8. Open cooperation

The development of artificial intelligence requires the concerted efforts of all countries and all parties, and we should actively establish norms and standards for the safe development of artificial intelligence at the international level, so as to avoid the security risks caused by incompatibility between technology and policies.
Principle: Shanghai Initiative for the Safe Development of Artificial Intelligence, Aug 30, 2019

Published by Shanghai Advisory Committee of Experts on Artificial Intelligence Industry Security

Related Principles

1. Artificial intelligence should be developed for the common good and benefit of humanity.

The UK must seek to actively shape AI's development and utilisation, or risk passively acquiescing to its many likely consequences. A shared ethical AI framework is needed to give clarity as to how AI can best be used to benefit individuals and society. By establishing these principles, the UK can lead by example in the international community. We recommend that the Government convene a global summit of governments, academia and industry to establish international norms for the design, development, regulation and deployment of artificial intelligence. The prejudices of the past must not be unwittingly built into automated systems, and such systems must be carefully designed from the beginning, with input from as diverse a group of people as possible.

Published by House of Lords, Select Committee on Artificial Intelligence in AI Code, Apr 16, 2018

2. Continued attention and vigilance, as well as accountability, for the potential effects and consequences of, artificial intelligence systems should be ensured, in particular by:

a. promoting accountability of all relevant stakeholders to individuals, supervisory authorities and other third parties as appropriate, including through the realization of audit, continuous monitoring and impact assessment of artificial intelligence systems, and periodic review of oversight mechanisms; b. fostering collective and joint responsibility, involving the whole chain of actors and stakeholders, for example with the development of collaborative standards and the sharing of best practices, c. investing in awareness raising, education, research and training in order to ensure a good level of information on and understanding of artificial intelligence and its potential effects in society, and d. establishing demonstrable governance processes for all relevant actors, such as relying on trusted third parties or the setting up of independent ethics committees,

Published by 40th International Conference of Data Protection and Privacy Commissioners (ICDPPC) in Declaration On Ethics And Data Protection In Artifical Intelligence, Oct 23, 2018

(Conclusion)

Taking into consideration the principles above, the 40th International Conference of Data Protection and Privacy Commissioners calls for common governance principles on artificial intelligence to be established, fostering concerted international efforts in this field, in order to ensure that its development and use take place in accordance with ethics and human values, and respect human dignity. These common governance principles must be able to tackle the challenges raised by the rapid evolutions of artificial intelligence technologies, on the basis of a multi stakeholder approach in order to address all cross sectoral issues at stake. They must take place at an international level since the development of artificial intelligence is a trans border phenomenon and may affect all humanity. The Conference should be involved in this international effort, working with and supporting general and sectoral authorities in other fields such as competition, market and consumer regulation.

Published by 40th International Conference of Data Protection and Privacy Commissioners (ICDPPC) in Declaration On Ethics And Data Protection In Artifical Intelligence, Oct 23, 2018

5. Principle of security

Developers should pay attention to the security of AI systems. [Comment] In addition to respecting international guidelines on security such as “OECD Guidelines for the Security of Information Systems and Networks,” it is encouraged that developers pay attention to the followings, with consideration of the possibility that AI systems might change their outputs or programs as a result of learning or other methods: ● To pay attention, as necessary, to the reliability (that is, whether the operations are performed as intended and not steered by unauthorized third parties) and robustness (that is, tolerance to physical attacks and accidents) of AI systems, in addition to: (a) confidentiality; (b) integrity; and (c) availability of information that are usually required for ensuring the information security of AI systems. ● 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. ● To make efforts to take measures to maintain the security to the extent possible in light of the characteristics of the technologies to be adopted throughout the process of the development of AI systems (“security by design”).

Published by Ministry of Internal Affairs and Communications (MIC), the Government of Japan in AI R&D Principles, Jul 28, 2017

6. Transparent regulation

The development of artificial intelligence should avoid the security risks caused by the technology black box, and it is necessary to ensure the unity of target functions and technologies through the establishment of reviewable, traceable, reputable regulatory mechanisms.

Published by Shanghai Advisory Committee of Experts on Artificial Intelligence Industry Security in Shanghai Initiative for the Safe Development of Artificial Intelligence, Aug 30, 2019