How law enforcement agencies use artificial intelligence to fight crime

To address this issue and help police officers catch sexual predators before they do any harm, a team of researchers from Purdue University, led by assistant professor Kathryn Seigfried-Spellar, developed an algorithm called the Chat Analysis Triage Tool (CATT), which can identify sex offenders most likely to arrange face-to-face meetings with potential victims by analysing their word usage and conversation patterns.

To develop the algorithm, the researchers first examined more than 4,300 messages from 107 online chat sessions that involved sex offenders, using a process called statistical discourse analysis to identify different trends in word usage.

That way, officers can begin to prioritize which cases they want to put resources toward to investigate more quickly.” According to the International Labour Organization, 40.3 million people around the world were trapped in modern slavery in 2016, with one in four of them being children.

To address this issue and help the police find victims of human trafficking, a startup called Marinus Analytics developed Traffic Jam, a software suite that uses AI to comb the internet for escort ads and create a database of photos, phone numbers, and location data.

Polygraphs are designed to measure physiological factors like blood pressure, heart rate, breathing rate, and perspiration as a person of interest answers a series of questions, with elevated values considered indicative of lying.

Developed by the Utah-based company Converus, EyeDetect is digital lie detection system that aims to determine whether a person is lying or telling the truth by measuring subtle changes in the eye, including pupil diameter, eye movement, reading behavior, blinks, and fixations.

The software then analysed the data to identify nearly 1,400 indicators that could be used to predict crime, such as the number of crimes an individual committed with the help of others and the number of crimes committed by people in that individual’s social group.

Some have also voiced concerns about potential bias in the data used to train the system, which could result in biased predictions and lead the police to focus their efforts on certain communities, while leaving other communities underprotected.

AI offers unparalleled ability to analyse massive amounts of data in a short amount of time and identify patterns that may be imperceptible to humans, leading many law enforcement agencies around the world to start experimenting with using AI for crime-fighting purposes.

Whether it’s used to catch online sexual predators, identify victims of human trafficking, determine whether a person is lying, or even predict crime before it happens, artificial intelligence certainly has the potential to make the world a much safer place, but we need to proceed with caution and make sure to address any outstanding concerns before we put our fate into its hands.

Artificial Intelligence and Robotics

Advancements in artificial Intelligence (AI) and robotics have resulted in, what was once science fiction or obscure academic research, becoming increasingly integral to the very functioning of modern society.

The transformative potential of these technologies is already being leveraged by the healthcare, agriculture, automotive, manufacturing, energy, financial, communications, entertainment, retail, and many more sectors, to enhance efficiency, improve powers of prediction, optimize resource allocation, reduce costs, create new revenue opportunities and contribute to the fulfilment of the 2030 Agenda for Sustainable Development.

The Centre is committed to advancing understanding of AI, robotics and the broader ecosystem of related technologies, from the perspective of crime, justice and security, and to exploring their use for social good and contributing to a future free of violence and crime.

Since its establishment, the Centre has built a solid knowledge base and an extensive international network of partners and stakeholders which it utilises to carry out activities and convene expert-level meetings, training courses and workshops.

Chief Artificial Intelligence Officer (NSS) at IDEMIA • Disabled Person

Our deep understanding of biometric, biographic, credential, and digital forms of identity allows us to guide our clients to achieve their business goals.

* Working closely with clients, data stewards, project/program managers, and other IT teams to turn data into critical information and knowledge that can be used to make sound agency decisions.The Chief AI Officer is responsible for the coordination, functional management, and technical leadership of all artificial intelligence (AI) and Machine Learning (ML) Research and Development (R&D) activities.

* Position Summary: * Deep technical understanding of modern artificial intelligence (AI) and in particular machine learning (ML), especially as reflected in convolutional neural networking technology

* Proven ability, demonstrated on multiple unrelated complex programs, to apply AI/ML to computer vision, pattern matching and related cutting-edge research to identification and video analytics problems of interest to the national security and public safety community

* Exceptional presentation skills to executive non-technical audiences Additional Qualifications: * Strong leadership skills with significant experience managing expert technical and supporting staff in complex R&D engagements

* An excellent record of publication in referred journals, comparable to those of tenured professors at major research institutions, and supportive of R&D grant application activity

We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics

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