public safety


Artificial Intelligence Used in Hacking and Malware The Tech Portal

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Another distressing application of AI isn't necessarily to attack or steal from businesses or consumers but to allow criminals to get away with other sorts of crimes, like illegal drug sales or sex trafficking. Money laundering is a crucial step in making ill-gotten gains appear legitimate; in the past, criminals would channel their profits from crime through certain investments, but through the application of AI, criminals can deposit dirty money directly into financial institutions and move the money around to make it appear more legitimate. In one case, an AI transferred various sums amongst more than 250 accounts, using labels like "present for Dad" or "new car" to make the transfers more realistic. This made the money all but impossible to track, as when the criminals finally took the money out of the bank, authorities struggled to identify where the money came from to begin with.


Artificial Neural Network Applications and Algorithms - XenonStack

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Artificial Neural Networks are the computational models that are inspired by the human brain. Many of the recent advancements have been made in the field of Artificial Intelligence, including Voice Recognition, Image Recognition, Robotics using Artificial Neural Networks. Artificial Neural Networks, in general – is a biologically inspired network of artificial neurons configured to perform specific tasks. These biological methods of computing are considered to be the next major advancement in the Computing Industry. The term'Neural' is derived from the human (animal) nervous system's basic functional unit'neuron' or nerve cells which are present in the brain and other parts of the human (animal) body.


Government Report Warns of AI Policing Bias

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A new government-backed report has warned that the growing use of automation and machine learning algorithms in policing could be amplifying bias, in the absence of consistent guidelines. Commissioned by the Centre for Data Ethics and Innovation (CDEI), which sits in the Culture Department, the report from noted think tank the Royal United Services Institute (RUSI) will lead to formal recommendations in March 2020. It's based on interviews with civil society organizations, academics, legal experts and police themselves, many of whom are already trialing technology such as controversial AI-powered facial recognition. The report claimed that use of such tools, and those used in predictive crime mapping and individual risk assessments, can actually amplify discrimination if they're based on flawed data containing bias. This could include over-policing of certain areas and a greater frequency of stop and search targeting the black community.


Najm deploys SAS artificial intelligence and analytics solutions to combat fraud in insurance

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SAS, the market leader in Analytics & Anti-fraud Technologies, and Najm for Insurance Services have announced a technology collaboration that will aim to bring SAS expertise to counter and reduce instances of fraud in Automobile and Motor insurance claims. Officials from both companies signed the agreement at a SAS event in Fairmont Riyadh on Wednesday. With the goal of streamlining claims through application assessment and taking a proactive approach to detect & deter fraud in the business, Najm is looking to improve efficiency in fraud identification, fast claims resettlement as well as the development of better-quality alerts, by utilizing the latest analytics & fraud detection technologies. Utilizing Artificial Intelligence and Machine-Learning technologies, SAS will automate aspects of Najm's claimant profiling, and will aim to complement existing manual processes to detect fraud claims through behavioral responses and automatically assess risk patterns. During the event, Najm CEO Dr. Mohammad Al-Suliman spoke about the partnership with SAS and the company's future plans.


MASA Group to showcase its AI-based M&S software – STRS

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MASA will exhibit SYNERGY & XVR at Congrès National des Sapeurs-Pompiers (exhibition for Firefighters) during September 18-21 in Vannes, France. Strategic partner XVR is a leading supplier of first responder training solutions. MASA is becoming more active in the delivery of civil forces preparedness in France. The event will be held to gather clients and prospects to discuss how XVR is being used by safety organizations. Together with Nexter, MASA will also sponsor the event which takes place from Sept. 24-26 in Paris.


A facial recognition ban is coming to the US, says an AI policy advisor

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Which uses will face a ban, it's not yet clear: while some cities have banned use by police departments, Portland's focus is restricting use by the private sector. And the debate is not confined to the US. In the UK, there is growing concern over the use of live facial recognition after it emerged that a property developer had been collecting images of people's faces in an area of London for two years without informing them. We still don't know how that data was used, Daragh Murray, a human rights lawyer at the University of Essex, said on stage.


Artificial Intelligence in Payment Processing – Current Applications Emerj

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It seems that the majority of AI solutions for payment processing are focused on fraud detection and prevention. Some companies claim to offer straight-through processing software as well. We'll get started with background information about AI in payment processing, and then we'll explore the vendor use cases in depth individually. The companies discussed in this report vary in their densities of AI talent, which is one of the three rules of thumb we use when determining whether or not a company is actually leveraging AI or using it more for marketing purposes. We look for companies with AI talent in their C-suites first and foremost, but perhaps equally important is the number of data scientists employed at the company.


Smart Streetlights which use FACIAL RECOGNITION raise concerns in San Diego

Daily Mail - Science & tech

What began as a way to increase public safety has turned into a civil rights concern. Some residents of San Diego, California are demanding the removal of some 4,000 'Smart Streetlights' which they claim are an invasion of privacy. The devices use sensor nodes to gather a range of information, such as weather and parking counts, but also uses facial recognition technology to count pedestrians. Some residents of San Diego, CA are demanding the removal of some 4,000 'Smart Streetlights' which they claim are an invasion of privacy. The San Diego City Council approved the installation of the Smart StreetLights in December 2016 - and now approximately 4,200 are in place.


Pennsylvania man dropped explosives on ex-girlfriend's property from a drone: prosecutors

FOX News

Fox News Flash top headlines for Sept. 18 are here. Check out what's clicking on Foxnews.com A man arrested in June for allegedly dropping explosive devices in an eastern Pennsylvania community via a drone was targeting his ex-girlfriend's home, according to prosecutors. Jason Muzzicato, 44, was taken into custody in Washington Township in Northampton County by the FBI and local authorities after he was linked to the explosions. Evidence at his home and his business, Bangor Motor Works, tied him to several explosions in the township since March.


How US Bank Uses Machine Learning To Fight Fraud PYMNTS.com

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Mobile and online banking providers have been upping their fraud protection measures over the last decade, making it more difficult for bad actors to rely on some of the schemes that previously worked in such channels. The prevalence of CNP fraud, once the bread and butter of the enterprising cybercriminal, has steadily crept downward each year alongside other forms that game customers' credit card numbers. Cybercriminals are still masters of a thriving trade, though. Banks are dealing with rapid rises in fraud schemes such as ATOs, synthetic identity fraud and account opening fraud. Creating new credit or mobile device accounts is a popular application, which uses legitimate customers' stolen information to defraud both them and their financial institutions (FIs).