Can AI Catch Criminals at Sea? | Dyhia Belhabib | TED

43,731 views ・ 2024-04-11

TED


Please double-click on the English subtitles below to play the video.

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I am a scientist, and for a living,
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I snitch on, profile and investigate ocean crime and its behavior,
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which for someone who A, cannot swim --
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I sink like a needle,
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(Laughter)
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and B, was born in a small landlocked Algerian village,
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seems unlikely.
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Yet here I was, a few years ago in the port of Dakar in Senegal,
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to investigate a Spanish-owned vessel
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under the name The Asian Warrior.
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The vessel was on Interpol's radar for illegal fishing
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and had escaped Thai custody
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under the very Spanish name: THAICHAN.
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The vessel was docked parallel to three other large ships
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that I needed to cross to board it.
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But on the first ship, I already noticed three crewmen
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sitting on the floor, eating nothing but rice.
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Behind them, their sleeping chamber with cardboard in lieu of mattresses,
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no blankets, and with a ceiling about as high as a bunch.
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I could see lots of rust
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and dead fish piled up in gray water everywhere.
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I have spent time on ships.
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It gets cold at night,
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and if you don't have proper sleep,
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nutrition and clean water, you will not make it.
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What I was seeing there were indicators of a crime
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we call modern-day slavery or forced labor.
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Over the years,
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I've counted nearly 50 different types of ocean crimes like this one,
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ranging from drunk driving or navigating
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to illegal fishing,
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drug trafficking, wildlife smuggling,
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terrorism and murder.
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And most of these crimes happen out of sight of any authorities.
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You can literally take a selfie of yourself
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shooting someone in the high seas without any fear.
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This is a photo that I took from a video,
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a widely circulated video,
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that was showing people swimming in the ocean,
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being shot at from a boat while trying to escape.
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The only reason we know of its existence
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is because the owner of the phone who took the selfie
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forgot it in a cab in Fiji,
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and the cab driver gave it to the authorities.
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Oceans cover two thirds of the planet's surface.
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There are nearly 4.6 million vessels out there, and of that,
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we only have visibility into the activity of about two percent.
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This lack of visibility is exploited by criminals
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and provides perfect cover for their illicit operations.
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These unseen activities, in turn,
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have huge impacts on what happens in our own backyards, on land.
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In Vancouver, where I live,
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money laundering from maritime drug trafficking
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has contributed immensely to increasing the cost of real estate.
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How?
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It's quite simple.
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Here's a recipe.
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Gains from drug trafficking have to be laundered somehow
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to be injected into legit markets.
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And one of the best ways of doing that is buying real estate
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and inflating the price.
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That's what the Chinese triads have done in the city,
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by injecting over four billion dollars into our real estate.
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But it's also happening in other places like Missouri and Kansas,
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and places known for their luxurious lifestyle, such as Dubai.
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And it's not just real estate.
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Take the drug crisis in the United States, here in our own backyards here,
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where drug overdose is the number one cause of youth death,
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beating cancer and gun violence.
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In fact, illicit drug users in the United States
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spent 150 billion dollars on illicit drugs.
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Drugs enter the country by land, by air and by sea.
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Over 9.2 million shipping containers filled with narcotics
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still reach American coast, beaches and ports
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every single year.
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From Mexico, yes,
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but also from other places in the world far away,
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like Myanmar in Southeast Asia and even Afghanistan.
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Current efforts like random patrolling
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or the opportunistic use of human intelligence
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do little to stop the flood of narcotics.
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We still use these outdated policing techniques --
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no, it's not CSI -- and basic enforcement models,
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while criminals are the ones who are actually using CSI.
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They are adept in using technology to always be ahead.
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The Spanish mafia uses autonomous submarines
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to provide logistical support to drug traffickers.
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Embargo-violating fuel smugglers in the Indian Ocean
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will use sat phones to communicate their whereabouts to their clients.
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Pirates.
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It's quite ironic, because when I say I'm a crime fighter,
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they say, "Do you chase pirates?"
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Actually, pirates use satellite systems to detect vessels,
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chase them down and capture them for ransom.
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Intercepting drugs on transit before they can even reach our shores
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could help curtail the health crisis in the US
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and allow me to maybe one day, hopefully,
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buy a house in Vancouver.
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(Laughter)
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And in order to do that,
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we need to transition from reactive to proactive enforcement.
