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An applicant tracking system (ATS) is software for receiving, organizing, and managing job applications; résumé screening is the task of evaluating candidates against criteria. Screening may be done by a person, a standalone tool, or a feature inside an ATS. So the terms are not opposites: an ATS can combine conventional recruiting workflow tools with automated screening, and the label “ATS” alone does not tell you whether AI is involved.
ATS and résumé screening describe different things
An ATS is the system category. It can collect applications, store candidate information, and support hiring administration. Screening is a function: filtering, scoring, classifying, recommending, or ranking candidates based on information about them.
That distinction matters because an employer may use an ATS only to manage applications, use screening software separately, or enable screening features within its ATS. Capabilities also depend on the vendor, configuration, and employer policy; a feature found in one product cannot be assumed to exist in every ATS.
What “AI résumé screening” can mean
“AI screening” is not one standardized operation. Automated screening may use knockout questions, keyword or qualification filters, or produce a score, tag, category, recommendation, or ranking. EEOC testimony submitted in 2023 described ATS tools that can filter or rank applicants using such criteria, while also discussing how rigid criteria or subjective assessments may create barriers, including for people with disabilities. That testimony describes practices and risks; it does not establish that every ATS screens every application automatically.
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To understand a particular system, ask what information and criteria drive its output and what the employer does with that output. A rule-based filter is not necessarily machine learning, and the word “AI” by itself does not explain how a decision is reached.
Parsing a résumé is not the same as screening it
A system may extract text from a résumé or convert a PDF into structured fields so an employer can search or organize application data. That processing alone does not show that the system evaluates the candidate. New York City Rules § 5-300 distinguishes translation or transcription of existing text from simplified outputs such as a score, tag or categorization, recommendation, or ranking. Those examples help explain the distinction, but whether a specific tool is legally covered depends on the full applicable definition and how it is used.
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What to find out as an applicant
An application portal or ATS brand does not reveal whether a person or an automated system reviews your résumé. Instead of trying to guess a universal “ATS score”—the evidence does not establish one universal ranking method—ask the employer:
- Is an automated assessment used to screen applicants for this role?
- What qualifications or characteristics does it assess, and what information does it use?
- Does a person review the application, and can that person override the system’s output?
- How can you request an accommodation or an alternative application process?
If a disability-related criterion screens out or tends to screen out an individual because of disability, the EEOC’s ADA technical assistance manual says the criterion must be job-related and consistent with business necessity. Reasonable accommodation may also need consideration. This principle applies to the selection criteria and process; it is not a blanket claim that all AI or ATS software is unlawful or inaccessible.
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Employers evaluating a tool should establish what the deployed feature actually does and how its output affects decisions. Useful questions include:
- Which feature is enabled, and which application fields or other data sources does it use?
- Does it extract or organize information, or does it score, classify, rank, recommend, or automatically reject candidates?
- How much weight does the output carry, and can a human review the underlying application and correct or override the result?
- What audit or validation evidence applies to the version and configuration in use?
- What candidate notices, accommodation routes, data-retention rules, and jurisdiction-specific obligations apply?
Documenting the criteria, data sources, decision role, review process, and correction route makes it easier to assess whether the tool is being used as intended and to respond when a candidate raises a concern.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.New York City’s AEDT requirements are one local example
New York City Administrative Code § 20-871 makes it unlawful for an employer or employment agency in the city to use a covered automated employment decision tool (AEDT) to screen a candidate or employee for an employment decision unless specified conditions are met. The requirements include an independent bias audit conducted no more than one year before use and public access, before use, to a summary of the most recent audit and the tool’s distribution date. Covered employers or agencies must also give candidates who reside in the city notice at least ten business days before use, including notice that the tool will be used and the job qualifications and characteristics it assesses, and provide a way to request an accommodation or alternative process. Certain information about data sources and retention must be available on written request if it is not otherwise disclosed.
New York City Rules § 5-301 gives résumé screening and interview scheduling as an example and says an audit is required even when a tool screens at an early stage but does not make the final decision. The rules describe audit calculations by sex, race or ethnicity, and intersectional categories. An audit is not proof that a system is unbiased, and these city requirements should not be treated as the rules everywhere. Employers should check the current official law and rules for their circumstances.
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Quick Recap
How to tell which kind of system you are dealing with
| Question | Application management only | Screening function |
|---|---|---|
| What does it do? | Receives, organizes, or tracks applications. | Evaluates candidate information against criteria. |
| What might the output be? | Stored or organized application information. | A filter decision, score, classification, recommendation, ranking, or rejection. |
| Does it necessarily use AI? | No. The ATS label does not establish that AI is used. | No. Screening may use rules or other methods; ask how the feature works. |
| What should you verify? | Which workflow features are enabled and how applications are handled. | Inputs, criteria, human review, override, notices, accommodations, and applicable rules. |
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