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.
⎘ Copy all 20 ideas
All
Beginner
Intermediate
Advanced
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.
Copy
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.
Copy
Track hiring outcomes by demographic group monthlyintermediate
Monitor whether your AI tools screen out protected characteristics at different rates than human reviewers do.
Copy
Interview candidates your AI ranked lowestintermediate
Occasionally interview people Workday or Eightfold ranked near the bottom to test whether the ranking makes sense.
Copy
Keep LinkedIn Talent Insights as research onlybeginner
Use market data for planning, but do not let it replace individual assessment of your own candidates.
Copy
Document why you hired someone AI flaggedbeginner
When you hire someone your system downranked, write down the human reason for the decision.
Copy
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.
Copy
Create a hiring appeals process for screened candidatesintermediate
Allow candidates or their advocates to challenge algorithmic rejection and request human review by recruiter.
Copy
Rotate which humans review AI recommendationsbeginner
Do not let the same person rubberstamp algorithm suggestions, or they become invisible to challenge.
Copy
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.
Copy
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.
Copy
Record the human reasoning behind each ratingundefined
When your manager rates an employee, they must write brief notes explaining context the data missed.
Copy
Require managers to challenge AI-flagged low performersundefined
If Workday AI flags someone for poor performance, manager must have a real conversation before action.
Copy
Check whether AI ratings correlate with protected groupsundefined
Run reports showing average AI performance scores by gender, age, ethnicity to spot systematic unfairness.
Copy
Create space for context managers must explainundefined
After AI rates performance, ask managers to write what numbers cannot capture about the person's contribution.
Copy
Train managers to distrust efficiency metrics aloneundefined
Help them see when BambooHR data reflects luck, timing, or team circumstances rather than individual capability.
Copy
Build in blind spots review once per quarterundefined
Have HR and leadership discuss what performance metrics might be systematically missing in your organisation.
Copy
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.
Copy
Ask high performers why they stay despite AIundefined
Survey top talent about whether they feel fairly seen and understood by management systems.
Copy
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.
Copy
Five things worth remembering
The person advocating for an employee inside your system matters more than any algorithm's fairness promise.
If you cannot explain why the AI recommended something, you cannot defend it to an employee or a lawyer.
Bias at scale looks like efficiency until it harms someone. Audit monthly, not annually.
Human judgement is not the problem you are solving. It is the safeguard you need to keep.
Your best candidates are often people your AI will downrank. Test this assumption constantly.
The Book — Out Now
Cognitive Sovereignty: How To Think For Yourself When AI Thinks For You
Read the first chapter free.
Notify Me
✓ You're on the list — read Chapter 1 now
No spam. Unsubscribe anytime.