AI Candidate Evaluation Implementation Checklist
Use this checklist to document and review the setup, controls, and readiness of an AI-based candidate evaluation process.
Implementation Context
Organization / Company Name
*
Team or Department Name
*
Primary Contact Role / Title
*
Implementation Phase / Status
*
Planning
Design
Pilot
Live
Post-launch
AI Candidate Evaluation Scope
Roles or job families being evaluated
*
Hiring volume or expected usage level
*
Low
Medium
High
Other
Candidate stage(s) supported by AI
*
Resume screening
Application review
Interview scoring support
Shortlist creation
Recommendation support
Other
Data Inputs and Evaluation Design
Candidate data inputs used by the AI
*
Resume
Application form responses
Interview notes
Assessment results
Portfolio
Work sample
Reference notes
Other
Are any data types excluded from evaluation?
*
Yes
No
Scoring approach used by the AI
*
Map each data input to its evaluation purpose or weight
*
Rows
Evaluation purpose / weight
Resume
1
Application form responses
2
Interview notes
3
Assessment results
4
Portfolio
5
Work sample
6
Reference notes
7
Other data input
8
Scoring, Review, and Human Oversight
Scoring Criteria or Dimensions
*
Confidence in Human Review Override Process
*
Low Confidence
1
2
3
4
5
6
7
8
9
High Confidence
10
1 is Low Confidence, 10 is High Confidence
Final Hiring Decisions Human-Approved?
*
Yes
No
Human Review Required At
*
Before model recommendation is shared
After candidate screening
Before final shortlist approval
Before final hiring decision
When confidence is low
When an exception or override is requested
Other
Fairness, Bias, and Quality Checks
Bias and fairness controls in place
*
Adverse impact review
Sample testing
Error review
Audit logging
Periodic recalibration
Other
Statement rating: fairness and quality readiness
*
Rows
Strongly disagree
Disagree
Neutral
Agree
Strongly agree
Validation testing has been completed on representative samples
9
10
11
12
13
Known error patterns have been reviewed and documented
14
15
16
17
18
Monitoring is in place to detect adverse impact over time
19
20
21
22
23
Audit logs are retained for evaluation decisions and model outputs
24
25
26
27
28
A recalibration cadence has been defined and assigned
29
30
31
32
33
Overall fairness monitoring readiness
*
1
2
3
4
5
Overall model performance review readiness
*
1
2
3
4
5
Known risks, gaps, or follow-up actions
Deployment Readiness and Follow-up
Go-Live Readiness Status
*
Not ready
Ready with conditions
Ready
Launch Date or Target Date
 -
Month
 -
Day
Year
2 digit month, 2 digit day, 4 digit year
Date
Owner for Ongoing Monitoring
*
Next Actions or Blockers
*
Notes or Dependencies
Submit
Should be Empty: