Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detection

Autor: Tassava, Matthew, Kolodjski, Cameron, Milbrath, Jordan, Bishop, Adorah, Flanders, Nathan, Fetsch, Robbie, Hanson, Danielle, Straub, Jeremy
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: This paper presents and evaluates work on the development of an artificial intelligence (AI) anti-bullying system. The system is designed to identify coordinated bullying attacks via social media and other mechanisms, characterize them and propose remediation and response activities to them. In particular, a large language model (LLM) is used to populate an enhanced expert system-based network model of a bullying attack. This facilitates analysis and remediation activity - such as generating report messages to social media companies - determination. The system is described and the efficacy of the LLM for populating the model is analyzed herein.
Databáze: arXiv