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If an employer’s AI system may have influenced your application, promotion, discipline, or termination, act quickly and in writing. Record the decision, preserve every related document, ask whether an automated tool contributed and whether a person independently reviewed it, identify factual or accessibility problems, and request correction and reconsideration. Then check the law and filing route for your location—especially if you suspect discrimination or disability-related harm. An internal request is useful evidence, but it does not necessarily create a legal appeal right or pause an external deadline.
First, identify what actually happened
“AI-driven” can describe very different processes. A résumé-ranking tool may recommend candidates while a recruiter decides. A video or speech assessment may generate a score. Scheduling or productivity software may flag conduct for a manager. In another case, a system may make a decision without meaningful human involvement. The legal route depends on that distinction, the type of employment action, your location, and the date.
Map the decision
- Action: hiring rejection, interview exclusion, promotion decision, discipline, suspension, termination, or a platform account restriction.
- Automation level: a tool that assists a person, a recommendation that substantially shapes the result, or a decision based solely on automated processing.
- Decision-maker: employer, staffing intermediary, platform operator, or vendor acting for an employer.
- Potential protected issue: race, sex, age, disability, religion, national origin, another protected characteristic, or failure to accommodate a disability.
Do not assume that an algorithmic score proves the employer violated a law. Your goal is to establish facts, preserve evidence, and use the route that matches the decision.
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Save materials in their original form and keep a dated log. Include the job listing, application confirmation, résumé and portfolio versions, assessment invitations and results, interview messages, performance records, warnings, termination notices, accommodation requests, and every response from the employer or platform. Capture screenshots or PDFs of web pages showing an assessment, notice, or privacy statement, and record the date and time.
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Write down who communicated the decision, the exact wording used, when it took effect, and any reference to screening, scoring, monitoring, automated assessment, or a vendor. Note technical conditions that could affect accuracy: browser or device problems, interrupted tests, language or accessibility barriers, timing rules, microphone or camera failures, or an inability to use assistive technology.
Preserve evidence lawfully. Do not take confidential information belonging to coworkers or copy proprietary systems you are not authorized to access. Keep a separate copy outside an employer-controlled account if you are allowed to do so.
Send a focused written request
Address the request to human resources, the recruiting or employee-relations contact, the manager who issued the decision, or the platform’s documented support channel. Use a method that creates a record. Keep the tone factual and ask for reconsideration without claiming that every requested disclosure is legally guaranteed.
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- Was an automated employment decision tool, algorithmic assessment, monitoring system, or other automated processing used in reaching or recommending this decision?
- What decision was made, on what date, and who made or approved it?
- What information, data sources, criteria, scores, or outputs materially contributed?
- Did a human review the output, investigate its accuracy, and exercise independent judgment? If so, what part of the decision did that person make?
- How can inaccurate, incomplete, outdated, or misattributed information be corrected?
- What reconsideration, appeal, grievance, or accommodation process is available, and where should supporting evidence be sent?
State the concrete problem. For example, identify employment experience omitted from the record, a test result produced after a technical failure, an assessment that conflicted with your documented qualifications, inconsistent treatment compared with similarly situated people, or an assessment format that was inaccessible because of a disability.
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Request an accommodation or alternative assessment when relevant
Explain the functional barrier rather than disclosing more medical information than necessary. Ask for a reasonable accommodation or an alternative way to apply, interview, or demonstrate ability. An employer may need enough information to evaluate the request, but an automated assessment is not a reason to skip the accommodation conversation.
A concise letter structure
Date: {{date}}
I am requesting review of the {{hiring/promotion/discipline/termination}} decision communicated on {{decision date}} for {{role or employment action}}.
Please confirm whether an automated tool or automated processing contributed; what information and criteria were used; whether a person independently reviewed the result; how I can correct inaccurate data; and the available reconsideration or grievance process.
The specific concern is {{factual error, missing evidence, technical problem, accessibility barrier, inconsistent treatment, or other fact}}. I request {{correction, human reconsideration, reasonable accommodation, alternative assessment, or other remedy}}. Attached are {{list of supporting records}}.
