1. Principle of collaboration
with consideration of the diversity of AI systems so that: (a) the benefits of AI systems should increase through the sound progress of AI networking; and that (b) multiple developers’ efforts to control the risks should be coordinated well and operate effectively.
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
Principle of controllability
3. Principle of controllability
Developers should pay attention to the controllability 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
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
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
In addition, in order to ensure the controllability of AI systems, it is encouraged that developers pay attention to whether the supervision (such as monitoring or warnings) and countermeasures (such as system shutdown, cut off from networks, or repairs) by humans or other trustworthy AI systems are effective, to the extent possible in light of the characteristics of the technologies to be adopted.
3. Principle of controllability
Verification and validation are methods for evaluating and controlling risks in advance.
3. Principle of controllability
verification and validation are methods for evaluating and controlling risks in advance.
3. Principle of controllability
Verification and validation are methods for evaluating and controlling risks in advance.
3. Principle of controllability
For reward hacking, see, e.g., Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman & Dan Mané, Concrete Problems in AI safety, arXiv: 1606.06565 [cs.AI] (2016).
4. Principle of safety
Principle of safety
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.
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.
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.
4. Principle of safety
● To make efforts to implement measures, throughout the development stage of AI systems to the extent possible in light of the characteristics of the technologies to be adopted, to contribute to the intrinsic safety (reduction of essential risk factors such as kinetic energy of actuators) and the functional safety (mitigation of risks by operation of additional control devices such as automatic braking) when AI systems work with actuators or other devices.
4. Principle of safety
● To make efforts to implement measures, throughout the development stage of AI systems to the extent possible in light of the characteristics of the technologies to be adopted, to contribute to the intrinsic safety (reduction of essential risk factors such as kinetic energy of actuators) and the functional safety (mitigation of risks by operation of additional control devices such as automatic braking) when AI systems work with actuators or other devices.
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).
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.
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.
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.