The main goal of the study will be to pay attention to awareness of technological and digital development. Sense of responsibility unites certain groups of entrepreneurs, scientists and decision-makers. The main principles of the idea of corporate social responsibility are related to maintaining balance in business activity between three kinds of capital - economic, human and natural. Following the technological and digital development in recent years, more attention is given to socially responsible creation and implementation of innovation. Corporate Digital Responsibility (CDR), which in recent months has been taking formal shape, is a new initiative within social responsibility. CDR means the awareness of duties binding the organisations active in the field of technological development and using technologies to provide services. The article refers to the dynamic development of technologies that threatens also global labour market due to automation and mass implementation of solutions based on artificial intelligence. Being aware of this dynamic process it is worth to emphasise that businesses and employees have far less time to thoroughly examine social consequences of ongoing implementations related to digitalisation.
In this article is drawn attention to the social aspects of improving the quality of production. The relationship between the development of technology and society is still underappreciated. There is a vital need to make technical managers aware of the rules governing interpersonal relationships. This theoretical article aims to bring the basic concepts of social sciences closer to recipients focused on constant improvement of the production quality. The essence of the work process is primarily the fact that it is done by a human being and mostly in a group of people. This is related to the consequences of sociological nature to which managers do not pay enough attention. Instead of focusing on social and interpersonal problems they are dealing with organizational issues. The conclusion of consideration leads to underlining the need for constant improvement - manager training in social engineering principles.
Ongoing progress in the introduction of new technologies, rapid social adaptation to the fourth industrial revolution, implementation of new solutions related to information and communication become incentives to conduct interdisciplinary scientific analyses. The following paper is a review article and the presented analysis to a large extent is based on theoretical considerations referring to studies of other authors. Presenting the sources of this notion in the context of industry 4.0 and sustainable development is a foundation for possible further experimental research. However, the primary aim of this article is to demonstrate the sources of scientific interest in artificial intelligence, directions of research on this notion and potential sociological research areas related to AI. Another goal of this article is to indicate the implications that can be used in planned research projects. The scope of the analysis is largely based on the study of literature.
The main goal of the study will be to pay attention to technologization of the learning process and its social dimensions in the context of artificial intelligence. The reflection will mainly cover selected theories of learning and knowledge management in the organization and its broadly understood environment. Considering the sociological dimensions of these phenomena is supposed to lead to the emphasis on the importance of the security of the human-organization-device relationship. Due to the interdisciplinary nature of the issue, the article will include references to the concept of artificial intelligence and machine learning. Difficult questions will arise around the ideas and will become the conclusion of the considerations.