Governance

The governance of AI should observe the following principles:
Principle: Beijing AI Principles, May 25, 2019

Published by Beijing Academy of Artificial Intelligence (BAAI); Peking University; Tsinghua University; Institute of Automation, Chinese Academy of Sciences; Institute of Computing Technology, Chinese Academy of Sciences; Artifical Intelligence Industry Innovation Strategy Alliance (AITISA); etc.

Related Principles

Use

The use of AI should observe the following principles:

Published by Beijing Academy of Artificial Intelligence (BAAI); Peking University; Tsinghua University; Institute of Automation, Chinese Academy of Sciences; Institute of Computing Technology, Chinese Academy of Sciences; Artifical Intelligence Industry Innovation Strategy Alliance (AITISA); etc. in Beijing AI Principles, May 25, 2019

Multi stakeholder governance

The governance of AI for children should observe the following principles:

Published by Beijing Academy of Artificial Intelligence (BAAI), Peking University, Tsinghua University and the Chinese Academy of Sciences, together with enterprises that focus on AI development. in Artificial Intelligence for Children: Beijing Principles, Sep 14, 2020

8. Agile Governance

The governance of AI should respect the underlying principles of AI development. In promoting the innovative and healthy development of AI, high vigilance should be maintained in order to detect and resolve possible problems in a timely manner. The governance of AI should be adaptive and inclusive, constantly upgrading the intelligence level of the technologies, optimizing management mechanisms, and engaging with muti stakeholders to improve the governance institutions. The governance principles should be promoted throughout the entire lifecycle of AI products and services. Continuous research and foresight for the potential risks of higher level of AI in the future are required to ensure that AI will always be beneficial for human society.

Published by National Governance Committee for the New Generation Artificial Intelligence, China in Governance Principles for the New Generation Artificial Intelligence--Developing Responsible Artificial Intelligence, Jun 17, 2019

· 2. MECHANISM OF ACCESSION AND IMPLEMENTATION OF THE CODE

2.1 Voluntary Accession. Joining the Code is voluntary. By joining the Code, AI Actors agree to follow its recommendations. Joining and following the provisions of this Code may be taken into account when providing support measures or in interactions with an AI Actor or between AI Actors. 2.2 Ethics officers and or ethics commissions. To ensure the implementation of the provisions of this Code and the current legal norms when creating, applying and using an AIS, AI Actors appoint officers on AI ethics who are responsible for the implementation of the Code and who act as contacts for AI Actors on ethical issues involving AI. These officers can create collegial industry bodies in the form of internal ethics commissions in the field of AI to consider the most relevant or controversial issues in the field of AI ethics. AI Actors are encouraged to identify an AI ethics officer whenever possible upon accession to this Code or within two months from the date of accession to the Code. 2.3. Commission for the Implementation of the National Code in AI Ethics. In order to implement the Code, a commission for the implementation of the Code in the field of AI ethics (hereinafter referred to as the Commission) being established. The commission may have working bodies and groups consisting of representatives of the business community, science, government agencies and other stakeholders. The Commission considers the applications of AI Actors wishing to join the Code and follow its provisions; it also maintains a register of Code members. The activities of the Commission and the conduct of its secretariat are carried out by the Alliance for Artificial Intelligence association with the participation of other interested organizations. 2.4. Register of Code participants. To accede to this Code, the AI Actor sends a corresponding application to the Commission. The register of AI Actors who have joined the Code is maintained on a public website portal. 2.5. Development of methods and guidelines. For the implementation of the Code, it is recommended to develop methods, guidelines, checklists and other methodological materials to ensure the most effective observance of the provisions of the Code by the AI Actors 2.6. Code of Practice. For the timely exchange of best practices, the useful and safe application of AIS built on the basic principles of this Code, increasing the transparency of developers' activities, and maintaining healthy competition in the AIS market, AI Actors may create a set of best and or worst practices for solving emerging ethical issues in the AI life cycle, selected according to the criteria established by the professional community. Public access to this code of practice should be provided.

Published by AI Alliance Russia in Artificial Intelligence Code of Ethics, Oct 26, 2021

Principles for the Governance of AI

Published by The Future Society, Science, Law and Society (SLS) Initiative in Principles for the Governance of AI, Oct 3, 2017 (unconfirmed)