The principle "Artificial Intelligence Application Criteria" has mentioned the topic "bias" in the following places:

    4. Fairness and diversity

    Developers of AI technology should minimize systemic biases in AI solutions that may result from deviations inherent in data and algorithms used to develop solutions.

    5. Accountability and timely correction

    Errors, defects, biases, or other negative effects of ad intelligence solutions should be recognized and actively addressed as soon as they are discovered.