How we use AI — and how we keep it fair
AI powers our assessments, scoring, and interviews. Here's how we make sure it's fair, transparent, and secure.
Where AI fits in
AI plays three roles in Kaairo — all designed to help your team evaluate talent faster and more consistently.
Assessment creation
AI generates role-specific test content — case studies, scenarios, and questions. Your team reviews and edits everything before it goes live.
Scoring
Candidate responses are scored by AI using structured rubrics. We use a deterministic configuration so the same answer always gets the same score.
Voice interviews
Kaaira, our AI interviewer, conducts real-time voice conversations. Questions adapt to the candidate’s responses. The transcript is scored after the interview.
What makes it fair
Structured rubrics, not gut feelings
Each test type has its own structured rubric. Case studies evaluate problem-solving depth, voice interviews are scored against the competencies you configure for each role, and SJTs and MCQs use deterministic rule-based scoring. All scores normalise to a 0–100 scale.
Blind to who’s answering
The scoring model receives only the candidate’s response text. No name, gender, age, or background information is included.
Consistent across every candidate
Deterministic AI means no randomness. Automated safeguards flag low-effort responses and apply score adjustments identically for everyone.
Humans make the decisions
AI scores candidates but never shortlists, rejects, or hires. Those are always your team’s calls.
What candidates see
Candidates are informed at every step of the process.
- Candidates give explicit consent before any AI-scored test
- Voice interviews include a clear notice that they’re speaking with an AI interviewer and that their responses will be transcribed and scored
- Candidates see their scores after completion — overall result, score breakdown, and per-competency analysis
How we handle data
Isolated by organisation
Every database table enforces row-level isolation. One organisation cannot access another’s data.
No video stored
Camera proctoring runs entirely in the candidate’s browser. We store only behavioural flags (e.g., “looked away for 3 seconds”), never video or images.
Not used for training
Candidate data processed through our AI systems is not used to train or improve any AI models.
Access controls
Only org owners and managers can view candidate results. Owners control who has access.
Frequently asked questions
Does AI make hiring decisions?
No. AI provides scores. Your team makes every hiring decision.
Can the same answer get different scores?
No. Our AI uses a deterministic configuration — identical responses always receive identical scores.
Is candidate data used to train AI models?
No. Data is used for scoring only, not for training.
What data is collected from candidates?
Written responses, timestamps, and proctoring flags if proctoring is enabled. No video recordings, no biometric data.
Can data be deleted on request?
Yes. Contact the organisation that invited you, or reach out to us directly.
Questions? Get in touch
Want to learn more about how Kaairo uses AI responsibly? We're happy to walk you through it.
Contact Us