AI Guardian: Protecting seniors through intelligent financial monitoring
The article explores the development and implementation of AI-based systems designed to protect elderly individuals from financial fraud and exploitation. It examines the growing threat of elder-targeted financial crimes and presents multiple technological approaches to address these vulnerabilities. The article discusses AI-powered transaction monitoring systems that can detect unusual patterns, natural language processing techniques for identifying deceptive communications, predictive modeling for classifying emerging threats, and AI-assisted financial education tailored to seniors' needs. The article highlights how these technologies can significantly improve fraud detection while respecting elderly users' autonomy and dignity. Various implementation metrics demonstrate the effectiveness of these systems across different dimensions, including user satisfaction, technology adoption, transparency, and multi-stakeholder collaboration. The article concludes by addressing ethical considerations and future directions for research and policy development in this rapidly evolving field.
Institutions
- Infotech Soft (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-31
- DOI
- https://doi.org/10.5281/zenodo.17347156
- Primary Topic
- Elder Abuse and Neglect
- Type
- article
- Field-Weighted Citation Impact
- 0.00