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Torres, A., Wenke, M., Lieneck, C., Ramamonjiarivelo, Z., & Ari, A. (2024). A Systematic Review of Artificial Intelligence Used to Predict Loneliness, Social Isolation, and Drug Use during the COVID-19 Pandemic. Journal of Multidisciplinary Healthcare, 17, 3403-3425.
https://doi.org/10.2147/jmdh.s466099

has been cited by the following article:

• TITLE: AI in Social Trading: Systemic Risks Calling for Next-Generation Regulation

  AUTHORS: Marcello Forcellini, Gianfranco Antonio Vento, Eva Gracikova

  KEYWORDS: Artificial Intelligence, Social Trading, Systemic Risk, Algorithmic Transparency, Financial Regulation

  JOURNAL NAME: Technology and Investment, Vol.17 No.1, December 17, 2025

  ABSTRACT: This paper explores the systemic risks posed by the integration of artificial intelligence (AI) in social trading, emphasizing the urgent need for next-generation regulatory frameworks. While AI enhances decision-making speed, market efficiency, and accessibility, it also introduces challenges such as algorithmic opacity, market manipulation, and amplified systemic vulnerabilities. The study highlights the dual-edged nature of AI-driven social trading platforms and calls for comprehensive, adaptive regulation that balances innovation with financial stability and consumer protection in an increasingly interconnected financial ecosystem.