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

Seeking Ground Rules for A.I.: The Recommendations

Principle: Seeking Ground Rules for A.I.: The Recommendations, Mar 1, 2019

Published by New Work Summit, hosted by The New York Times

Related Principles

Transparency Principle

The elements of the Transparency Principle can be found in several modern privacy laws, including the US Privacy Act, the EU Data Protection Directive, the GDPR, and the Council of Europe Convention 108. The aim of this principle is to enable independent accountability for automated decisions, with a primary emphasis on the right of the individual to know the basis of an adverse determination. In practical terms, it may not be possible for an individual to interpret the basis of a particular decision, but this does not obviate the need to ensure that such an explanation is possible.

Published by Center for AI and Digital Policy in Universal Guidelines for AI, Oct, 2018

· 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)

1. Right to Transparency.

All individuals have the right to know the basis of an AI decision that concerns them. This includes access to the factors, the logic, and techniques that produced the outcome. [Explanatory Memorandum] The elements of the Transparency Principle can be found in several modern privacy laws, including the US Privacy Act, the EU Data Protection Directive, the GDPR, and the Council of Europe Convention 108. The aim of this principle is to enable independent accountability for automated decisions, with a primary emphasis on the right of the individual to know the basis of an adverse determination. In practical terms, it may not be possible for an individual to interpret the basis of a particular decision, but this does not obviate the need to ensure that such an explanation is possible.

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