How Machine Learning Fuels the Fight Against Sex Trafficking

Explore a conference talk on leveraging machine learning and Snorkel AI's tools to combat global sex trafficking. Delve into Hamsa Bastani's presentation, which outlines innovative approaches for detecting and tracking high-risk activities associated with this illegal trade. Gain insights into the methodology, including active learning techniques and policy implications. Examine the socioeconomic characteristics of victims and the transition from recruitment to sex sales. Understand the significance of this research in empowering law enforcement and stakeholders to protect vulnerable populations. Conclude with a summary and Q&A session, offering a comprehensive overview of this crucial application of machine learning in the fight against human trafficking.

Introduction
Deep Web Data
Example
Methodology
Active Learning
Policy Implications
Recruitment vs Sales Pressure
Socioeconomic Characteristics
Recruitment to Sex Sales
Why is this important
Summary
Questions