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.

    · (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.

    · (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.

    · (3) Privacy

    Personal data varies from those unjust use of which would be likely to greatly affect rights and benefits of individuals (Typically thought and creed, medical history, criminal record, etc.)

    · (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.

    · (5) Fair Competition

    By using AI, influence for wealth and society should not be overly biased on some stakeholders in the society.

    · (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.

    · (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.

    · (6) Fairness, Accountability, and Transparency

    Under the AI design concept, all people must be treated fairly without unjustified discrimination on the grounds of diverse backgrounds such as race, sex, nationality, age, political beliefs, religion, etc.