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The content provided on this website is for informational purposes only. It is not intended to be, and should not be considered, legal advice. The information is not guaranteed to be correct, complete, or up to date.

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The information in articles and podcast episodes does not constitute legal advice.

It may not be relevant to your circumstances, and may not be appropriate for high-risk use cases (e.g., as outlined in The Artificial Intelligence Act - Regulation (EU) 2024/1689, a.k.a. the EU AI Act).

It was written for consideration in certain algorithmic contexts within banks and insurance companies, may not apply to other contexts, and may not be relevant to other types of organisations.

Algorithmic fairness frameworks are not without challenges. They may not capture all forms of bias, especially those deeply embedded in historical data or societal structures. Fairness metrics can sometimes conflict, making it impossible to satisfy all fairness criteria simultaneously.