The principle "AI R&D Principles" has mentioned the topic "explainable" 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.

    4. Principle of safety

    ● To make efforts to explain the designers’ intent of AI systems and the reasons for it to stakeholders such as users, when developing AI systems to be used for making judgments regarding the safety of life, body, or property of users and third parties (for example, such judgments that prioritizes life, body, property to be protected at the time of an accident of a robot equipped with AI).