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

· 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.

Principle: Artificial Intelligence Code of Ethics, Oct 26, 2021

Published by AI Alliance Russia

Related Principles

· (7) Innovation

To realize Society 5.0 and continuous innovation in which people evolve along with AI, it is necessary to account for national, industry academia, and public private borders, race, sex, nationality, age, political and religious beliefs, etc. Beyond these boundaries, through a Global perspective we must promote diversification and cooperation between industry academia public private sectors, through the development of human capabilities and technology. To encourage mutual collaboration and partnership between universities, research institutions and private sectors, and the flexible movement of talent. To implement AI efficiently and securely in society, methods for confirming the quality and reliability of AI and for efficient collection and maintenance of data utilized in AI must be promoted. Additionally, the establishment of AI engineering should also be promoted. This engineering includes methods for the development, testing and operation of AI. To ensure the sound development of AI technology, it is necessary to establish an accessible platform in which data from all fields can be mutually utilized across borders with no monopolies, while ensuring privacy and security. In addition, research and development environments should be created in which computer resources and highspeed networks are shared and utilized, to promote international collaboration and accelerate AI research. To promote implementation of AI technology, governments must promote regulatory reform to reduce impeding factors in AI related fields.

Published by Cabinet Office, Government of Japan in Social Principles of Human-centric AI, Dec 27, 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

· 6. IMPORTANCE OF MAXIMUM TRANSPARENCY AND TRUTHFULNESS IN INFORMATION ON THE LEVEL OF DEVELOPMENT, CAPABILITIES AND RISKS OF AI TECHNOLOGIES

6.1. Credibility of information about AIS. AI Actors are encouraged to provide AIS users with credible information about the AIS, acceptable and most effective methods of using the AIS and the harm, benefits, and existing limitations of their use. 6.2. Raising awareness of the ethics of AI application AI Actors are encouraged to carry out activities aimed at increasing the level of trust and awareness of citizens who use AISs and society in general. This should include increasing awareness of the technologies being developed, the features of the ethical use of AISs and other provisions accompanying the development of AIS. This promotion could include the development of journal articles, the organization of scientific and public conferences and seminars, and the inclusion of rules of ethical behavior for users and operators in the rules of the AIS.

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

· 5. INTERESTS OF AI TECHNOLOGIES DEVELOPMENT OUTWEIGH THE INTERESTS OF COMPETITION

5.1. Accuracy of AI systems comparisons. In order to maintain fair competition and effective cooperation of developers, AI Actors are encouraged to use the most reliable and comparable information about the capabilities of AI systems with regards to a certain task and ensure the uniformity of measurement methodologies when comparing AI systems with one another. 5.2. Development of competencies. AI Actors are encouraged to follow practices adopted in the professional community, maintain a proper level of professional competence required for safe and effective work with AI systems and promote the improvement of professional competence of experts in the field of AI, i.a. within programs and educational disciplines on AI ethics. 5.3. Cooperation of developers. AI Actors are encouraged to cooperate within their community and among developers in particular, i.a. through informing each other about the identification of critical vulnerabilities in order to prevent them from spreading, and make efforts to improve the quality and availability of resources in the field of AI systems development, i.a. by: • increasing the availability of data (including marked up data), • ensuring the compatibility of the developed AI systems where applicable; • creating conditions for the formation of a international school of AI technologies development, including publicly available repositories of libraries and network models, available development tools, open international frameworks, etc.; • sharing information about the best practices of AI technologies development; • organizing and hosting conferences, hackathons and public competitions, as well as high school and student Olympiads, or participating in them; • increasing the availability of knowledge and encouraging the use of open knowledge databases; • creating conditions for attracting investments in AI technologies development from private investors, business angels, venture funds and private equity funds; • stimulating scientific, educational and awareness raising activities in the field of AI by participating in the projects and activities of leading research centers and educational organizations.

Published by AI Alliance Russia in AI Ethics Code (revised version), Oct 21, 2022 (unconfirmed)

· 6. MAXIMUM TRANSPARENCY AND RELIABILITY OF INFORMATION CONCERNING THE LEVEL OF AI TECHNOLOGIES DEVELOPMENT, THEIR CAPABILITIES AND RISKS ARE CRUCIAL

6.1. Reliability of information about AI systems. AI Actors are encouraged to provide AI systems users with reliable information about the AI systems and most effective methods of their use, harms, benefits acceptable areas and existing limitations of their use. 6.2. Awareness raising in the field of ethical AI application. AI Actors are encouraged to carry out activities aimed at increasing the level of trust and awareness of the citizens who use AI systems and the society at large, in the field of technologies being developed, the specifics of ethical use of AI systems and other issues related to AI systems development by all available means, i.a. by working on scientific and journalistic publications, organizing scientific and public conferences or seminars, as well as by adding the provisions about ethical behavior to the rules of AI systems operation for users and (or) operators, etc.

Published by AI Alliance Russia in AI Ethics Code (revised version), Oct 21, 2022 (unconfirmed)