For HR and People Management

20 Practical Ideas for HR and People Management to Stay Cognitively Sovereign

Workday AI and HireVue can screen candidates at scale while embedding historical bias invisibly into your hiring process. Without deliberate human checkpoints, your organisation loses the ability to spot unfair patterns until damage is done.

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

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Hiring and Talent Decisions

Audit what your hiring AI actually learnedbeginner
Request HireVue or Eightfold to show which candidate traits drive their recommendations, not just scores.
Require a human to reject every AI recommendationbeginner
If someone is screened out by algorithm, a recruiter must read their full application before final rejection.
Track hiring outcomes by demographic group monthlyintermediate
Monitor whether your AI tools screen out protected characteristics at different rates than human reviewers do.
Interview candidates your AI ranked lowestintermediate
Occasionally interview people Workday or Eightfold ranked near the bottom to test whether the ranking makes sense.
Keep LinkedIn Talent Insights as research onlybeginner
Use market data for planning, but do not let it replace individual assessment of your own candidates.
Document why you hired someone AI flaggedbeginner
When you hire someone your system downranked, write down the human reason for the decision.
Test AI scoring on your best performersintermediate
Run your current top performers through HireVue or Eightfold and check if the algorithm would have hired them.
Create a hiring appeals process for screened candidatesintermediate
Allow candidates or their advocates to challenge algorithmic rejection and request human review by recruiter.
Rotate which humans review AI recommendationsbeginner
Do not let the same person rubberstamp algorithm suggestions, or they become invisible to challenge.
Ask your AI vendor what training data was usedundefined
If HireVue trained on previous hires who were mostly male, that bias will repeat unless you know it exists.

Performance and Retention

Stop letting BambooHR AI alone rate performanceundefined
Use system data as input to human conversation, never as the final performance rating source.
Record the human reasoning behind each ratingundefined
When your manager rates an employee, they must write brief notes explaining context the data missed.
Require managers to challenge AI-flagged low performersundefined
If Workday AI flags someone for poor performance, manager must have a real conversation before action.
Check whether AI ratings correlate with protected groupsundefined
Run reports showing average AI performance scores by gender, age, ethnicity to spot systematic unfairness.
Create space for context managers must explainundefined
After AI rates performance, ask managers to write what numbers cannot capture about the person's contribution.
Train managers to distrust efficiency metrics aloneundefined
Help them see when BambooHR data reflects luck, timing, or team circumstances rather than individual capability.
Build in blind spots review once per quarterundefined
Have HR and leadership discuss what performance metrics might be systematically missing in your organisation.
Require human approval before performance-based actionsundefined
No one is put on improvement plan or passed over for promotion based only on AI-generated scores.
Ask high performers why they stay despite AIundefined
Survey top talent about whether they feel fairly seen and understood by management systems.
Keep peer feedback separate from algorithmic ratingsundefined
Do not let Workday AI collapse colleague input into a score that removes context about relationships and support.

Five things worth remembering

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