A hiring decision based on one signal alone (such as a credential, a familiar job title, or a subjective sense of “fit”) may miss information relevant to the role. A more deliberate process begins with the work to be done, identifies job-related criteria, and gives candidates a consistent opportunity to demonstrate relevant capabilities.
AI tools may assist with administrative parts of recruiting, but their outputs do not establish a person's values, potential, or suitability. Human reviewers should check the evidence, consider context, and make decisions under the organization's applicable policies and legal obligations.
Start With the Role and Its Context
Before recruiting, clarify the responsibilities and conditions that matter to successful performance. Depending on the role, the team may consider:
- The organization's mission and the role's purpose
- Regular responsibilities and expected deliverables
- Essential skills and knowledge
- Important working relationships
- Tools, schedules, travel, or other genuine job requirements
- Applicable privacy, security, or regulatory constraints
Distinguish essential requirements from preferences. Avoid substituting a vague idea of “culture fit” for specific, job-related criteria.
Define Criteria Before Reviewing Candidates
Turn the role requirements into a clear assessment plan. Identify which criteria are necessary, what evidence could demonstrate each one, and how reviewers will evaluate that evidence. Use consistent questions and rating guidance where appropriate. The U.S. Office of Personnel Management describes structured interviews as assessing job-related competencies through systematic questions and consistent evaluation; see OPM's structured interview guidance.
Hypothetical example: translating a role into assessment criteria
Suppose an organization is hiring for a community program coordination role. The team might identify partner communication, project coordination, and clear reporting as relevant capabilities, then select interview questions or a work sample that relate to those responsibilities. Reviewers would agree in advance on what evidence they are looking for, evaluate candidates using the same criteria, and allow for accessibility needs. This is an illustration of a process, not a client example, a recommended universal rubric, or a report of results.
Use AI Carefully, If at All
An organization might consider AI for limited support such as drafting a job-related interview question or organizing application materials, subject to tool approval and data-handling rules. Review any generated material for accuracy, relevance, and accessibility. Do not assume an AI system can reliably infer traits such as motivation, values, or interpersonal ability from a résumé or interview transcript.
The EEOC's overview of AI in employment notes that federal employment discrimination laws apply to AI and other technologies used in employment decisions. Organizations should evaluate applicable obligations before using automated tools in recruiting or selection.
For broader AI risk practices, NIST's AI Risk Management Framework is a voluntary resource for incorporating trustworthiness considerations into AI design, development, use, and evaluation. It is not a substitute for legal advice or an organization's policies.
Keep Decisions Explainable
- Keep selection criteria tied to the role.
- Give candidates consistent opportunities to provide relevant evidence.
- Have qualified people review AI-assisted summaries or recommendations against source material.
- Document the basis for decisions in accordance with organizational policy.
- Make a clear path available for questions and accommodation requests.
A Practical Implementation Checklist
- Confirm the role's responsibilities and genuine requirements with relevant stakeholders.
- Define the assessment criteria and how evidence will be evaluated.
- Choose interview questions or work samples that relate to the work.
- Decide whether any AI assistance is appropriate, and establish review and data-handling rules before use.
- Train interviewers on the agreed criteria and process.
- Review the process for accessibility, consistency, and unintended problems.
- Revisit the approach when the role or requirements change.
Sector Considerations
- Government: Check applicable procurement, records, privacy, accessibility, and employment requirements.
- Nonprofit: Make mission-related criteria specific to the work rather than using them as a proxy for personal similarity.
- Business: Align criteria with role responsibilities and the organization's documented selection practices.
Conclusion
Hiring for alignment means connecting the role's real requirements to clear, job-related criteria and assessing candidates consistently. AI may support limited tasks, but people remain responsible for evaluating the evidence and making the hiring decision.
To discuss Gallant Business Solutions' services, visit the services page or book a discovery session →. Gallant's published services include AI implementation, process automation, AI-enriched staffing services, and AI staff training.