Hiring review
Review cover letters, writing samples, and application materials for AI-writing risk while keeping hiring decisions fair and documented.
Updated 2026-05-31
Short, citation-ready explanations for common AI detection and writing-integrity questions.
Recruiters can check cover letters and writing samples for AI-writing risk, but the result should be one hiring signal. DeepDetector helps identify passages for follow-up while keeping decisions tied to role requirements, candidate context, and a clear AI-use policy.
Candidates should not be automatically rejected because text is flagged. Hiring teams should decide whether AI assistance violates the role or application policy, review the evidence, ask follow-up questions when appropriate, and document the reason for any decision.
AI detection can review cover letters, written responses, essays, take-home writing samples, and other candidate-submitted text. For fairness, recruiters should use the same documented process across applicants and avoid relying on a detector score alone.
Candidates may use AI for formatting, grammar, translation, or drafting. DeepDetector helps recruiters identify AI-writing risk while keeping final decisions grounded in role requirements and policy.
Detector output should not automatically reject a candidate. It can guide follow-up questions, writing-sample verification, or role-specific assessment.
A consistent AI-use policy, reviewer notes, and clear escalation rules help hiring teams avoid ad hoc decisions when application text appears AI-assisted.
Recruiters can use detectors as one signal, but they should verify context and avoid making high-stakes hiring decisions from a score alone.
DeepDetector can support review of cover letters, writing samples, essays, short answers, and other candidate-submitted text.
That depends on the role and policy. A fair workflow defines acceptable assistance, checks evidence, and documents any follow-up.