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arXiv · 2408.10417

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

Matthew Tassava·Cameron Kolodjski·Jordan Milbrath·Adorah Bishop·Nathan Flanders·Robbie Fetsch·Danielle Hanson·Jeremy Straub
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Abstract

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.

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Matthew Tassava, Cameron Kolodjski, Jordan Milbrath, Adorah Bishop, Nathan Flanders, Robbie Fetsch, Danielle Hanson, Jeremy Straub. 2024-08-19. Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detection. https://arxiv.org/abs/2408.10417

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