Safe and Ethical AI (SEA) Platform Network · Linking Artificial Intelligence Principles (LAIP)

Sixth, the principle of cooperation.

Countries around the world should promote the exchanges of AI technologies and talents, in an effort to promote and regulate upgrading of AI technologies within an open environment. These principles can serve as the basis for the discussion and formulation of international rules on AI.

Principle: Six AI Principles proposed by Mme Fu Ying, Jan 23, 2019

Published by Center for International Strategy and Security, Tsinghua University (Tsinghua CISS)

Related Principles

(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

• Foster Innovation and Open Development

To better understand the impact of AI and explore the broad diversity of AI implementations, public policy should encourage investment in AI R&D. Governments should support the controlled testing of AI systems to help industry, academia, and other stakeholders improve the technology. [Recommendations] • Fuel AI innovation: Public policy should promote investment, make available funds for R&D, and address barriers to AI development and adoption. • Address global societal challenges: AI powered flagship initiatives should be funded to find solutions to the world’s greatest challenges such as curing cancer, ensuring food security, controlling climate change, and achieving inclusive economic growth. • Allow for experimentation: Governments should create the conditions necessary for the controlled testing and experimentation of AI in the real world, such as designating self driving test sites in cities. • Prepare a workforce for AI: Governments should create incentives for students to pursue courses of study that will allow them to create the next generation of AI. • Lead by example: Governments should lead the way on demonstrating the applications of AI in its interactions with citizens and invest sufficiently in infrastructure to support and deliver AI based services. • Partnering for AI: Governments should partner with industry, academia, and other stakeholders for the promotion of AI and debate ways to maximize its benefits for the economy.

Published by Intel in AI public policy principles, Oct 18, 2017

Chapter 2. The Norms of Management

　　5. Promotion of agile governance. Respect the law of development of AI, fully understand the potential and limitations of AI, continue to optimize the governance mechanisms and methods of AI. Do not divorce from reality, do not rush for quick success and instant benefits in the process of strategic decision making, institution construction, and resource allocation. Promote the healthy and sustainable development of AI in an orderly manner. 　　6. Active practice. Comply with AI related laws, regulations, policies and standards, actively integrate AI ethics into the entire management process, take the lead in becoming practitioners and promoters of AI ethics and governance, summarize and promote AI governance experiences in a timely manner, and actively respond to the society’s concerns on the ethics of AI. 　　7. Exercise and use power correctly. Clarify the responsibilities and power boundaries of AI related management activities, and standardize the conditions and procedures of power operations. Fully respect and protect the privacy, freedom, dignity, safety and other rights of relevant stakeholders and other legal rights and interests, and prohibit improper use of power to infringe the legal rights of natural persons, legal persons and other organizations. 　　8. Strengthen risk preventions. Enhance bottom line thinking and risk awareness, strengthen the research and judgment on the potential risks during the development of AI, carry out systematic risk monitoring and evaluations in a timely manner, establish an effective early warning mechanism for risks, and enhance the ability of manage, control, and disposal of ethical risks of AI. 　　9. Promote inclusivity and openness. Pay full attention to the rights and demands of all stakeholders related to AI, encourage the application of diverse AI technologies to solve practical problems in economic and social development, encourage cross disciplinary, cross domain, cross regional, and cross border exchanges and cooperation, and promote the formation of AI governance frameworks, standards and norms with broad consensus.

Published by National Governance Committee for the New Generation Artificial Intelligence, China in Ethical Norms for the New Generation Artificial Intelligence, Sep 25, 2021

· 5. INTERESTS OF DEVELOPING AI TECHNOLOGIES ABOVE THE INTERESTS OF COMPETITION

5.1. Correctness of AIS comparisons. To maintain the fair competition and effective cooperation of developers, AI Actors should use the most reliable and comparable information about the capabilities of AISs in relation to a task and ensure the uniformity of the measurement methodologies. 5.2. Development of competencies. AI Actors are encouraged to follow practices adopted by the professional community, to maintain the proper level of professional competence necessary for safe and effective work with AIS and to promote the improvement of the professional competence of workers in the field of AI, including within the framework of programs and educational disciplines on AI ethics. 5.3. Collaboration of developers. AI Actors are encouraged to develop cooperation within the AI Actor community, particularly between developers, including by informing each other of the identification of critical vulnerabilities in order to prevent their wide distribution. They should also make efforts to improve the quality and availability of resources in the field of AIS development, including by increasing the availability of data (including labeled data), ensuring the compatibility of the developed AIS where applicable and creating conditions for the formation of a national school for the development of AI technologies that includes publicly available national repositories of libraries and network models, available national development tools, open national frameworks, etc. They are also encouraged to share information on the best practices in the development of AI technologies and organize and hold conferences, hackathons and public competitions, as well as high school and student Olympiads. They should increase the availability of knowledge and encourage the use of open knowledge databases, creating conditions for attracting investments in the development of AI technologies from Russian private investors, business angels, venture funds and private equity funds while stimulating scientific and educational activities in the field of AI by participating in the projects and activities of leading Russian research centers and educational organizations.

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

· 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.