 Corresponding author: Amina Catherine Ijiga Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0. Collaborative innovations in Artificial Intelligence (AI): Partnering with leading U.S. tech firms to combat human trafficking Amina Catherine Ijiga 1, * , Enoch Joseph Aboi 2 , Idoko Peter Idoko 3 , Lawrence Anebi Enyejo 4 and Micheal Olumubo Odeyemi 5 1 Department of International Relations, Federal University of Lafia, Lafia, Nigeria. 2 Africana Studies and Research Center, Cornell University, Ithaca, New York, USA. 3 Department of Electrical and Electronics Engineering, University of Ibadan, Ibadan, Nigeria. 4 Department of Telecommunications, Enforcement Ancillary and Maintenance, National Broadcasting Commission Headquarters, Aso-Villa, Abuja, Nigeria. 5 Department of Network Infrastructure Building, VEA, Telecoms, Manchester, United Kingdom. Global Journal of Engineering and Technology Advances, 2024, 18(03), 106–123 Publication history: Received on 09 February 2024; revised on 19 March 2024; accepted on 21 March 2024 Article DOI: https://doi.org/10.30574/gjeta.2024.18.3.0046 Abstract This article reviews, integrates, and expands upon research initiatives that explore the development and implementation of advanced artificial intelligence (AI)–driven tools and methodologies. In exploring collaborations with leading U.S. AI technology firms, including Nvidia, Dataiku, DataRobot, and C3.ai, this study is specifically aimed at identifying, preventing, and combating human trafficking. This collaborative effort seeks to create a synergistic framework that capitalizes on the unique capabilities and resources of each firm. The overarching goal is to enhance the effectiveness of AI technologies in detecting trafficking activities, analyzing diverse data sources, and providing vital support to law enforcement and NGOs in rescue and prevention efforts. The comprehensive review delves into the multifaceted applications of AI, emphasizing its role in prevention through machine learning, data analytics, and natural language processing. It navigates through collaborative initiatives, presenting partnerships with prominent U.S. tech firms, accompanied by case studies that showcase successful collaborative projects. Challenges inherent in collaborative AI efforts are addressed, and the paper proposes strategic solutions to overcome these obstacles. The ethical and legal considerations section scrutinizes the implications of deploying AI in human trafficking prevention, exploring the delicate balance between innovation and safeguarding privacy and civil liberties. Furthermore, the final section anticipates future directions and recommendations, providing insights into emerging technologies that could enhance anti-trafficking efforts. Specific recommendations are offered for fortifying collaborations between AI developers and tech firms, and the paper discusses broader implications for policy, suggesting avenues for future research in the dynamic field of AI-driven human trafficking prevention. In essence, this comprehensive review not only synthesizes existing knowledge but also integrates a forward-looking research initiative, contributing significantly to the ongoing discourse on leveraging technology to combat human trafficking on a global scale. Keywords: Artificial Intelligence (AI); Human Trafficking Prevention; Collaborative Innovations; U.S. Tech Firms; Ethical Considerations.