The role of data science in preventing and rescuing children from human trafficking
Panel Discussion | April 26 | 11 a.m.-12:30 p.m. | B100 Blum Hall
How can artificial intelligence and machine learning help prevent child exploitation and human trafficking? Researchers and advocates in academia, industry and the nonprofit world are coming together in this panel to discuss technological interventions to combat this issue.
For example, there are now about 425,000 entries of missing children in the National Center for Missing & Exploitation Childrens database. Last year alone, the NCMEC CyberTipline received more than 18.4 million reports of possible child sexual exploitation. There is a much promise in AI/ML to enable the search of tens of millions of images in an effort to a) identify children and suspects; b) associate images with network addresses or domain names and c) to distinguish new images from known ones. Searching and investigating these reports in a timely manner is nearly impossible without the assistance of technology. Moreover, AI/ML may be instrumental in the timely prevention of trafficking. Research is ongoing regarding the use of AI/ML to detect alarming internet and social media messages, including the use of online messaging to lure children into child trafficking.
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