MIZA AI
Human-centred AI
Technology increasingly influences decisions about people — from recruitment and progression to performance, workforce planning, talent and employee experience.
- 01Human intervention
- 02Data
- 03Algorithmic processing
- 04Pattern detection
- 05Human judgement
MIZA AI examines the patterns that emerge when digital systems influence decisions about people. It asks who is visible in the data, who may be missed and where a decision needs closer scrutiny.
A pattern can point to a problem in the data, the process or the conditions in which a system is used. Understanding which one matters for decision quality, trust and legal and reputational risk.
AI should support better human decisions — not make people invisible within them.
The approach
Detect → Explain → Investigate → Improve
01
Detect
Surface patterns within technology-enabled people decisions that would otherwise remain invisible.
02
Explain
Make the pattern legible: what is being observed, where, and what it may relate to.
03
Investigate
Support human enquiry into contributing factors, context and process — rather than issuing a verdict.
04
Improve
Change the system, the data or the decision practice, and observe whether the pattern moves.
A critical distinction
A detected pattern is not automatically proof of discrimination.
- 01Pattern detection
- 02Correlation
- 03Possible contributing factors
- 04Causation
- 05Legal discrimination
MIZA AI is designed to hold these apart. Its purpose is to support human investigation into context and contributing factors — and to show where data, decision practice or oversight may need to change. It does not automatically label people or organisations.
Explore the human implications of AI with MIZA
If technology is beginning to shape decisions about people in your organisation, the earliest useful conversation is about what you can currently see — and what you cannot.