AI Economics: Data Poisoning — Economic Impact and Prevention
Abstract
Data poisoning represents one of the most insidious and economically devastating threats to enterprise AI systems. This article provides a comprehensive economic analysis of data poisoning attacks, examining the full cost spectrum from direct remediation expenses to long-term strategic impacts, with a framework for quantifying risks and calculating optimal prevention investments.
Fields of Study & Subjects
Adversarial Robustness in Machine Learning
Information and Cyber Security
Impact of AI and Big Data on Business and Society
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 February 2026
- Language
- EN
- Document type
- Preprint