Oct 7, 2024
Cop N' Shop
Vaishnavi Pamulapati, Diego Sabajo, Andres Sepulveda Morales, Elsa Donnat, Paul Vautravers
Summary
This paper proposes the development of AI Police Agents (AIPAs) to monitor and regulate interactions in future digital marketplaces, addressing challenges posed by the rapid growth of AI-driven exchanges. Traditional security methods are insufficient to handle the scale and speed of these transactions, which can lead to non-compliance and malicious behavior. AIPAs, powered by large language models (LLMs), autonomously analyze vendor-user interactions, issuing warnings for suspicious activities and reporting findings to administrators. The authors demonstrated AIPA functionality through a simulated marketplace, where the agents flagged potentially fraudulent vendors and generated real-time security reports via a Discord bot.
Key benefits of AIPAs include their ability to operate at scale and their adaptability to various marketplace needs. However, the authors also acknowledge potential drawbacks, such as privacy concerns, the risk of mass surveillance, and the necessity of building trust in these systems. Future improvements could involve fine-tuning LLMs and establishing collaborative networks of AIPAs. The research emphasizes that as digital marketplaces evolve, the implementation of AIPAs could significantly enhance security and compliance, ultimately paving the way for safer, more reliable online transactions.
Cite this work:
@misc {
title={
Cop N' Shop
},
author={
Vaishnavi Pamulapati, Diego Sabajo, Andres Sepulveda Morales, Elsa Donnat, Paul Vautravers
},
date={
10/7/24
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}