Please acknowledge receipt and identify the appropriate contact.Keep the sent message, attachments, delivery confirmation, and reply together. If you receive a phone response, send a short follow-up email recording what was said and invite correction of any misunderstanding.
Choose the route that fits your situation
Use this decision framework before waiting for an internal response. The same facts can support more than one route, but a compliance question about automated tools is different from a discrimination or accommodation claim.
| Question | Why it matters | Possible next step |
|---|---|---|
| Where did the decision occur? | Employment and privacy rules are location-specific. | Identify the city, state, country, and—for remote work—the places tied to the employer and work. |
| What action was taken? | Some rules cover hiring or promotion but not every firing decision. | Match the action to the applicable statute or agency. |
| Did software assist or decide? | Rules can distinguish recommendation systems from solely automated decisions. | Ask for the degree of human involvement and record the answer. |
| Is discrimination or disability accommodation involved? | Human-rights and employment-discrimination routes may apply independently of AI-specific rules. | Contact the appropriate local or national agency promptly. |
| Is there an internal process? | It may produce a correction or preserve a record, but may not stop an external clock. | Use it while independently checking filing deadlines. |
| Is the worker on a digital labor platform? | Special platform-work protections may govern account restrictions or termination. | Check the member state’s implementation of the relevant EU directive. |
New York City: Local Law 144
New York City Local Law 144 covers a defined category of automated employment decision tools (AEDTs) used to screen candidates or employees for employment decisions, including promotion. The NYC code describes a covered AEDT as a computational process derived from machine learning, statistical modeling, data analytics, or artificial intelligence that produces a simplified output—such as a score, classification, or recommendation—and substantially assists or replaces discretionary decision-making. Tools that do not materially affect people, or that do not automate or support an employment decision, are outside that definition.
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What covered use requires
Before a covered tool is used, the employer or employment agency must have a bias audit conducted no more than one year earlier and make the latest audit summary and the tool’s distribution date publicly available. Notice must be given to candidates or employees, including notice that an AEDT is being used and information about the job qualifications and characteristics the tool assesses.
These requirements concern screening for hiring and promotion. Do not treat Local Law 144 as a comprehensive law governing every disciplinary or firing decision, and do not assume it gives every applicant a universal right to an appeal or to receive the algorithm itself. The code preserves a candidate’s or employee’s ability to bring a civil action and the New York City Commission on Human Rights’ enforcement authority.
What to do if notice or an audit is missing
- Save the vacancy listing, assessment instructions, notices, and any public audit page as they appeared when you applied.
- Ask the employer whether a covered AEDT was used, what notice applied, and where the latest audit summary is posted.
- Contact New York City’s Department of Consumer and Worker Protection (DCWP) about suspected Local Law 144 non-compliance.
- If the concern involves discrimination or a disability accommodation, also consider the New York City Commission on Human Rights.
A December 2, 2025 New York State Comptroller audit examined DCWP’s enforcement work. Its audit scope covered July 2023 through June 2025 and reviewed 32 company websites—22 employers and 10 AEDT vendors. The audit identified potential compliance leads and shortcomings in identifying non-compliance and handling complaints; those leads were not proof that a particular employer violated the law. It also noted that a complaint is not required before DCWP can take enforcement action. A missing public audit posting is a reason to investigate, not by itself proof of a violation.
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The NYC Commission on Human Rights states that entities remain responsible for decisions made using AI and other technology. Its disability guidance explains that technology can violate the NYC Human Rights Law when an employer does not allow a person to request a reasonable accommodation to use an application or fails to offer an alternative way to apply.
Raise this issue when an assessment’s format, timing, speech or video analysis, interface, or required device interacts with a disability. Describe what barrier occurred, the accommodation or alternative you requested, when you requested it, and how the process affected the result. Keep the AI-tool compliance question separate from the discrimination or accommodation facts so an agency can evaluate each issue.
