ADVANTAGES AND ETHICAL CONSIDERATIONS OF INDUSTRIAL IOT ARTIFICIAL INTELLIGENCE SOLUTIONS USAGE

Authors

Keywords
IIoT, AIoT, Industrial AI, AIoT Risks and Ethics

Abstract
The objective of this paper is to research the synergistic interaction between Industrial Internet of Things (IIoT) and the application of Artificial Intelligence (AI) in IIoT ecosystems (AIoT). For achieving this purpose, a method of integrative study of leading scientific publications on the topics ‘Industrial Internet of Things’ and ‘Artificial Internet of Things’ and the PRIZMA flow chart for filtering the list of found documents are applied. The inability of full coverage of the AIoT topic in one article has necessitated the usage of an approach for its content analysis in several thematic groups. The IIoT and AIoT concepts has been explored by various theoretical and practical aspects in many scientific papers published mainly over the past five years, but continues to arouse the interest of researchers. The novelty of the manuscript could be viewed in the attempts of systematizing the key characteristics, advantages, and risks in the practical use of these technologies in the form of smart manufacturing machines, robotic devices, autonomous vehicles, and software for predictive maintenance, and in outlining the possibility for green and sustainable AIoT platforms creation. It is concluded that a key requirement for the implementation of AIoT solutions is the consideration of the various threats and ethical aspects of their design, which contributes to the correct definition of the ‘social value’ of such business initiatives.

JEL: C88, L86, Q55.
Pages: 16

To view the full text of the article click on the relevant button below.

More titles

  • METADATA MANAGEMENT FRAMEWORK FOR BUSINESS INTELLIGENCE DRIVEN DATA LAKES

    Data lakes (DL) provide powerful capabilities for processing and utilizing large and diverse data, helping organizations adapt to the modern environment and extract maximum value from the information at their disposal. Effective data analysis provides actionable knowledge which is a competitive advantage for organizations. Metadata management in ...

  • MEASURES TO BALANCE THE LABOUR MARKET: AN INSTITUTIONAL PARTNERSHIP BETWEEN BUSINESS AND THE VOCATIONAL TRAINING SYSTEM

    The study aims to identify imbalances, obstacles and opportunities for realizing the capacity of institutional partnership between employers and vocational education institutions (the case of Lviv region in Ukraine) to balance the labour market. The study is based on the general scientific methods of research – analysis, synthesis, logical ...

  • DRIVING PROFITABILITY THROUGH SOCIAL RESPONSIBILITY: UNVEILING THE SUCCESS STORY OF AUTOMOTIVE PLANT STELLANTIS SLOVAKIA

    This study examines the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP) in Slovakia's unique context of the Stellantis automobile plant. Driven by the growing focus on mitigating business impacts and delivering value to stakeholders, the research explores CSR as a strategic tool to enhance ...