Defensibility in Human Trafficking episode artwork

EPISODE · Feb 24, 2026 · 33 MIN

Defensibility in Human Trafficking

from UVA Data Points · host UVA School of Data Science

Would you be able to recognize the subtle red flags that someone is being controlled, exploited, or groomed? In this conversation, we will dive into the complexities of understanding human trafficking and the role AI is playing to help law enforcement identify traffickers and their victims. Our guests are Kimberly Adams, who leads the strategic architecture of AINA Tech, and Shweta Jain, AINA’s Co-Founder and Technical Architect, whose background in digital forensics and cybersecurity shapes the system’s design. The conversation is led by Adam Tashman, Associate Professor of Data Science at UVA. Together, they discuss designing AI for defensibility, integrity, and institutional trust. Adam Tashman is an associate professor of data science, Director of the Data Science Capstone Program, and former Director of the Online M.S. in Data Science Program. Courses taught include reinforcement learning, distributed computing, programming for data science, mathematical finance, actuarial statistics, probability and statistics, and survival analysis. Research interests include AI in personalized medicine, digital health, computer vision, large language models, and quantitative finance. Kimberly Adams leads the strategic framing and execution architecture of AINA. Her work focuses on building AI systems that can withstand legal and institutional scrutiny, particularly in high-stakes environments such as human trafficking investigations. She has worked alongside DOJ-funded task forces and engaged with federal stakeholders to translate governance, procurement, and evidentiary requirements into system design constraints. Through programs such as NSF I-Corps and collaborations with academic partners, she structures how AINA retires institutional risk before deployment. Shweta Jain leads the technical architecture of AINA, focusing on defensibility, constrained inference, and system integrity. Her background in digital forensics and cybersecurity informs the development of AI systems designed to operate under evidentiary standards. She oversees the rigor, feasibility, and long-term survivability of AINA’s core architecture. She is Chair of the Department of Mathematics and Computer Science at John Jay College, an NSA-designated Center of Academic Excellence in Cyber Defense.

Episode metadata supplied by the publisher feed · Published Feb 24, 2026

Would you be able to recognize the subtle red flags that someone is being controlled, exploited, or groomed? In this conversation, we will dive into the complexities of understanding human trafficking and the role AI is playing to help law enforcement identify traffickers and their victims. Our guests are Kimberly Adams, who leads the strategic architecture of AINA Tech, and Shweta Jain, AINA’s Co-Founder and Technical Architect, whose background in digital forensics and cybersecurity shapes the system’s design. The conversation is led by Adam Tashman, Associate Professor of Data Science at UVA. Together, they discuss designing AI for defensibility, integrity, and institutional trust. Adam Tashman is an associate professor of data science, Director of the Data Science Capstone Program, and former Director of the Online M.S. in Data Science Program. Courses taught include reinforcement learning, distributed computing, programming for data science, mathematical finance, actuarial statistics, probability and statistics, and survival analysis. Research interests include AI in personalized medicine, digital health, computer vision, large language models, and quantitative finance. Kimberly Adams leads the strategic framing and execution architecture of AINA. Her work focuses on building AI systems that can withstand legal and institutional scrutiny, particularly in high-stakes environments such as human trafficking investigations. She has worked alongside DOJ-funded task forces and engaged with federal stakeholders to translate governance, procurement, and evidentiary requirements into system design constraints. Through programs such as NSF I-Corps and collaborations with academic partners, she structures how AINA retires institutional risk before deployment. Shweta Jain leads the technical architecture of AINA, focusing on defensibility, constrained inference, and system integrity. Her background in digital forensics and cybersecurity informs the development of AI systems designed to operate under evidentiary standards. She oversees the rigor, feasibility, and long-term survivability of AINA’s core architecture. She is Chair of the Department of Mathematics and Computer Science at John Jay College, an NSA-designated Center of Academic Excellence in Cyber Defense.

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This episode was published on February 24, 2026.

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Would you be able to recognize the subtle red flags that someone is being controlled, exploited, or groomed? In this conversation, we will dive into the complexities of understanding human trafficking and the role AI is playing to help law...

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