Causal Discovery for Fairness

Understand

It is crucial to consider the social and ethical consequences of AI and ML based decisions for the safe and acceptable use of these emerging technologies.

• Fairness, in particular, guarantees that the ML decisions do not result in discrimination against individuals or minorities.
• Identifying and measuring reliably fairness/discrimination is better achieved using causality which considers the causal relation, beyond mere association, between the sensitive attribute (e.g.
• gender, race, religion, etc.) and the decision (e.g.