AI-Powered Tools for Identifying and Preventing Hate Speech
Keywords:
AI, hate speech, content moderation, natural language processing, machine learning, ethical AI.Abstract
Hate speech on digital platforms has been one of the most challenging issues concerning user safety, societal harmony, and platform integrity. The rise of AI-powered tools promises great potential for identifying and stopping the dissemination of hate speech in real time. This manuscript will explore the role of artificial intelligence in dealing with hate speech, focusing on NLP techniques, machine learning models, and ethical considerations. Through an analysis of existing research, methodologies, and results from implemented systems, the study presents actionable insights in designing robust AI-driven hate speech detection tools. These findings underscore the importance of accuracy, fairness, and transparency in developing such tools to ensure equitable outcomes.