The principle "Draft Ethics Guidelines for Trustworthy AI" has mentioned the topic "validation" in the following places:

    · 2. The Principle of Non maleficence: “Do no Harm”

    Therefore not only should AI be designed with the impact on various vulnerable demographics in mind but the above mentioned demographics should have a place in the design process (rather through testing, validating, or other).

    · 2. Data Governance

    In addition, it must be ensured that the proper division of the data which is being set into training, as well as validation and testing of those sets, is carefully conducted in order to achieve a realistic picture of the performance of the AI system.