To ensure fairness and non discrimination, AI Actors should take measures to verify that the algorithms, datasets and processing methods for machine learning that are used to group and or classify data that concern individuals or groups do not entail intentional discrimination.

Making decisions in the field of AI use that significantly affect society and the state should be accompanied by a scientifically verified, interdisciplinary forecast of socio economic consequences and risks and examination of possible changes in the paradigm of value and cultural development of the society.

on privacy, ethical, safe and responsible use of personal data;

Any use, including the design, development, testing, integration or operation of an AI system capable of purposefully causing harm to the environment, human life and or health, the property of citizens and legal entities, is prohibited.

AI Actors are encouraged to cooperate in identifying and verifying information about ways and forms of design of so called universal ("general") AI systems and prevention of possible threats they carry.

AI Actors should encourage and incentivize design, integration and development of safe and ethical solutions in the field of AI technologies.

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.

• 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;

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.