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IMAGE: Percentage of 2018 fishing effort (in kilowatt-hours) made by model-identified high-risk vessels out of the total fishing effort by all vessels included in the model, using baseline assumptions, within the. view more
Credit: Global Fishing Watch
EMBARGOED FOR DECEMBER 21, 2020, AT 3:00 PM EST
Washington, D.C. - Vessels known to have crew that are subject to forced labor behave in systematically different ways to the rest of the global fishing fleet, reveals a new paper published today in the scientific journal, Proceedings of the National Academy of Sciences. The discovery was used to build a first-of-its-kind model to identify and predict vessels at high risk of engaging in these abuses.
AI and Satellite Data Could Help End Slavery on the High Seas
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An Indonesian Maritime and Fisheries Ministry patrol boat sails past foreign fishing boats caught operating illegally in Indonesian waters off Datuk Island, West Kalimantan, Indonesia in May 2019. (Photo: William Pasaribu, AP)
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Slavery is rampant on fishing vessels around the world. Just how rampant, though, is an open question, given the challenges of cataloging what happens onboard thousands of vessels that spend weeks out at a sea and move from port to port, including in countries with lax regulations.
By Nanchanok Wongsamuth
BANGKOK, Dec 21 (Thomson Reuters Foundation) – Fishing vessels with crews of forced laborers behave in systematically different ways to the rest of the global fleet, according to a study purporting to be the first to remotely identify vessels potentially engaged in modern slavery.
Using satellite data, machine learning and on-the-ground expertise from human rights practitioners, U.S. researchers found up to 26% of about 16,000 industrial fishing vessels analyzed were at high risk of using forced labor.
As many as 100,000 people are estimated to work on these high-risk vessels, many of whom are potential victims of forced labor. The study also showed where these high-risk vessels fished and the ports they visited.
A tracking system designed to help ships avoid crashing into each other has become an important tool for spotting bad behavior on the high seas. Researchers can now put a spotlight on corporations that dominate fishing in unregulated international waters where it’s easier to get away with overfishing. And it’s giving us a better idea of how widespread slave labor could be on fishing vessels.
That all makes it easier to make companies answer for any abuses they commit
Two recently published papers use this technology, the maritime Automatic Identification System (AIS), to make high-seas fishing a little less mysterious. The first study, published in the journal