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Disclaimer: this website is for information only

Disclaimer

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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.

Use of this website does not create an attorney-client relationship. Seek the services of a qualified legal professional for legal advice tailored to your specific situation. We disclaim all liability in respect to actions taken or not taken based on any content provided on this site.

 

Articles and Podcast Content

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. 

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