Empowering Safe Online Spaces: AI in Gender Violence Detection and Prevention

Abstract

Gender-based online violence (GBOV) is a pervasive issue that disproportionately impacts women and marginalized genders, leading to psychological distress, economic consequences, and restricted participation in digital spaces. This article examines how Artificial Intelligence (AI) offers innovative solutions to detect and mitigate GBOV through tools such as sentiment analysis, hate speech detection, image recognition, and behavioral analysis. AI-powered interventions have significantly enhanced the ability to identify harmful content, automate moderation, and empower victims by providing real-time safeguards. Despite these advancements, challenges such as algorithmic bias, privacy concerns, and the evolving tactics of online abuse remain critical obstacles. This study highlights the importance of developing ethical AI systems, fostering multi-stakeholder collaboration, and implementing robust regulatory frameworks to create safer, more equitable online environments for all.