SHRM Practice Question Walkthrough: When AI Writes the Review
This walkthrough starts with a framing mistake that shows up often in AI-enabled HR work: when review language feels off, the instinct is to police the tool. The better move is to coach the manager back into ownership.
By Michael D. Penn, SPHR SHRM-SCP · April 14, 2026
Author Expertise
Written and reviewed by Michael D. Penn, SHRM-SCP, SPHR, founder of CriticalThink HR. Michael earned all five major HR certifications in under two years and built CriticalThink HR from direct exam-prep, candidate-support, enterprise systems, and AI product work.
Short Answer
When AI-written performance review language is vague or misaligned, HR should coach the manager first. The manager still owns the observations, examples, tone, and final feedback, even when AI helps with drafting.
- Audience
- SHRM-CP candidates and HR professionals managing AI-assisted performance review risks.
- Outcome
- A first move that preserves manager accountability instead of blaming or banning the tool too early.
Key Takeaways
- The root issue is not that AI drafted text; it is that the manager is drifting away from ownership, observation, and constructive accountability.
- The strongest first HR move coaches the decision-maker before treating the tool as the decision-maker.
- Useful AI guardrails preserve manager accountability: the manager must be able to explain, defend, and deliver the feedback in plain language.
The Scenario
The Options
What is the strongest first HR move when a manager relies too heavily on AI-written performance review language?
A. Ban the AI tool immediately
Tell the manager not to use AI-generated review language and escalate the tool for restriction.
B. Coach the manager privately - Defensible answer
Meet with the manager to reset accountability, require feedback to be anchored in observable performance, and create practical guardrails for AI-assisted drafting.
C. Rewrite the review for the manager
Have HR rewrite the performance review so the employee receives clearer feedback and the immediate document problem is solved.
D. Escalate straight to IT or the vendor
Treat the issue as a technical problem and ask IT or the AI vendor to adjust the system before the review cycle continues.
The Defensible Answer
The most defensible action is Option B: coach the manager privately because the human leadership gap is the first problem HR has to fix before any tool restriction, rewrite, or vendor review will produce a defensible performance conversation.
CriticalThink HR™ is not affiliated with or endorsed by SHRM. SHRM is a registered trademark of the Society for Human Resource Management.
When AI shows up inside performance reviews, the wrong debate starts fast. People ask whether the tool should be blocked, rewritten, or tightly censored.
That debate can miss the actual issue. In this scenario, the deeper problem is that a manager is starting to treat generated language as a substitute for direct observation, judgment, and constructive accountability.
The strongest HR move is not to scapegoat the algorithm. It is to coach the manager, reset expectations, and make clear that every sentence in a review still belongs to a human leader.
What this question is really testing
This is a judgment question about leadership behavior, not software settings. The signal is a manager capability gap: the manager wants efficiency, but is drifting away from the obligation to deliver specific, constructive, defensible feedback.
Under the 2026 SHRM BASK, that maps cleanly to Leadership and Navigation. The leader who performs well here is the one who can redirect behavior, preserve standards, and keep accountability with the person who owns the review.
The first move is about coaching leadership judgment, not controlling the interface.
Why coaching beats censoring
A ban-first response can feel decisive, but it often solves the wrong problem first. If a manager is using AI to avoid difficult conversations, soften ownership, or outsource evidence-based judgment, removing the tool alone does not build better leadership.
Root issue
The manager is over-delegating judgment.
Best HR move
Coach privately, reset standards, and keep the relationship intact.
Why it holds up
It corrects the behavior without pretending the tool owns the decision.
That is the core move in this walkthrough: coach the manager, then co-create practical AI review guardrails that reinforce human accountability.
Practical coaching language
The coaching tone matters. HR should not start by shaming the manager for trying a new tool. The stronger move is to redirect the manager toward better judgment and better review discipline.
Reset ownership
“Use AI for a draft if it helps, but the review still has to reflect your own observation, examples, and judgment.”
Raise the evidence standard
“If you cannot explain the feedback in plain language and tie it to specific behaviors, it is not ready to use.”
Protect the conversation
“The tool can help with drafting, but it cannot replace the manager's job of leading the conversation constructively and accountably.”
Why the weaker first moves fail
Ban the tool immediately
This is a premature control response. It may look strong, but it leaves the manager's judgment gap untouched.
Rewrite the review for the manager
This turns HR into the ghostwriter and removes accountability from the person who is supposed to lead the employee conversation.
Escalate straight to IT or the vendor
That is a sequencing error. Technical review may matter later, but the immediate HR task is to address manager application and people impact.
How this maps to Leadership and Navigation
Leadership and Navigation is not just about taking a stand. It is about taking the right stand in the right order. Here, that means preserving manager ownership while giving the manager a better way to use emerging technology.
HR adds value by coaching the decision-maker, protecting psychological safety, and making sure AI remains an aid to disciplined leadership instead of a workaround for it.
Video chapters
Frequently asked questions
What is the strongest first HR move when a manager leans too heavily on AI-written review language?
The strongest first move is a private coaching conversation with the manager. HR should reset accountability, require the manager to anchor feedback to observable performance, and help establish practical guardrails for how AI can support drafting without replacing judgment.
Why is banning or censoring the AI tool a weaker first response?
Because the core problem is not that text was generated. The core problem is that the manager is using the tool to bypass ownership, specificity, and constructive leadership. If HR only suppresses the tool, the capability gap stays in place.
What does manager accountability mean in AI-assisted performance reviews?
It means the manager still owns the observations, examples, tone, and final wording. If the manager cannot explain or defend the feedback without pointing back to the tool, the review is not ready.
How does this walkthrough connect to SHRM Leadership and Navigation?
It rewards the leader who builds capability, clarifies standards, and preserves accountability under new technology pressure. That is a clean Leadership and Navigation move under the 2026 SHRM BASK: lead the human system instead of blaming the tool.
Disclaimer: CriticalThink HR™ is not affiliated with or endorsed by SHRM. SHRM, SHRM-CP, and SHRM-SCP are registered trademarks of the Society for Human Resource Management. This article is for educational purposes only.
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