The growing capabilities and appeal of artificial intelligence are increasing the impact on society as a whole, and this impact will only grow in the near future. This will have (or already has) an impact in many areas such as transportation, marketing, healthcare, finance, security, science, education, entertainment, agriculture and manufacturing sectors. The issue of legal regulation in the field of artificial intelligence includes various aspects. There are questions about the challenges of controlling this area and, more generally, its unpredictability. In terms of legal regulation, it is important to maintain a balance between the strict legal definition, limits and responsibilities of certain institutions, and the provision of trust, progress and a certain degree of self-regulation. One of the most important issues is ethics in the use of artificial intelligence. There is a lot of discussion raising question what legal measures could regulate this area. A possible way out of this problem is the establishment of regulation of different intensity, careful assessment of ex ante and ex post regulation, etc. A legalistic and technological approach to the regulation of algorithm transparency is distinguished. According to the legalistic approach, the question is raised whether the application of artificial intelligence and robots falls within the applicable legal rules. The most common areas are product safety (including cyber security) and liability, consumer protection, intellectual property, employment law, privacy, civil liability, criminal liability, legal entities, insurance, and tax law. The technological approach tries to understand whether artificial intelligence and robots are causing problems that deserve laws and regulations. The most common areas are transportation, service robots, healthcare, education, low-resource communities, public safety and security, employment and workplace, home service robots, and entertainment. In addition, the technological approach is more open to questions of robot ethics and ex ante legal design. On the other hand, none of these approaches is absolute and in practice, both approaches should be combined with each other. A major challenge in this regard is to ensure transparency, accountability, as well as to prevent hidden discrimination. The concept of a "good artificial intelligence society" could be based on the concept of human dignity as a lens through which to understand and create a model of what a good artificial intelligence society might look like. The approach to human dignity formulated in the main international documents related to the definition of human rights (the Universal Declaration of Human Rights, the EU Charter of Fundamental Rights, and partly the General Data Protection Regulation) provides a much-needed basis for a well-established ethical, legal, political and social concept that can help ensure tolerancy and respect for people (both individuals and groups), their culture. This value posture should play a central role in assessing and planning the future of an AI-driven world. Relying on human dignity as a central concept should make it easier to develop a comprehensive vision of how responsibility, cooperation and shared values can help create a "good AI society". In conclusion, many of the discussed countries with national strategies on AI goals and priorities are taking the initiative mandate that is needed due to the rapid progress in the field of artificial intelligence, so that the benefits of this field benefit the whole society. In doing so, many of the countries discussed aim to secure an excellent reputation as a place for scientific research, expand the competitiveness of the national economy, and promote various possibilities for the application of artificial intelligence in all areas of society through notable social progress and the representation of citizens' interests. It also aims to focus on benefits for people and the environment, through intensive exchanges with all social groups.