Advancing Mitigation Strategies for AI-Driven Chatbots: Building Resilience Against Data Privacy Violations. A Follow-up Study
Year: 2024
Type: article
Abstract: This study extends prior research on mitigating AI data poisoning risks in banking chatbots, emphasizing the development of dynamic defense strategies and advanced mitigation frameworks. This research explores the evolving threat landscape by employing grounded theory methodology and insights from IT professionals and end-users, incorporating practical applications to enhance chatbot resilience. Key findings highlight the integration of real-time anomaly detection, enhanced encryption techniques, and ethical AI governance frameworks to safeguard sensitive data and maintain consumer trust. The recommendations empower banking institutions to adopt robust strategies, aligning technological advancements with compliance and ethical standards.
Author: John Giordani
Institution: University of Fairfax
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405943890