European Union: GDPR Article 22
GDPR Article 22 addresses a decision based solely on automated processing, including profiling, that produces legal effects or similarly significantly affects a person. It establishes a right not to be subject to such a decision, subject to exceptions. The rule can apply when automated processing is necessary to enter into or perform a contract, authorized by EU or member-state law with safeguards, or based on explicit consent.
For the contract and consent exceptions, safeguards include human intervention, the ability to express your point of view, and the ability to contest the decision. Article 22 is not an unconditional human-review right for every AI-assisted workplace action. You must examine whether the decision was truly solely automated, whether its effect was legally or similarly significant, and which exception applies.
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How to raise an Article 22 request
- Ask the controller—usually the employer or platform—to identify whether the decision was solely automated and whether profiling was involved.
- Ask what safeguards and contest procedure apply, and state your point of view with supporting facts.
- Request human intervention and correction of inaccurate personal data where appropriate.
- Keep the request and response, then check the data-protection authority and employment-law route in your member state.
Do not assume that a recruiter’s brief click-through automatically defeats Article 22 or that any use of machine learning automatically triggers it. The factual degree of human involvement is central.
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EU platform workers
Directive (EU) 2024/2831 adds protections concerning automated monitoring and decision systems used in platform work. It includes human oversight and provides that certain decisions restricting, suspending, or terminating a platform worker’s account or contractual relationship must be taken by a human. The directive requires national implementation, so the applicable rights and procedure depend on the member state.
If your platform account or contract was restricted or ended, preserve the notification, account history, review requests, and any automated flags. Check the implementing law and designated authority in the country whose rules apply. Do not rely on the directive’s general wording without verifying the national procedure and effective date.
Deadlines and escalation
There is no single deadline for challenging an AI-related workplace decision. Time limits vary by jurisdiction, claim, decision type, and whether the route is an agency charge, court action, data-protection complaint, or contractual grievance. An internal appeal may not pause an external filing period.
- Identify every plausible external route immediately.
- Ask the relevant agency or a qualified employment lawyer for the deadline that applies to your facts.
- File or preserve rights before the deadline even if the employer has not answered your internal request, unless the agency confirms otherwise.
- Calendar follow-up dates and keep proof of submission.
Because the correct agency depends on location and circumstances, verify whether the issue belongs with a city human-rights office, state or national employment agency, data-protection authority, labor regulator, or court. The absence of a named federal process here should not be read as evidence that no remedy exists.
Common mistakes that weaken a challenge
- Waiting for proof of “AI.” Ask precise questions now; employers may describe the system as an assessment, analytics, monitoring, or vendor service.
- Demanding the source code first. Start with the decision, data, criteria, human review, correction method, and reconsideration route. Disclosure rights differ.
- Relying on a generic accusation. Connect the suspected error or adverse effect to dates, records, and the decision.
- Ignoring accessibility. A speech, video, timed, or interface problem can be central to a disability-accommodation request.
- Assuming a missing NYC audit proves illegality. Preserve the absence and report it for investigation, but do not overstate what it establishes.
- Waiting for an internal answer before checking deadlines. Obtain an independent deadline calculation immediately.
- Sending sensitive data casually. Use the employer’s official channel and disclose only what the reviewing body needs.
What a strong record looks like
A useful file has a one-page chronology, the original decision notice, the exact tool or assessment references, your written questions, evidence of delivery, the employer’s replies, and a separate list of disputed facts. Label each item with its date and source. If the employer corrects a record or offers a new assessment, save both the original and revised versions.
Keep the issues distinct: inaccurate data, lack of meaningful human review, inaccessible assessment, discriminatory treatment, missing NYC notice or audit information, and an EU solely automated decision may require different legal tests. A clear record lets an agency, lawyer, or reviewer decide which test applies instead of forcing them to reconstruct the facts.
When professional help is sensible
Consider prompt advice from an employment, human-rights, disability-rights, labor, or data-protection specialist when the decision ended your job, affects immigration or professional licensing, involves retaliation, concerns a large amount of lost income, or has a short filing period. Bring your chronology and preserved records. Ask specifically about the applicable jurisdiction, deadline, burden of proof, evidence requests, accommodation rights, and whether an internal process changes anything externally.
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