Candidate scoring sounds great until someone asks: "Why did this person get 82 and that person get 61?"
If you can't answer clearly, your score is a liability.
What any scoring system must provide
Explainability (why the score exists)
The score must show:
- Top contributing signals
- Strengths and weaknesses
- Evidence from answers and behavior
Job relevance
No generic "smart person" scoring. The score must match the role.
Consistency
Similar evidence should produce similar scores. If results swing wildly, the scoring is unstable.
Human control
AI supports decisions. Humans own the final call.
Auditability
Over time, high scores should correlate with performance. If not, the process needs adjustment.
Final takeaway
AI in hiring is only useful when it makes decisions more consistent and defensible—not more mysterious.
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