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World desk6 min

How to Evaluate AI Interview Tools for Technical Hiring

Evaluate AI interview tools against the technical role and hiring decision they are meant to support. Check validation evidence, accessibility, workflow influence, outcomes, and applicable local requirements.
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Evaluate an AI interview tool as part of your hiring selection process—not as a generic AI feature. Start with the technical competencies required for the specific role, then ask whether the tool measures them appropriately, whether its scores affect who advances, whether candidates can access it or request an alternative, and what rules apply where the job is based. Vendor materials can help, but the employer remains responsible for using an appropriate selection procedure.

Start with the role, not the tool

Before comparing products, write down the technical competencies the role actually requires and why they matter. Examples might include debugging, system design, or explaining a technical decision—but include a competency only if it is relevant to the position and hiring stage. The U.S. Equal Employment Opportunity Commission (EEOC) says selection procedures should be validated for the positions and purposes for which they are used. Its Employment Tests and Selection Procedures guidance is dated 2007.

  • Define the use: Identify the role or job family, hiring stage, applicant population, and decision the assessment is meant to inform.
  • Connect the assessment to the work: State what job-related evidence a candidate’s answer or task is intended to provide.
  • Separate skill evidence from proxies: Ask whether accent, facial expression, speaking style, response speed, or another measured signal is being treated as evidence of technical ability. Do not assume a signal is job-related simply because a system can measure it.
  • Set the tool’s role in the decision: Record whether it transcribes, scores, categorizes, recommends, or ranks candidates, and whether its output is advisory or materially shapes screening.

This definition is the basis for judging a vendor’s evidence and for comparing products fairly: a tool may be suitable for one role, purpose, or stage and not another.

What evidence should the vendor provide?

Ask for materials that let your team assess the specific assessment and its limits—not just a statement that the product is “validated.” EEOC guidance says vendor documentation may be helpful, while the employer remains responsible for ensuring that tests are valid under the Uniform Guidelines on Employee Selection Procedures (UGESP). Review the guidance and its discussion of employer responsibilities at EEOC Employment Tests and Selection Procedures.

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  • What is being measured? Ask the vendor to identify the assessment construct and explain how the questions, tasks, or signals are intended to represent it.
  • How was it studied? Request the study design, sample, job families represented, intended population, validation results, scoring method, and the basis for any cutoff.
  • Does the evidence fit your use? Check whether it applies to the role, hiring stage, candidate population, and decision you have defined. Evidence for a broad job family or a different use does not by itself establish fit for your deployment.
  • What are the limits? Ask about known limitations, conditions that may affect results, and how the vendor expects scores to be interpreted.
  • What changes over time? Ask how updates to the model, questions, scoring, or configuration are handled and how you will know which version was evaluated.

Your team must decide whether the evidence and proposed cutoffs are appropriate for operational use. A vendor’s validation materials are evidence to evaluate, not a transfer of the employer’s responsibility.

How should you assess accessibility and fairness?

Evaluate the candidate experience directly, including whether the assessment depends on speech, facial analysis, or a particular interaction format. The U.S. Department of Justice’s Algorithms, Artificial Intelligence, and Disability Discrimination in Hiring guidance (2022) identifies facial and voice analysis as examples of technologies that could screen out qualified people with autism or speech impairments. The EEOC and DOJ also warned about disability discrimination risks in hiring technology in a May 12, 2022 announcement.

  • Find out what the system observes and which features it extracts or scores. Ask specifically about speech, facial analysis, timing, and interaction requirements where relevant.
  • Have a clear way for candidates to request an accommodation, and establish who receives and handles those requests.
  • Identify a meaningful alternative assessment for candidates who cannot use the tool or for whom its format creates a barrier. Check that the alternative evaluates the relevant competency rather than penalizing the candidate for using it.
  • Review outcomes for unintended exclusion. EEOC guidance recommends considering less discriminatory alternatives when a selection procedure screens out a protected group.

A general bias audit does not, by itself, establish that an assessment is accessible to people with disabilities or valid for a particular technical role. Treat accessibility, job-related validity, and outcome review as distinct checks.

How does the score enter the hiring decision?

Map the workflow from assessment to decision. In New York City’s AEDT rules, simplified outputs can include a score, tag, recommendation, or ranking; the rules explain operational definitions for covered tools. See Subchapter T: Automated Employment Decision Tools.

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  • Record what each recruiter or hiring manager sees and when they see it.
  • Determine whether reviewers can override an output and what evidence or reasons they should record when they do.
  • Specify how the organization reviews adverse outcomes and investigates concerns about the assessment or its use.
  • Retain the deployed tool version, rubric, configuration, and decision records so the organization can understand which procedure was used and examine outcomes.

These records make it possible to understand how the procedure was administered and how much influence its output had. They also support investigation when results raise questions about the tool or a hiring decision.

How can you compare two or more tools?

Compare each product against the same role definition and intended use. Score the evidence your team has—not the strength of a vendor’s marketing language. If information is missing, mark it as unknown and make it a procurement question rather than assuming the tool meets the criterion.

Comparison area Questions to answer for each tool
Job-related validity Does the evidence match the technical role, competency, hiring stage, intended use, and interpretation of scores?
Transparency and control Can your team identify what is measured, how it is scored, what the output means, and how reviewers may use or override it?
Accessibility Can candidates request accommodations? Is a meaningful alternative available? Could speech, facial, or interaction analysis create barriers?
Outcome monitoring Can your team review selection outcomes and investigate whether the procedure excludes groups or produces unintended results?
Operational and legal fit Can you preserve decision and version records, integrate the tool responsibly into the workflow, and meet the requirements that apply in each hiring location?
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What must NYC employers check?

For a hiring process tied to New York City, assess the exact tool and how it is used against the city’s AEDT definition; do not assume that every AI feature is covered or that a product’s label settles the question. The New York City Administrative Code, § 20-871 bars covered AEDT use unless a bias audit was conducted no more than one year before use and a summary of the most recent audit is publicly available before use. NYC rules describe covered-use details and output examples in Subchapter T. The city’s AEDT guidance summarizes audit, publication, and candidate-notice expectations.

Confirm the current requirements for the actual deployment, including whether the tool is covered and what notices apply. These NYC sources do not provide a comprehensive account of laws in other cities, states, or countries; check current official requirements for every location in which the hiring process operates.

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When is a tool ready for a hiring decision?

Proceed only when your organization can explain why the assessment is suitable for the role and use, how its output affects decisions, and how candidates can access the process or request an alternative. Before deployment, confirm that the evidence, workflow, outcome review, records, and location-specific obligations have been addressed. If a material question remains unanswered—such as whether the score reflects the intended technical competency—pause the deployment or limit use until your team can justify it.

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