Implementation and Application of Artificial Intelligence in Selected Public Services

Abstract

The aim of this paper is to present examples of the implementation of artificial intelligence techniques in healthcare and social services and to briefly sketch the trends and challenges in the adoption of artificial intelligence techniques, with an emphasis on the public sector and selected public services, based on a realistic assessment of current artificial intelligence technologies and their anticipated development. Data-intensive technologies, such as artificial intelligence, imply huge opportunities for transforming the delivery of healthcare and social services, improving people’s quality of life, and working in the health and welfare system. With the benefits and potential opportunities for healthcare and social services, there are also challenges for governments, so these applications need to be thoroughly and carefully planned in these areas. Understanding the huge potential of artificial intelligence as well as its limitations will be a key step forward, but it is essential to avoid the trap of overestimating the potential of artificial intelligence. There is a need to solve the so-called soft issues related to fair and open access to data, responsibility for legal issues, security, privacy, ethics, etc. Some interesting examples of the implementation of artificial intelligence techniques in healthcare and social services around the world were analysed, discussed and presented. Public sector practitioners need to be increasingly aware of the need for cooperation and exchange of information with artificial intelligence experts. It will not be possible without them in the future. Published studies or publicly available experience focused on selected public services. That is why a more indepth literature review focused on the healthcare and social services.