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СтаттяЗовнішня публікація

ETHICAL STANDARDS FOR ARTIFICIAL INTELLIGENCE IMPLEMENTATION AS A GUARANTEE OF SUSTAINABLE ENTERPRISE DEVELOPMENT

Anzhelika KulykORCIDKostiantyn ZavrazhnyiORCID

Анотація

Artificial intelligence (AI) technologies open wide opportunities for optimizing business processes and increasing the competitiveness of companies. However, at the same time, their implementation gives rise to ethical issues that require a systematic analysis and solution to ensure the sustainable development of enterprises. The main ethical challenges are questions of justice, responsibility, transparency of algorithms and data privacy. In addition, an important point is to regulate the interaction between AI and workers to avoid negative social consequences, such as massive job cuts and de-skilling of personnel. The relevance of the study is determined by the need to integrate ethical standards into the business strategy of enterprises using AI to ensure long-term sustainability and minimize risks associated with human rights violations and negative impact on society and the environment. Despite the growing interest of the scientific community in the ethical issues of the use of AI, there is an insufficient number of studies that consider the impact of these technologies on the sustainable development of companies. This paper conducts a systematic review of the scientific literature, based on data from the Scopus database, using bibliometric tools, particularly the VOSviewer software. The study showed that companies that adhere to ethical principles such as fairness, transparency and social responsibility contribute not only to their own sustainable development but also make a positive contribution to preserving the environment and increasing social welfare. The research findings point to the need to develop clear ethical standards and regulatory mechanisms to ensure the ethical, safe and fair use of AI in business. This will help to build long-term sustainable development strategies, increase public trust in technology, and reduce the risks of legal and reputational losses for businesses.

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