Integration of artificial intelligence technologies into corporate governance: challenges and prospects

the article is devoted to the analysis of the integration of artificial intelligence (AI) technologies into corporate governance, identifying the prospects and challenges associated with this process. Theoretical foundations are considered, including the concepts of data-centric management and industry 5.0, as well as practical examples of AI applications in the oil and gas, legal and HR fields. Particular attention is paid to technological, organizational, ethical, and regulatory risks, including a lack of quality data, resistance to change, algorithmic bias, and a lack of unified standards. Based on the analysis, recommendations are proposed for the phased implementation of AI, including digital maturity audits, the development of ethical codes, staff training, and performance monitoring. The article emphasizes that the success of AI integration depends on a balance between technological innovation and the human factor, which allows companies to achieve sustainable development and competitive advantages in an era of global challenges.

artificial intelligence, corporate governance, digital transformation, industry 5.0, predictive analytics, challenges, import substitution, sustainable development