The following presentation, created using Canva, was developed to accompany a white paper written for Apne Aap Women Worldwide, a grassroots Indian organization working to end sex trafficking by empowering marginalized women and girls.
Presented at the 2025 UN Commission on the Status of Women (CSW69) / Beijing+30 side event, “Advancing Global Efforts Against Human Trafficking – Innovations and Partnerships,” the slideshow shares my research findings on the role of artificial intelligence (AI) in the fight against human trafficking. It explores the potential, current uses, and pitfalls of applying advanced technologies to a deeply human crisis. Developed through a mixed-methodology approach—including interviews with experts from organizations such as Thorn, All Tech Is Human, Human Rights Watch, and McKinsey & Co., alongside a literature review and real-world case studies—the presentation offers a conceptual and practical overview of how AI is being used in anti-trafficking efforts today and current gaps to consider when applying the technology.
Key areas of focus include:
Core AI technologies such as machine learning, natural language processing, and deep learning
The evolution from traditional and predictive AI to generative and emerging agentic AI
Examples of AI-driven tools such as Spotlight, aiWARE, and the Traffik Analysis Hub
Risks and limitations, including data privacy concerns, algorithmic bias, and the rise of deepfakes and synthetic content
Gaps in infrastructure, talent, and regulatory frameworks, particularly in regions most affected by trafficking
The presentation concludes with a set of forward-looking recommendations centered on responsible AI governance, investment in local infrastructure and talent, improved data-sharing protocols, and the non-negotiable need for human oversight in all AI applications related to trafficking prevention.
AI is not a silver bullet—but when used thoughtfully and ethically, it can significantly expand the scope and speed of anti-trafficking efforts. This research advocates for a collaborative, rights-based approach to technology, ensuring that innovation serves the vulnerable rather than exploits them.