Download PDFOpen PDF in browser

Open AI and Its Impact on Fraud Detection in Financial Industry

EasyChair Preprint no. 11689

19 pagesDate: January 4, 2024


As per the Nilson report, fraudulent activities targeting cards amounted to a loss of $32.34 billion globally in 2021, a 14 % increase
from the previous year. Such practices can be combated by harnessing OpenAI’s powerful machine learning and automation
capabilities. Such advanced technologies help financial companies avoid any potential fraud and protect their esteemed clients'
interests. Through the adoption and utilization of such innovative technologies., financial institutions will be better placed to protect
their customers and entities from financial losses. Digital fraudsters are skilful in identifying loopholes and have developed cunning
techniques like phishing for unsuspecting victims and wittingly swindling money off them. They are also updated in using OpenAI
to develop deceitful information to scam people. This has seen the emergence of names like WormGPT and FraudGPT, reliant on
generative AI models used by tech corporations with fraud intents. As a result, fraud detection techniques have to evolve with time
as fraudsters progressively devise new techniques that bypass old and rigid banking security protocols and learn how to convince
unsuspecting individuals to dispatch their money to them.

Keyphrases: Fintech, fraud, machine learning, OpenAI

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Sina Ahmadi},
  title = {Open AI and Its Impact on Fraud Detection in Financial Industry},
  howpublished = {EasyChair Preprint no. 11689},

  year = {EasyChair, 2024}}
Download PDFOpen PDF in browser