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The article formalizes theoretical and methodological foundations of the use of parametric artificial intelligence technologies to ensure the security of sustainable society development. An algorithm for using an artificial neuron to describe a model of social development is proposed. Optimization of the processes of using neural networks in creating an expert system for forecasting safe social development is conducted.

AbstractThe possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of “bottlenecks” in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.

Remote and hybrid working models and accelerated digitalization of the human resources processes were introduced in most organizations worldwide as a consequence of the COVD-19 pandemic. This digital revolution at the workplace was forced by extraordinary circumstances, thus its impact had not been anticipated before. This motivated the authors to study the new work reality. The research was based on a hypothesis that the digitalization of work and the human resources processes, approaches organizations to the sustainable development ideal. Sustainability is here understood as maintaining a balance between economic, environmental, and social factors. The authors analyzed the impact between the digital processes and the way of working on the following areas: CO2 emissions, creating plastic waste, saving energy, creating a gender-diverse and inclusive workplace. To verify the hypothesis, the authors used their own original and desk research. The original research was conducted within a Berlin-based tech startup between March 2020 and August 2021. Additionally, the authors ran surveys among international startups and scale-ups. Based on their findings the authors concluded that there can be a positive correlation between digitalization and increased organizational sustainability. This result is significant not only for the human resources specialists but can indicate a direction for a general business strategy.

Blockchain technology remains popular for several reasons. The main one is that it has facilitated the rise of digital currencies over the past several years and many other uses of non-crypto currency. There is a belief that the technology itself could far exceed cryptocurrencies by its impact. Thus, researchers are still discovering the real potential of blockchain. This study aims to conduct a comprehensive blockchain analysis with a bibliometric study. The data was retrieved from the Scopus database and was analyzed using the VOSviewer software, developed at Leiden University’s Centre for Science and Technology Studies (CWTS), Leiden University, the Netherlands. The study is based on the analysis of 1842 documents published in the 2007–2021 period using Scopus. From the visualization, three main groups of six clusters are generated. The red area includes topics related to blockchain technology, supply chain management, and sustainable development. The green cluster stands for such keywords as blockchains, smart contracts, electronic money, and Bitcoin and Ethereum. The blue cluster area focuses on issues related to artificial intelligence, big data, health care, and COVID-19. The analysis helps to improve the quality of the review by directing researchers to the most significant documents and mapping areas of publications.