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

c)Internet governance:

It promotes the development and application of principles, standards, rules, decision making procedures andprograms that determine the evolution and useof the Internet by the State,institutions from the private sector and civil society participatingfrom their respective roles.

Principle: Principles for the Development of Use of Artificial Intelligence, July 5, 2023

Published by THE PRESIDENT OF THE REPUBLIC and THE CONGRESS OF THE REPUBLIC

Related Principles

· 1. Foundation of the code action

1.1. Legal basis of the Code. The Code takes into account the legislation of the Russian Federation,the Constitution of the Russian Federation and other regulatory legal acts and strategic planning documents. These include the National Strategy for the Development of Artificial Intelligence, the National Security Strategy of the Russian Federation and the Concept for the Regulation of Artificial Intelligence and Robotics. The Code also considers international treaties and agreements ratified by the Russian Federation applicable to issues ensuring the rights and freedoms of citizens in the context of the use of information technologies. 1.2. Terminology. Terms and definitions in this Code are defined in accordance with applicable regulatory legal acts, strategic planning documents and technical regulation in the field of AI. 1.3. AI Actors. For the purposes of this Code, AI Actors is defined as persons, including foreign ones, participating in the life cycle of an AIS during its implementation in the territory of the Russian Federation or in relation to persons who are in the territory of the Russian Federation, including those involved in the provision of goods and services. Such persons include, but are not limited to, the following: developers who create, train, or test AI models systems and develop or implement such models systems, software and or hardware systems and take responsibility for their design; customers (individuals or organizations) receiving a product; or a service; data providers and persons involved in the formation of datasets for their use in AISs; experts who measure and or evaluate the parameters of the developed models systems; manufacturers engaged in the production of AIS; AIS operators who legally own the relevant systems, use them for their intended purpose and directly implement the solution to the problems that arise from using AIS; operators (individuals or organizations) carrying out the work of the AIS; persons with a regulatory impact in the field of AI, including the developers of regulatory and technical documents, manuals, various regulations, requirements, and standards in the field of AI; and other persons whose actions can affect the results of the actions of an AIS or persons who make decisions on the use of AIS.

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.

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

· 2. ACCESSION MECHANISM AND IMPLEMENTATION OF THE CODE

2.1 Voluntary Accession. Joining the Code is voluntary. By joining the Code, AI Actors voluntarily agree to follow its recommendations. Joining and following the provisions of this Code may be taken into account in case of support measures provision or in other interactions with an AI Actor or between AI Actors. 2.2 Ethics officers and or Ethics commissions. In order to ensure the implementation of the Code provisions and existing legal norms when creating, applying and using AI systems, AI Actors appoint officers on AI ethics who are responsible for the implementation of the Code and act as contact persons on AI ethics of the AI Actor, and or can create collegial sectorial bodies, namely, internal Ethics commissions in the field of AI, to consider the most relevant or controversial issues of AI ethics. AI Actors are encouraged to appoint an AI ethics officer preferably upon accession to this Code, or, alternatively, within two months since the date of accession to the Code. 2.3. Commission for AI Ethics Code. A Commission for AI Ethics Code (hereinafter referred to as the Commission) is established in order to fulfill the Code. The Commission may have working bodies and groups consisting of the representatives of the business community, science, government agencies and other interested organizations. The Commission considers applications made by AI Actors willing to join the Code, and maintains the Register of AI Actors who joined the Code. The functioning of the Commission and its secretariat is administered by the ________________ with the participation of other interested organizations. 2.4. Register of the Code participants. An AI Actor shall send a corresponding application to the Commission to join this Code. The Register of AI Actors who joined the Code is administered on a public website portal. 2.5. Development of methods and guidelines. It is encouraged for the implementation of the Code to develop methods, guidelines, checklists and other methodological materials that ensure more effective compliance with the provisions of the Code by AI Actors. 2.6. Set of Practices. In order to ensure timely exchange of best practices of useful and safe AI systems application built on the basic principles of this Code, increase the transparency of developers' activities and maintain healthy and fair competition on the AI systems market, AI Actors can create a set of best and or worst practical examples of how to solve emerging ethical issues in the AI life cycle and selected according to the criteria established by the professional community. Public access to this set of practices should be provided.

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

(Preamble)

New developments in Artificial Intelligence are transforming the world, from science and industry to government administration and finance. The rise of AI decision making also implicates fundamental rights of fairness, accountability, and transparency. Modern data analysis produces significant outcomes that have real life consequences for people in employment, housing, credit, commerce, and criminal sentencing. Many of these techniques are entirely opaque, leaving individuals unaware whether the decisions were accurate, fair, or even about them. We propose these Universal Guidelines to inform and improve the design and use of AI. The Guidelines are intended to maximize the benefits of AI, to minimize the risk, and to ensure the protection of human rights. These Guidelines should be incorporated into ethical standards, adopted in national law and international agreements, and built into the design of systems. We state clearly that the primary responsibility for AI systems must reside with those institutions that fund, develop, and deploy these systems.

Published by The Public Voice coalition, established by Electronic Privacy Information Center (EPIC) in Universal Guidelines for Artificial Intelligence, Oct 23, 2018

· Multi stakeholder and adaptive governance and collaboration

46. International law and national sovereignty must be respected in the use of data. That means that States, complying with international law, can regulate the data generated within or passing through their territories, and take measures towards effective regulation of data, including data protection, based on respect for the right to privacy in accordance with international law and other human rights norms and standards. 47. Participation of different stakeholders throughout the AI system life cycle is necessary for inclusive approaches to AI governance, enabling the benefits to be shared by all, and to contribute to sustainable development. Stakeholders include but are not limited to governments, intergovernmental organizations, the technical community, civil society, researchers and academia, media, education, policy makers, private sector companies, human rights institutions and equality bodies, anti discrimination monitoring bodies, and groups for youth and children. The adoption of open standards and interoperability to facilitate collaboration should be in place. Measures should be adopted to take into account shifts in technologies, the emergence of new groups of stakeholders, and to allow for meaningful participation by marginalized groups, communities and individuals and, where relevant, in the case of Indigenous Peoples, respect for the self governance of their data.

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO) in The Recommendation on the Ethics of Artificial Intelligence, Nov 24, 2021