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For example, we can create a criminal record for vessels,
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their owners, their operators.
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Yes, we still don't have that.
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And strategize enforcement based on that intel.
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So my business partner Sogol and I, created Hava,
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a powerful artificial intelligence investigator
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that uses 650,000 keyword combinations
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in the 23 most spoken languages in the world
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to do one single thing:
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bust these criminals.
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(Applause)
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The program first looks for crimes online in all available databases,
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ranging from simple press releases by coast guards to Interpol notices,
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figures out who's involved,
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identifies their location, ship routes, identities
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and criminal networks.
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To build the system or the tech,
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we spoke to ethicists to reduce bias.
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We consulted with law enforcement to understand the gaps.
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We even, I was going to say partnered,
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we spoke to criminals to --
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(Laughter)
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Learn how they can get away with crime.
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If I wanted to be a criminal, I would be a really great one now.
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(Laughter)
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The whole idea is to adopt a vessel of concern approach.
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It means we see it when a dangerous,
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potentially criminal vessel is entering our waters,
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or when a shady company wants to do business with us.
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Right now we can see some of these ships,
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what they're doing, where they're going.
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But we don't know what's happening on these ships
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or what they may be up to,
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much like profiling a known person of interest --
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now that's CSI --
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or knowing when a dangerous,
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potentially and repeat sex offender is back in town.
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Hava gives us the ability to see, on a map, high-risk ships,
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even when they look innocent on the surface.
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Using this approach in 2022,
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Madagascar refused fishing licenses to Chinese vessels with a criminal record.
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A number of Spanish companies are now in murky waters,
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no pun intended,
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after their illegal fishing activities and labor offenses
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were uncovered earlier this year in Senegal.
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Hava also gives us information on networks
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or criminal networks who did not have before.
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And boy, we need them.
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Take the vessel Fu Yuan Yu 831,
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which was caught in Indonesia on multiple charges
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and was flying multiple flags.
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The owner of the vessel, who was a Chinese elected congressman,
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did his best to cover his involvement
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by creating a very complicated ownership network for the vessel.
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The Fu Yuan Yu 831, which came all the way from China,
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was apparently owned by a shell company based in Timor-Leste,
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which in turn was partly owned by a Chinese state-owned company.
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And that's when that congressman comes into play.
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Convoluted, right?
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But it's very common to use complicated networks to get away with crimes.
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We have been navigating solutions to maritime crimes for decades now,
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and they tend to be one-size-fits-all.
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Stop eating fish to save the ocean.
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Send more boats at sea to stop the flow of migrations.
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Close down the borders and build walls to reduce drug trafficking.
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Yeah, they won't work.
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In fact,
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maritime crimes such as illegal fishing and drug trafficking
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have tripled in the past 10 years.
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Over the 15 years that I've been doing this work
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with agencies, fishermen, criminals and many others,
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technology helps to tackle crime to save time, save money,
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but also share knowledge and build bridges
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to achieve the common goal of protecting our oceans,
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our youth and our backyards.
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But it only ever worked when people were fully involved in the process.
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Technology is powerful,
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but it lacks the nuanced understanding,
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knowledge and networks stored in our individual human minds.
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In the case of the investigation on the Spanish companies
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operating in Senegal,
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technology showed us where the vessels were,
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at what speed they were operating,
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their identities.
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But we still needed to talk to fishermen
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to understand the unspoken political context
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in order for us to make sense of that.
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Technology needs us to fill the gaps and to limit misrepresentations and bias.
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In Thailand, interviews revealed that 25 percent,
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that's a quarter,
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of all fishing laborers were worked between 17 to 24 hours a day, nonstop.
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So when we catch an illegal fishing vessel or when we see it,
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and we are about to criminalize the crew and arrest them,
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we always need to remember
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that they may be in a situation of human trafficking
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or forced labor.
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We always need a human approach
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to complement the technology to target the right criminals.
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Because what we see does not tell the whole story.
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To meaningfully detect crime and stop it,
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human creativity and technological progress
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have to always go hand in hand.
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Thank you.
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(Applause)
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