Fairness and equity

Deployers of AI systems should conduct regular testing of such systems to confirm if there is bias and where bias is confirmed, make the necessary adjustments to rectify imbalances to ensure equity.

To mitigate discrimination, it is important that the design, development, and deployment of AI systems align with fairness and equity principles.

An example of a dark pattern is employing the use of default options that do not consider the end user’s interests, such as for data sharing and tracking of the user’s other online activities.