An HR team member is reviewing a Claude-drafted set of interview questions intended for use...

Under the objective Understand ethical implications of AI usage , applying AI in human resources demands rigorous bias auditing to ensure fair, standardized, and legally defensible evaluation practices.

Structured interviewing requires that questions focus strictly on observable, job-related competencies and avoid implicit assumptions or biased phrasing that could systematically disadvantage candidates from diverse non-traditional backgrounds (Option A). Human review must verify that Claude-generated questions remain objective, relevant, and standardized across applicants. Assuming AI outputs are unbiased by default and checking only stylistic tone (Option B) introduces compliance and equity risks. Injecting unstructured, ad-hoc questions per candidate (Option C) or scrambling question order inconsistently (Option D) undermines standardization and equitable scoring across applicant pools.