Reduce identity-driven noise
The screening pipeline can detect and redact supported personal identifiers before matching. Redaction is evidence to inspect, not a promise that every identifier will be found.
Fairness is a workflow
Make the hiring signal easier to question.
AIHire is designed to make evidence, limitations, and human judgment visible. It supports a fairer review process; it cannot guarantee a fair outcome by itself.
What the product supports
Useful safeguards without false certainty.
Each control narrows a known risk and leaves a record for someone to review. None should be treated as a substitute for a documented hiring process.
Audit role language
Job descriptions can be checked for supported exclusionary or biased terms. Findings are prompts for review, not legal, compliance, or fairness certification.
Show the evidence
Rankings keep confirmed, inferred, missing, unavailable, and warning states distinct so reviewers can understand what the system actually observed.
Keep people accountable
Scores and rankings assist a reviewer. The product does not make a final hiring decision, and human review should consider context that a CV cannot capture.
Good review practice
- Read the underlying CV evidence before acting on a score.
- Investigate missing or unavailable information rather than treating it as a rejection signal.
- Record human-applied decisions separately from AI-generated scores.
- Review the job description for unnecessary requirements before screening.
What AIHire cannot promise
- It cannot detect every form of bias or every personal identifier.
- It cannot infer a person's protected characteristics or potential from a score.
- It cannot validate legal compliance for a particular jurisdiction.
- It cannot replace structured interviews, accommodations, or human accountability.
Want to inspect the details?
Read how uploaded documents are handled, or contact the team about a specific fairness or accessibility concern.