The principle "Social Principles of Human-centric AI (Draft)" has mentioned the topic "fairness" in the following places:

    · (2) Education

    Literacy education provides the following contents: 1) Data used by AI are usually contaminated by bias, 2) AI is easy to generate unwanted bias in its use, and 3) The issues of impartiality, fairness, and privacy protection which are inherent to actual use of AI.

    · (5) Fair Competition

    · (5) fair Competition

    · (5) Fair Competition

    A fair competitive environment must be maintained to create new businesses and services, to keep economic growth sustainable, and to solve social issues.

    · (5) Fair Competition

    There must not be unreasonable data collection or unfair competition under a dominant position of a particular company by concentrating AI resources.

    · (6) Fairness, Accountability, and Transparency

    · (6) fairness, Accountability, and Transparency

    · (6) Fairness, Accountability, and Transparency

    Under the "AI Ready society", when using AI, fair and transparent decision making and accountability for the results should be appropriately ensured, and trust in technology should be secured, in order that people using AI will not be discriminated on the ground of the person's background or treated unjustly in light of human dignity.