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Blinnikova, A. V., & Ying, D. K. (2020). Using Artificial Intelligence in Human Resource Management Processes. Vestnik Universiteta, No. 7, 14-21.
https://doi.org/10.26425/1816-4277-2020-7-14-21

has been cited by the following article:

• TITLE: Artificial Intelligence and Capital Solvency Ratios: Theoretical Foundations, Empirical Evidence, and Systemic Implications

  AUTHORS: Marcello Forcellini

  KEYWORDS: Artificial Intelligence, Capital Solvency Ratio, Systemic Risk, Regulatory Frameworks, Algorithmic Transparency

  JOURNAL NAME: Technology and Investment, Vol.16 No.4, October 13, 2025

  ABSTRACT: This paper investigates the interplay between artificial intelligence (AI) integration and capital solvency ratios within financial institutions, combining theoretical frameworks with empirical evidence to assess systemic implications. It explores how AI-driven decision-making and algorithmic trading influence capital adequacy, risk management, and market stability, highlighting potential feedback loops and regulatory challenges. The study underscores the necessity of harmonizing AI governance with prudential capital requirements to mitigate emerging systemic risks and enhance financial resilience in evolving market ecosystems.