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Engineering Leadership · Playbook · Core · ~4 min read
ENGINEERING LEADERSHIP · PLAYBOOK · CORE

Publish Your Candidate-AI Stance Before the Next Interview Starts

Right now, whether a candidate may use AI in your interviews is decided by whichever interviewer they happen to get. This playbook replaces that improvisation with a written stance: allowed tools per round, disclosure rules, and a defined response to covert use — published to candidates before they ever join the call.

Workflow area: Hiring & Performance · Tier: Core · Hands-on time: ~30 minutes

Ask five of your interviewers what happens if a candidate uses AI in the screen, and you'll get five answers — which means your loop currently has five policies, all unwritten. Candidates are in an impossible position: the tools are their daily workflow, some companies encourage them, some silently fail anyone suspected of it, and almost nobody says which they are. The unfairness runs both directions — honest candidates disadvantage themselves by asking, and interviewers freelance detection judgments they're unqualified to make. A one-page written stance fixes both, and pb-18's round design gives you the vocabulary for it.

When to use — and when not to

  • Use it before any hiring cycle with AI-ambiguous roundswhich is every cycle now; the policy should ship alongside the redesigned loop from pb-18.
  • Use it when an interviewer flags "I think they were using something"a suspicion with no policy behind it produces either an unfair rejection or an unexamined hire; the policy decides in advance which evidence matters and who judges it.
  • Use it as employer-brand signala published, confident AI stance tells candidates you've thought about the actual job; silence tells them you'll improvise their fate.
  • Skip a detection-first postureproctoring software, gaze tracking and accusation workflows measure stealth and punish nervous honest people; if your instinct is surveillance, redesign the rounds (pb-18) until covert AI stops helping.
  • Skip a policy you won't enforce evenlya stance applied to campus hires but waived for the staff-engineer referral is worse than no policy; it's documented inconsistency.

The recipe

  1. Decide the stance per round, from the round's purpose. Pull the loop design from pb-18 and fill a simple matrix: for each round — AI allowed (which tools), AI required (it's the skill being tested), or AI-free (and why). The "why" column is mandatory; it becomes the candidate-facing language.

  2. Draft the policy with AI, covering the three hard cases.

    Draft a candidate-facing AI-use policy for our interview loop.
    Round matrix: [PASTE: round → allowed/required/AI-free → why]
    
    The policy must state, in plain language a stressed candidate
    skims in 2 minutes:
    1. PER-ROUND RULES — what's allowed in each round, including
       whether our platform provides the AI tool or they bring
       their own, and what "allowed" covers (autocomplete? chat?
       agents?).
    2. DISCLOSURE — when they must say they're using AI, and our
       promise: disclosed use within the rules never counts
       against them.
    3. COVERT USE — what happens if AI is used where prohibited:
       who reviews the evidence, the candidate's chance to
       respond, and the outcome range. No automated rejection.
    4. ACCESSIBILITY — assistive-technology use is not "AI use"
       and is handled by accommodation, not this policy.
    Tone: confident, not paranoid. We hire people who work with
    AI; the rules exist so every candidate is judged the same way.
    
  3. Pressure-test the draft against real scenarios. Same conversation: "Test this policy against: (a) candidate uses AI autocomplete out of habit in an AI-free round and self-reports immediately; (b) interviewer suspects covert chat use but has no evidence beyond pace; (c) candidate asks mid-round whether they may use AI. Does the policy give the interviewer a script for each?" Good output exposes the gaps:

    Scenario (b) FAILS under the current draft: the policy says
    covert use "may end the process" but gives the interviewer no
    standard of evidence. Suggested fix: interviewers never
    adjudicate live — they note observations in the scorecard;
    the hiring manager reviews, and pace alone is never evidence.
    

    That fix — observations in the scorecard, adjudication by the hiring manager, named evidence standards — is the heart of a fair covert-use process. Adopt it.

  4. Configure the platform to make the rules physical. Wherever tooling can enforce the matrix, let it: enable the interview platform's AI mode for AI-allowed rounds (pinned model, logged transcript), disable copy-paste or external tools only where the round is declared AI-free, and make the platform's behavior match the published policy exactly. A policy the platform contradicts trains candidates to ignore the document.

  5. Publish, brief, and version it. The policy goes in the candidate-prep email before the first technical round — not buried in a portal. Brief every interviewer on their script for the three scenarios, and version the document: model capabilities and your loop both change, so the policy carries a date and an owner, reviewed each cycle alongside pb-18's single-prompt audit.

Make it yours

  • Small team or startup: a half-page in the interview-invite email is enough — per-round rules, the disclosure promise, and "if something's unclear, ask; asking is never penalized." Your advantage is that all three interviewers can actually agree in one meeting.
  • Large org or GCC: route the covert-use section through HR and legal — outcome processes touching candidate rejection need their sign-off, and some jurisdictions regulate automated hiring decisions. Standardize one policy across the site; per-team variants guarantee inconsistent candidate treatment and a discrimination-adjacent audit finding.
  • Hiring for client-facing or regulated seats: if client contracts restrict AI use on their work, say so in the policy ("this role's day-to-day AI use is governed by client agreements") — candidates deserve to know the job's real constraints before they optimize for your AI-allowed round.

Quality check

  • Every round's rule has a stated reasonrules with reasons get followed; bare prohibitions get tested.
  • The disclosure promise is realaudit a cycle's scorecards: if disclosed, in-policy AI use shows up as a negative comment anywhere, interviewers haven't internalized the policy and candidates will learn to hide.
  • No interviewer adjudicates covert use aloneevidence goes to the hiring manager, the candidate gets a response opportunity, and pace or nervousness is never evidence.
  • Platform settings match the published documentclick through each round's configuration yourself; drift here is silent policy repeal.
  • The policy reached candidates before the roundcheck the prep-email template; a policy candidates first hear about when accused is not a policy, it's a trap.
Warning

Covert-use determinations affect a person's livelihood and generate records discoverable in hiring disputes — never paste identifiable candidate video, transcripts, or accusation notes into consumer AI tools, involve HR before any adverse decision, and keep evidence standards written down and applied identically to every candidate.

Key Takeaway:

Whatever your stance — embrace, restrict by round, or hybrid — the only indefensible position is the unwritten one: publish the rules before the interview, promise that disclosed compliance is never penalized, and make a named human, not an interviewer's hunch, the judge of any violation.

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