to connectVideoInside law enforcement’s efforts to stop human trafficking
“Fox Report,” you will find information on the horrors of human trafficking and the steps being taken by the law enforcement agency to stop it.
It is one of the world’s deadliest and most barbaric of global ventures.
Each year, human trafficking generates over $ 150 billion in profit, at the expense of human life, with children, accounts for approximately one-third of the victims. It is a practice that works on the basis that in almost every country on the planet, and despite the resources thrown at it by the enforcement of the law, and non-governmental organizations, and social media campaigns – it only seems to be growing.
Experts on the topic say that of the tools that can be used even in the most developed societies are falling, and what is needed to make a dent in these grim and growing business.
However, the artificial intelligence (AI) and machine learning (ML)? That could change the game.
“When you’re swallowing large amounts of data and information, or you can try to identify trends and patterns, and it can be very difficult to do well,” Alma Angotti, a former united states regulation, to the official of the united states Securities and Exchange Commission and the Financial Industry Regulatory Authority, told Fox News. “Most of the time, it is a rule-based system, such as the marking of the transaction exceeds a certain amount or with a certain frequency. The problem with this is that you will not be able to identify patterns and problems.”
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The united states Department of Homeland Security defines human trafficking, also called modern-day slavery, as a crime that “involves the use of force, fraud,and coercion to obtain some type of labor or commercial sex act.”
The AI and ML, Angotti said, is to have the ability to analyze more than just financial business.
“Well, it can highlight the social, economic, and even political conditions of hundreds of thousands of sources,” she said. “For example, law enforcement can have a look at the young women of a certain age who are entering the country from certain high-risk areas. Marry that with social media, and young people missing from home, or those who have a false agency, or who think that they are getting a nanny job, and I can tell you, you have to develop a complete picture. The information can be put in at one time, instead of a client having to go through the Dark Web.”
– In this Oct. 27, 2015 photo, Dawn Stenberg from the Junior League of Sioux Falls, is located in the vicinity of the group’s anti-human trafficking billboard in Sioux Falls, S. D.
The current anti-money laundering (AML) environment, Angotti noted, is based on a simple transaction monitoring rules to detect trafficking in human beings, and simply do not have the capacity to consider the weight and the examination of the required number of inputs.”
“The problem is that it produces a lot of false positives, so the real issues get lost in the weeds. If you use more machine learning, you can be in the range of the variables, and the machines can also make use of the information, and to learn first-hand what it is better to identify the patterns,” she said.
“You’ll get better warnings, and cautions, which are more likely to identify with the organization.”
In spite of its potential, but for now, these tools remain under-utilised, Angotti said.
“The government should be able to increase the use of technology in the support of a highly trained law enforcement officers in dealing with this complex issue. It would be useful to have in order to match dataholders, governments, and financial institutions, as with the computational science and AI are partners in providing usable tools for human trafficking activity and the financial flows associated with it,” she said. “The same networks that traffickers use to recruit their victims, they can also be used as a source of information for the detection of criminal activity.”
QuantaVerse, CEO and co-founder, David McLaughlin says that, while it is the small steps that will have a significant impact, as there is much more that can be done about it. The artificial intelligence is able to follow the money made by trafficking in human beings and activities. This means that, instead of identifying only the lower-level traffickers, are the “beneficial owners”, or kingpins of these operations can be discovered, ” he said.
“The AI is much better at finding the suspicious financial activity of the older technology. Today, the banks are required by regulators to report any kind of unusual banking activity by filing Suspicious Activity Reports (Sars) to FinCEN. In order to do this, the banks’ anti-money laundering (AML) team is currently relying are out of date, rules-based Transaction Monitoring Systems (TMS),” McLaughlin explained. Suspicious transactions will be flagged by the SYSTEM and presented it to the human scientists to determine whether or not a flag will have to be reported to the proper authorities.
“Unfortunately, 95% of the flags generated by the SYSTEM-systems that are good-natured, and the waste of the vital importance of research-based resources. Worse still, treasury management systems, are missing, crimes that go through the banking system.”
McLaughlin said, the AI allows for the research of graves, and then to produce summary reports on its findings. (AML), researchers can now spend their valuable time and expertise in the analysis of the AI’s findings and the adoption of resolutions on the trafficking of human beings in activity, faster than ever before.
Technology is also playing an important role in the private and public sectors, as a community, rather than taking a top-down approach. The point of the app is also a revolution in the fight against modern-day slavery, with a special focus on the next step in the process of converting data into something actionable.
US researchers have developed an AI engine earlier in the year, with the title Hotels-50K, which will make a hotel out of a picture of a hotel in a major development for human trials.
“The images are a direct link with the victims, and can assist in the control of the victim of trafficking in human beings, and that their traders will be able to move, or to others in the future. The identify of the hotel, from the pictures, it is a challenge because of the low quality images, unusual camera angles, a large occlusions (often the victim), and the similarity of the objects (e.g., furniture, artwork, sheets) about the various rooms,” the developer wrote. “In support of the efforts made in the direction of the hotel in the recognition task, we have assembled a data set of more than 1 million to complete a hotel room, images of over 50,000 hotels.
FILE – In this Tuesday, oct. 9, 2018, file photo, New Google Pixel’s 3 smart phones have been shown in New York at the time. Google’s new Pixel is 3 and the phone is playing catch-up with Apple and Samsung on the hardware. It truly is designed to show Google’s progress in the software, especially in artificial intelligence. (AP Photo/Richard Drew, File)
These images are professionally shot photographs of the travel websites, and crowd-sourced images from mobile application developers to continue to exist, which are more similar to the shapes of the frames are analyzed in real-world research. The analysts then make an effort to be “a diagnostic approach that is based on a standard network architecture, and the collection of data augmentation, the approach adapted to this problem domain.”
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In the meantime, the “STOP-APP” is designed to “empower people around the world to report suspected incidents of human trafficking, anonymous, and secure.” The information is then instantly uploaded to a secure database for the app, which is the parent organization, Stop the Traffik, in which it is being analyzed in cooperation with a number of different datasets on human trafficking and modern-day slavery activities. The raw data used to develop trend reports, and alert the authorities, and the communities where it is needed.
With the likes of IBM, has entered into a partnership with an international money exchange agencies such as Western Union, to develop a cloud-based database to identify questionable payments, and can be identified by means of the well-established patterns and provide a proven to be aware of human trafficking cases in the past. The team HumanSlavery.com at present, the development of a “unique solution”, which is a mechanism for notifying of a location of the tracking that makes use of existing sensors, such as cameras and heat sensors in addition to the law enforcement databases in order to make a map with the help of artificial intelligence, in which the authorities are then able to work with.
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However, experts warn that the technology is only part of the solution. “The first thing to keep in mind is that human trafficking is a fundamental issue of human nature, that is, the AI can only see a small part of the solution. Source: council of europe, for example, to be a part of a dysfunctional ecosystem is created by a series of economic, social, and legal issues,” said Notre Dame Assistant Professor of Law, Alexandra, Yelderman. “At its best, the AI will be as good as the people in untangling this complex set of issues, but it’s probably better not to.”