The principle "AI Ethics Principles" has mentioned the topic "share" in the following places:

    · Build and Validate:

    When analyzing the outcomes of the predictive model, it should be assessed if represented groups in the data sample receive benefits in equal or similar portions and if the AI system disproportionately harms specific members based on demographic differences to ensure outcome fairness.

    · Plan and Design:

    Information sharing as a sub principle should be adhered to with end users and stakeholders of the AI system upon request or open to the public, depending on the nature of the AI system and target market.