 144 of 2021) NYC Department of Consumer and Worker Protection, 2023. nyc.gov Local Law 144 bars use of an AEDT unless it has been subject to a bias audit within one year of use, the audit information is publicly available and notices are given; DCWP enforcement began July 5, 2023, and the page records that notice must be provided 10 business days prior to use.
  2. 2. Notice of Adoption of Final Rule: Automated Employment Decision Tools (6 RCNY 5-300 to 5-304) NYC Department of Consumer and Worker Protection, 2023. rules.cityofnewyork.us Defines 'to substantially assist or replace discretionary decision making' as relying solely on a simplified output (score, tag, classification, ranking), weighting it more than any other criterion, or using it to overrule conclusions from other factors including human decision-making; section 5-302(a) permits reliance on an audit using other employers' historical data only where the employer supplied its own data or has never used the tool.
  3. 3. Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability Wright, Muenster, Vecchione, Qu, Cai, Metcalf and Matias (arXiv:2406.01399, ACM FAccT), 2024. arxiv.org 155 student investigators recorded 391 employers' compliance with Local Law 144; among these employers, 18 posted audit reports and 13 posted transparency notices, a pattern the authors call null compliance because employers hold substantial discretion over scope.
  4. 4. 29 CFR 1607.4 - Information on impact (Uniform Guidelines on Employee Selection Procedures) U.S. Equal Employment Opportunity Commission (eCFR), 1978. ecfr.gov Users should maintain records disclosing the impact of tests and other selection procedures by race, sex or ethnic group; a selection rate under four-fifths of the highest group's rate is generally regarded as evidence of adverse impact; and federal enforcement agencies may draw an inference of adverse impact from a failure to maintain such data where a group is underutilized.
  5. 5. California Insurance Code section 359 (Representation) California Legislative Information, California Insurance Code, 1935. leginfo.legislature.ca.gov Verbatim: 'If a representation is false in a material point, whether affirmative or promissory, the injured party is entitled to rescind the contract from the time the representation becomes false.'
  6. 6. California Insurance Code section 334 (Materiality) California Legislative Information, California Insurance Code, 1935. leginfo.legislature.ca.gov Verbatim: 'Materiality is to be determined not by the event, but solely by the probable and reasonable influence of the facts upon the party to whom the communication is due, in forming his estimate of the disadvantages of the proposed contract, or in making his inquiries.'
  7. 7. 29 CFR 1602.14 - Preservation of records made or kept U.S. Equal Employment Opportunity Commission recordkeeping regulations (eCFR), 2024. ecfr.gov Personnel or employment records must be preserved for one year from the making of the record or the personnel action involved, whichever occurs later; where a charge of discrimination has been filed, the employer must preserve all personnel records relevant to the charge until final disposition.

7 sources, numbered by first appearance. Every one was opened and checked against the claim it carries. How Olive sources claims

General guidance, not legal advice. Hiring rules differ by state and country and change often; check anything here against your own counsel before you act on it.

Olive assesses how a person works with AI. It does not detect AI-written documents, and it never produces a score, a ranking, or a match percentage for a person. Candidates read the same report the employer reads.

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