D 2024

Enhancing Fraud Prevention Through AI and Demographic Insights

MOZDŘEŇ, Karel and Petr SUCHÁNEK

Basic information

Original name

Enhancing Fraud Prevention Through AI and Demographic Insights

Authors

MOZDŘEŇ, Karel and Petr SUCHÁNEK

Edition

Bánská Bystrica, Scientia Iuventa 2024, p. 145-153, 9 pp. 2024

Publisher

Belianum. Matej Bel University Press

Other information

Language

English

Type of outcome

Proceedings paper

Country of publisher

Slovakia

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

References:

URL

Organization

Obchodně podnikatelská fakulta v Karviné – Slezská univerzita v Opavě – Repository

ISBN

978-80-557-2210-8

DOI

http://dx.doi.org/10.24040/2024.9788055722108

Keywords in English

Artificial Intelligence; Fraud Prevention; Risk Management; Demographic Analysis; Cybersecurity
Changed: 21/3/2025 00:51, Bc. Ivana Glabazňová

Abstract

V originále

The digital age has seen a significant rise in financial fraud, introducing complex challenges that affect diverse demographic groups in varying degrees. This study proposes using Artificial Intelligence (AI) for risk management with a focus on cybersecurity and fraud prevention. It suggests that understanding the socio-demographic and psychological profiles of potential fraud victims is crucial for developing AI tools that can provide tailored fraud protection measures.
Displayed: 16/6/2025 14:05