Machine Learning: A New Weapon In The War Against Forced Labor And Human Trafficking Fast Company The Future Of Business

Many of these people are being exploited in ways that have existed throughout history: About 22% are victims of "forced sexual exploitation," with others made to work in agriculture, manufacturing, construction, or domestic labor, according to the report from the U.N.'s International Labor Organization. Researchers and activists say part of the solution to this ancient problem may be surprisingly modern: Machine learning and similar statistical tools can identify suppliers of goods and services that are more likely to involve forced labor, whether they're electronics manufacturers in developing countries or escort services in the United States. In the U.S., where sex work is frequently advertised online, leaving a digital trail, these techniques can also help guide law enforcement to sex trafficking gangs and their victims. In international trade, that kind of information can help buyers work with their vendors to ensure ethical practices throughout the supply chain or, failing that, switch to new vendors to stay in compliance with regulatory requirements and their own customers' ethics. "A lot of companies are becoming a lot more purpose-driven, and I think there's a lot more importance even to end consumers today about the type of companies they're buying [from]," says Alex Atzberger, president of SAP Ariba, a massive business-to-business procurement network.