Causal Fairness
This technology development focuses on fairness in decisions that affect people. It addresses organizations seeking a clearer discussion of unfair treatment and the fairness needs of their particular decision setting.
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Causal Fairness / PUBLIC BENEFITS
Clearer review discussions
Attention to context
Put fair treatment of people at the centre of AI-assisted decisions.
WHAT THIS MEANSDesigned around
Designed around
the people it serves.
Fair treatment
Addresses the concern that people may be treated unfairly by an AI-assisted decision.
Clearer review discussions
Aims to support informed conversations about fairness concerns among the people responsible for a decision service.
Attention to context
Recognizes that fairness expectations need to reflect the decision, its purpose and the people affected.
APPLICATIONSWhere it could
Where it could
make a difference.
- Organizations considering fairness in AI-assisted decisions and competition experiences.
The intended decision setting, fairness goals and validation needs are agreed for each project. Responsibility for consequential decisions remains with the relevant people and organizations.
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