The principle "Principles for the Stewardship of AI Applications" has mentioned the topic "fairness" in the following places:

    3. Scientific Integrity and Information Quality

    Best practices include transparently articulating the strengths, weaknesses, intended optimizations or outcomes, bias mitigation, and appropriate uses of the AI application’s results.

    7. Fairness and Non Discrimination

    fairness and Non Discrimination

    7. Fairness and Non Discrimination

    Fairness and Non discrimination

    7. Fairness and Non Discrimination

    Agencies should consider in a transparent manner the impacts that AI applications may have on discrimination.

    7. Fairness and Non Discrimination

    AI applications have the potential of reducing present day discrimination caused by human subjectivity.

    7. Fairness and Non Discrimination

    At the same time, applications can, in some instances, introduce real world bias that produces discriminatory outcomes or decisions that undermine public trust and confidence in AI.

    7. Fairness and Non Discrimination

    At the same time, applications can, in some instances, introduce real world bias that produces discriminatory outcomes or decisions that undermine public trust and confidence in AI.

    7. Fairness and Non Discrimination

    When considering regulations or non regulatory approaches related to AI applications, agencies should consider, in accordance with law, issues of fairness and non discrimination with respect to outcomes and decisions produced by the AI application at issue, as well as whether the AI application at issue may reduce levels of unlawful, unfair, or otherwise unintended discrimination as compared to existing processes.

    7. Fairness and Non Discrimination

    When considering regulations or non regulatory approaches related to AI applications, agencies should consider, in accordance with law, issues of fairness and non discrimination with respect to outcomes and decisions produced by the AI application at issue, as well as whether the AI application at issue may reduce levels of unlawful, unfair, or otherwise unintended discrimination as compared to existing processes.

    7. Fairness and Non Discrimination

    When considering regulations or non regulatory approaches related to AI applications, agencies should consider, in accordance with law, issues of fairness and non discrimination with respect to outcomes and decisions produced by the AI application at issue, as well as whether the AI application at issue may reduce levels of unlawful, unfair, or otherwise unintended discrimination as compared to existing processes.

    7. Fairness and Non Discrimination

    When considering regulations or non regulatory approaches related to AI applications, agencies should consider, in accordance with law, issues of fairness and non discrimination with respect to outcomes and decisions produced by the AI application at issue, as well as whether the AI application at issue may reduce levels of unlawful, unfair, or otherwise unintended discrimination as compared to existing processes.