For CHROs and People Leaders

20 Practical Ideas for Chief Human Resources Officers to Stay Cognitively Sovereign

Your hiring teams now rely on HireVue to screen candidates before humans see them, meaning poor algorithmic choices eliminate people before you interview. Performance management increasingly treats Workday AI outputs as facts rather than starting points, removing context about team dynamics and individual circumstances.

These are suggestions. Take what fits, leave the rest.

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Hiring and Talent Acquisition

Audit what HireVue rejects before hiringbeginner

Pull rejected candidate data monthly. Ask what skills or backgrounds the algorithm filtered out systematically.

Create mandatory human review checkpointbeginner

Require hiring managers to interview bottom 10 percent of Eightfold AI ranked candidates each quarter.

Test LinkedIn Talent Insights against actual performanceintermediate

Compare predicted performer profiles to your top 20 percent of employees hired before AI tools existed.

Document hiring decisions algorithmic tools rejectedintermediate

Record which candidates your team wanted but AI ranked below threshold. Track their performance elsewhere.

Require diverse candidate sourcing beyond algorithmbeginner

Source talent through networks, universities, and referrals your tools do not access or rank fairly.

Interview candidates the algorithm flagged as risksintermediate

Hire a small cohort the tool marked as outliers. Measure retention and performance at 18 months.

Ask hiring managers why they override AI rankingsbeginner

When humans choose candidates ranked lower, document the interpersonal or contextual signals the tool missed.

Measure algorithmic bias by ethnicity and genderintermediate

Run quarterly reports on acceptance rates by protected characteristics across HireVue and Eightfold screens.

Preserve unstructured interview notes in hiring recordsbeginner

Keep hiring manager written observations alongside Workday AI summary scores. Compare what each captures.

Require business case for rejecting human recommendationsintermediate

When algorithm ranks a candidate lower than your hiring panel wants, get written explanation of the difference.

Performance and Learning Protection

Review Workday AI performance scores against manager notesbeginner

Compare algorithmic ratings to written performance feedback. Flag where they diverge significantly.

Document context Workday AI performance ratings missbeginner

After your managers rate employees, ask what team dynamics or individual circumstances the tool overlooked.

Protect judgment calls in promotion decisionsintermediate

Require HR business partners to present promotion cases to you even when Workday AI scoring is clear.

Train managers to use ChatGPT as assistant onlybeginner

Teach them to write their own performance observations first, then use AI to check tone and completeness.

Map critical skills your L&D is outsourcing to AIintermediate

Audit what employees are learning from ChatGPT training modules versus what your business uniquely needs.

Audit L&D programmes teaching AI use not judgmentintermediate

Check whether your programmes teach employees to use tools without building the thinking skills tools replace.

Preserve one on one coaching outside AI trackingbeginner

Keep some development conversations unlogged by Workday. Let managers give feedback without measurement overhead.

Require written justification for algorithmic underperformance ratingsintermediate

When Workday AI flags someone as underperforming, demand specific evidence beyond the score before action.

Track where managers override AI performance recommendationsintermediate

Record which employees managers rate higher than algorithms suggest. Measure their actual contribution over time.

Build skills redundancy into role designintermediate

Ensure critical roles have multiple people who know how work gets done without depending on AI tools.

Five things worth remembering

Use AI outputs as questions to ask managers, not conclusions to accept.
Hire deliberately against algorithmic type to measure what tools systematically miss.
Keep unstructured human observations in every HR record alongside algorithm scores.
Review whether your L&D builds skills or just teaches tool usage.
Require written human judgment before any algorithmic decision changes someone's career.

20 Practical Ideas for Chief Human Resources Officers to Stay Cognitively Sovereign

Hiring and Talent Acquisition

Performance and Learning Protection

Cognitive Sovereignty: How To Think For Yourself When AI Thinks For You