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October 8, 2025Lex localis - Journal of Local Self-GovernmentOpen Access

Artificial Intelligence in Financial Risk Management: Predictive Analytics and Ethical Concerns

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Authors

V.Vikas Bhargaw .SKShahper N. KhanSJShubhi Jain

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Overview

This analysis finds that AI-driven predictive analytics improves risk management while highlighting ethical concerns in finance.

Key Points

  • AI enhances financial risk management by enabling proactive identification and mitigation of risks, transforming traditional approaches.
  • The analysis uncovers that machine learning and natural language processing enhance predictive accuracy and streamline processes for better decision-making.
  • AI applications in credit scoring and fraud detection reduce false positives and leverage alternative data sources to support financial inclusion.
  • Addressing algorithmic bias and data privacy is crucial for maintaining fairness and regulatory compliance in AI-driven financial systems.

Cite This Study

. et al. (2025) studied this question.

synapsesocial.com/papers/68e62de1a8c0c6d4587400b9https://doi.org/10.52152/e3jhjp44
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Also Consider

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  4. 4Artificial intelligence-based risk management for the banking sector: impact and challenges2025
  5. 5Artificial Intelligence In Financial Decision Systems: Transforming Risk Assessment And Investment Practices In The Era Of Digital Scientific Culture2025