ItemConference Paper

AI-Based Risk Profiling of Online Human Trafficking Victims: A Multimodal Framework for Proactive Detection

Title
AI-Based Risk Profiling of Online Human Trafficking Victims: A Multimodal Framework for Proactive Detection
Creator
Ealias, Aleena; Jayabalan, Bhuvana; Priya, Mohana
Description
Human trafficking is still a major worldwide crime that is made easier by digital channels, including social media, job advertisements, and websites that offer escort services. This study offers a thorough examination of artificial intelligence (AI) approaches to human trafficking detection and prevention, with a focus on identifying the most susceptible groups. From authorship attribution and geolocation extraction to social network analysis and multimodal detection, we analyze around 20 scholarly papers that include text, photos, audio, and network data. Lack of victim-focused profiling, data scarcity, bias in AI, and ethical deployment issues are some of the main research needs. In response, we provide a conceptual AI system that uses publicly available signals to evaluate individual vulnerability by combining network analysis, natural language processing, and weakly supervised learning. This work emphasizes the importance of ethically grounded AI systems to assist NGOs, law enforcement, and policymakers proactively identify at-risk individuals and prevent exploitation before it occurs. 2025 IEEE.
Source
Proceedings - 2025 International Conference on Transformative Computing Technologies, ICTCT 2025;pp.50-55
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
ethical AI; Human trafficking detection; multimodal AI; social network analysis; victim risk profiling; weakly supervised learning
Coverage
Ealias A., Christ University, Department of Computer Science, Bengaluru, India; Jayabalan B., Christ University, Department of Computer Science, Bengaluru, India; Priya M., Christ University, Department of Computer Science, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833159195-3;
Format
online
Language
English
Type
Conference paper

Citation

Ealias, Aleena; Jayabalan, Bhuvana; Priya, Mohana, “AI-Based Risk Profiling of Online Human Trafficking Victims: A Multimodal Framework for Proactive Detection,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26131.

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