The principle "AI R&D Principles" has mentioned the topic "verification" in the following places:

    2. Principle of transparency

    Developers should pay attention to the verifiability of inputs outputs of AI systems and the explainability of their judgments.

    2. Principle of transparency

    It is desirable that developers pay attention to the verifiability of the inputs and outputs of AI systems as well as the explainability of the judgment of AI systems within a reasonable scope in light of the characteristics of the technologies to be adopted and their use, so as to obtain the understanding and trust of the society including users of AI systems.

    3. Principle of controllability

    In order to assess the risks related to the controllability of AI systems, it is encouraged that developers make efforts to conduct verification and validation in advance.

    3. Principle of controllability

    verification and validation are methods for evaluating and controlling risks in advance.

    4. Principle of safety

    ● To make efforts to conduct verification and validation in advance in order to assess and mitigate the risks related to the safety of the AI systems.

    5. Principle of security

    ● To make efforts to conduct verification and validation in advance in order to assess and control the risks related to the security of AI systems.