The principle "Draft AI Utilization Principles" has mentioned the topic "security" in the following places:

    1. Principle of proper utilization

    of damages caused by accidents, security breaches, privacy infringement, etc.

    2. Principle of data quality

    B) Attention to security vulnerabilities of AI by learning inaccurate or inappropriate data

    2. Principle of data quality

    Users and data providers may be expected to pay attention to the risk that the security of AI might become vulnerable by learning inaccurate or inappropriate data.

    5. Principle of security

    Principle of security

    5. Principle of security

    Users and data providers should pay attention to the security of AI systems or AI services.

    5. Principle of security

    A) Implementation of security measures

    5. Principle of security

    Users may be expected to pay attention to the security of AI and take reasonable measures in light of the technology level at that time.

    5. Principle of security

    In addition, users may be expected to consider measures to be taken against security breaches of AI in advance.

    5. Principle of security

    for security measures

    5. Principle of security

    AI service providers may be expected, with regard to their AI services, to provide services for security measures to end users and share incident information with end users.

    5. Principle of security

    C) Attention to security vulnerabilities of AI by learning inaccurate or inappropriate data

    5. Principle of security

    Users and data providers may be expected to pay attention to the risk that AI’s security might become vulnerable by learning inaccurate or inappropriate data.

    6. Principle of privacy

    Consumer users may be expected to pay attention not to give information that is highly confidential (including information on others as well as information on users’ themselves) to AI carelessly, by excessively empathizing with AI such as pet robots, or by other causes.