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

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
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article

AI Guardian: Protecting seniors through intelligent financial monitoring

Zenodo (CERN European Organization for Nuclear Research)
Elder Abuse and Neglect
article

AI Guardian: Protecting seniors through intelligent financial monitoring

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Infotech Soft (United States) (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 28%
Elder Abuse and Neglect
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