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Reshaping the Future of Crime, Terrorism and Security - Artificial Intelligence and Robotics
Recent technological advancements in artificial intelligence (AI) and robotics have moved these technologies away from the realm of science fiction and into our daily lives. The massive growth in computational power and increasing abundance of data have vastly improved the capabilities of AI and robotics, giving them more real-world applications. In light of this, stakeholders in both the public and private sector have begun to pursue these technologies with a view to revolutionizing fields such as healthcare, transportation, agriculture and the financial and legal systems, by enhancing efficiency, optimizing resource allocation, reducing costs and creating new revenue opportunities. The technological advances taking place in the fields of AI and robotics can also have many positive effects for law enforcement and security agencies, for instance in terms of identifying persons of interest, stolen vehicles or suspicious sounds and behavior; predicting trends in criminality or terrorist action; tracking illicit money flows; flagging and responding to terrorist use of the internet, and even contributing to international cooperation by supporting the research, analysis and response to international mutual assistance requests from the International Criminal Police Organization (INTERPOL). At the same time however, these technologies are only as good as the user that employs them. In the hands of criminals or terrorist organizations such dual-use technologies could equally enable new digital, physical or even political threats. The event will seek to build upon the success of the UNICRI-INTERPOL meeting in Singapore by further raising awareness of the risks and benefits of AI and robotics for a crime, terrorism and security perspective and contributing to fostering a coordinated international movement on the issue. Key challenges, findings and recommendations identified during the UNICRI-INTERPOL meeting will also be spotlight and copies of the forthcoming meeting report will be distributed. The event organized by UNICRI and INTERPOL, with the support of the Permanent Missions of Georgia, the Kingdom of the Netherlands and the United Arab Emirates will have two substantive panels: Panel I – “The Future, Today” Panel II – “Facing the Challenges Together”
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Police Unlock AI's Potential to Monitor, Surveil and Solve Crimes | WSJ
Law enforcement agencies like the New Orleans Police Department are adopting artificial-intelligence based systems to analyze surveillance footage. WSJ's Jason Bellini gets a demonstration of the tracking technology and hears why some think it’s a game changer, while for others it’s raising concerns around privacy and potential bias. Photo: Drew Evans/The Wall Street Journal
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How Cops Are Using Algorithms to Predict Crimes | WIRED
The LAPD is one of a growing number of police departments using algorithms to try to predict crimes before they happen. Proponents of these tools say they provide cops with added tools to keep their cities safe -- but critics argue it's just another form of profiling.
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How AI Could Reinforce Biases In The Criminal Justice System
Increasingly, algorithms and machine learning are being implemented at various touch points throughout the criminal justice system, from deciding where to deploy police officers to aiding in bail and sentencing decisions. The question is, will this tech make the system more fair for minorities and low-income residents, or will it simply amplify our human biases? We all know humans are imperfect. We're subject to biases and stereotypes, and when these come into play in the criminal justice system, the most disadvantaged communities end up suffering. It's easy to imagine that there's a better way, that one day we'll find a tool that can make neutral, dispassionate decisions about policing and punishment. Some think that day has already arrived. Around the country, police departments and courtrooms are turning to artificial intelligence algorithms to help them decide everything from where to deploy police officers to whether to release defendants on bail. Supporters believe that the technology will lead to increased objectivity, ultimately creating safer communities. Others however, say that the data fed into these algorithms is encoded with human bias, meaning the tech will simply reinforce historical disparities. Learn more about the ways in which communities, policemen and judges across the U.S. are using these algorithms to make decisions about public safety and people's lives.
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