It might look like nothing more than a camera on a stick, but this AI traffic cop could help to crack down on bad drivers. Today, Safer Roads Humber will deploy an AI-powered mobile camera to catch drivers on their phones and not wearing seatbelts. The camera, operated by Australian road safety company Acusensus, will be on the roads of East Yorkshire and Northern Lincolnshire for a week. This is the second time the AI camera has been deployed in the area as part of a UK-wide trial conducted by National Highways. Ian Robertson, from the Safer Roads Humber partnership, says: 'This state-of-the-art equipment increases our enforcement capability.'

We propose an automated algorithm to stress-test a trained visual model by generating language-guided counterfactual test images (LANCE). Our method leverages recent progress in large language modeling and text-based image editing to augment an IID test set with a suite of diverse, realistic, and challenging test images without altering model weights. We benchmark the performance of a diverse set of pre-trained models on our generated data and observe significant and consistent performance drops. We further analyze model sensitivity across different types of edits, and demonstrate its applicability at surfacing previously unknown class-level model biases in ImageNet. Code is available at https://github.com/virajprabhu/lance.

Recording Industry Association of America CEO Mitch Glazier says the Human Artistry Campaign aims to protect professional creators' rights to their performances, voices and likenesses after AI creates Drake and The Weeknd songs. A pilot program in the U.K. to enhance police capabilities via artificial intelligence has proven successful but could pave the way for a slide into a future of "predictive policing," experts told Fox News Digital. "Artificial intelligence is a tool, like a firearm is a tool, and it can be useful, it can be deadly," Christopher Alexander, CCO of Liberty Blockchain, told Fox News Digital. "In terms of the Holy Grail here, I really think it is the predictive analytics capability that if they get better at that, you have some very frightening capabilities." British police in different communities have experimented with an artificial intelligence-powered (AI) system to help catch drivers committing violations, such as using their phones while driving or driving without a seat belt.

When cars were invented, horses were replaced by engines; saddles were replaced by seats; and reins were replaced by a steering wheel and foot pedals. There were no seat belts, safety bumpers, anti-lock brakes or other safety equipment. The Model T had a top speed of 40-45 miles per hour, which -- considering the lack of safety equipment -- was pretty fast. That was more than 100 years ago. Technology has progressed through the years, from seat belts to safety bumpers, to anti-lock brakes, airbags and a host of other safety features.

A new spy-in-the-sky camera which identified 15,000 cases of drivers using mobile phones could also catch motorists eating, drinking, or not wearing a seatbelt, its makers say. Smart cameras linked to a new, automated system using artificial intelligence (AI) are being trialled on an undisclosed motorway - ahead of a blanket ban on holding a mobile device while driving which comes into force in early 2022. The cameras instantly analyse high-definition photos taken through the windscreen of passing cars, and Jenoptik, the enforcement technology firm testing the cameras in the UK, believes they will be crucial in providing evidence to prosecute offenders. The pilot scheme has been running since spring and it is hoped a wider rollout across the country will be possible next year. But Acusensus, the Australian firm who designed the cameras, admits that they can be used to catch motorists doing anything from eating, drinking, smoking, adjusting the radio or using navigation devices in a holder.

Driving is an intuitive task that requires skills, constant alertness and vigilance for unexpected events. The driving task also requires long concentration spans focusing on the entire task for prolonged periods, and sophisticated negotiation skills with other road users, including wild animals. These requirements are particularly important when approaching intersections, overtaking, giving way, merging, turning and while adhering to the vast body of road rules. Modern motor vehicles now include an array of smart assistive and autonomous driving systems capable of subsuming some, most, or in limited cases, all of the driving task. The UK Department of Transport's response to the Safe Use of Automated Lane Keeping System consultation proposes that these systems are tested for compliance with relevant traffic rules. Building these smart automotive systems requires software developers with highly technical software engineering skills, and now a lawyer's in-depth knowledge of traffic legislation as well. These skills are required to ensure the systems are able to safely perform their tasks while being observant of the law. This paper presents an approach for deconstructing the complicated legalese of traffic law and representing its requirements and flow. The approach (de)constructs road rules in legal terminology and specifies them in structured English logic that is expressed as Boolean logic for automation and Lawmaps for visualisation. We demonstrate an example using these tools leading to the construction and validation of a Bayesian Network model. We strongly believe these tools to be approachable by programmers and the general public, and capable of use in developing Artificial Intelligence to underpin motor vehicle smart systems, and in validation to ensure these systems are considerate of the law when making decisions.

Artificial intelligence (AI) is swiftly moving to the mainstream and emerging as a powerful engine for many organizations, prompting them to jump on the AI bandwagon to accelerate growth, innovate, and disrupt the market. The Indian government and industry bodies are extensively focusing on building an AI ecosystem that could help the country to develop and implement cutting-edge solutions (See: New CII forum formed to help build an AI ecosystem). However, according to a recent study, Indian enterprises need to beef up their risk-management capabilities to leverage AI's potential and dodge threats that may emerge after scaling up AI deployments. The study titled, Can enterprise intelligence be created artificially?, commissioned by global consulting major EY and trade association body Nasscom, says that 60% of Indian executive leaders believe that AI will disrupt their businesses within three years. Yet, only 25% of enterprises have deployed AI solutions.

San Diego's Lytx, the maker of DriveCam video monitoring technology for commercial truck fleets, has expanded its machine vision and artificial intelligence capabilities to detect when drivers are looking at cellphones on the road. The company's latest update to its in-cab camera technology recognizes when a driver is distracted by a mobile device or other behaviors. That triggers the camera to issue a warning and start recording video, which can be shared with fleet managers through an online portal. Others video telematics companies also have products that can detect cellphone use in the cab of commercial vehicles. But Lytx says its artificial intelligence technology has been developed using millions of miles of video data from its library collected over many years.

"There is but one truly serious question in philosophy, and that is suicide," wrote Albert Camus in The Myth of Sisyphus. This is equally true for a human navigating an absurd existence and an artificial intelligence navigating a morally insoluble situation. As AI-powered vehicles take the road, questions about their behavior are inevitable -- and the escalation to matters of life or death equally so. This curiosity often takes the form of asking whom the car should steer for should it have no choice but to hit one of a variety of innocent bystanders. There are a number of reasons this question is a silly one, yet at the same time a deeply important one.