The rapid evolution of Artificial Intelligence (AI)-based Virtual Assistants (VAs) e.g., Google Gemini, ChatGPT, Microsoft Copilot, and High-Flyer Deepseek has turned them into convenient interfaces for managing emerging technologies such as Smart Homes, Smart Cars, Electronic Health Records, by means of explicit commands,e.g., prompts, which can be even launched via voice, thus providing a very convenient interface for end-users. However, the proper specification and evaluation of User-Managed Access Control Policies (U-MAPs), the rules issued and managed by end-users to govern access to sensitive data and device functionality - within these VAs presents significant challenges, since such a process is crucial for preventing security vulnerabilities and privacy leaks without impacting user experience. This study provides an initial exploratory investigation on whether current publicly-available VAs can manage U-MAPs effectively across differing scenarios. By conducting unstructured to structured tests, we evaluated the comprehension of such VAs, revealing a lack of understanding in varying U-MAP approaches. Our research not only identifies key limitations, but offers valuable insights into how VAs can be further improved to manage complex authorization rules and adapt to dynamic changes.

Japan is strengthening its efforts to get automakers to develop smart cars whose safety and entertainment systems can be managed by cloud technology, an area where they are falling behind Chinese and U.S. rivals. The government has set a goal of Japanese companies accounting for 30% of the market for what are known as "software defined vehicles," or SDVs, in 2030 -- when it estimates global sales will reach 35 million to 41 million units. The Ministry of Economy, Trade and Industry will provide financial support and help nurture workers such as information technology engineers by partnering with universities and launching reskilling courses, it said.

Mozilla recently reported that of the car brands it reviewed, all 25 failed its privacy tests. While all, in Mozilla's estimation, overreached in their policies around data collection and use, some even included caveats about obtaining highly invasive types of information, like your sexual history and genetic information. As it turns out, this isn't just hypothetical: The technology in today's cars has the ability to collect these kinds of personal information, and the fine print of user agreements describes how manufacturers get you to consent every time you put the keys in the ignition. "These privacy policies are written in a way to ensure that whatever is happening in the car, if there's an inference that can be made, they are still ensuring that there is protection, and that they are compliant with different state laws," Adonne Washington, policy council at the Future of Privacy Forum, said. The policies also account for technological advances that could happen while you own the car.

AI-powered cars are, in a strange way, here and not here. The technology works--millions of miles have been traversed by true self-driving vehicles in the past decade--and it shows up in places like Tesla. Most of us don't realize just how close AI is to becoming the future of driving. The price of AI modeling software and hardware, as well as the problem of implementation, make mainstream adoption move much slower than some of us would want. Although most of us think of AI-powered cars as using massive computers inside relatively complex vehicles, that's not always the case.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner How Company is Using #BigData in Self Driving Cars? Big data helps to reduce costs, identify market opportunities, satisfy customers, develop new products and improve its cars. The new generation of autonomous self-driving cars, whether electric or not, are equipped with hundreds of sensors and surrounded by smart technologies. Recent advances in the internet of things, smart cities and wireless communication enable these smart cars to communicate with the infrastructure and other smart cars. Autonomous connected vehicles and their interaction with smart cities will increase the amount of data that is generated and shared.

MUNICH – Volkswagen head Herbert Diess on Sunday said autonomous cars, not electric vehicles, were the "real game-changer" for the auto industry, which is facing the end of combustion engines in Europe by 2035. Diess' comments signal the pace at which the 62-year old is trying to transform Europe's largest carmaker by basically saying that the shift toward battery-powered electric vehicles, which still needs to be backed up by actual sales, was sealed. "Autonomous driving is really going to change our industry like nothing else before," Diess said in Munich ahead of the official opening of the IAA Mobility Show, adding the shift towards electrified cars was "kind of easy" in comparison. "The real game-changer is software and autonomous driving." Diess spoke as environmental pressure on the auto sector is ramping up, with the European Commission in July proposing an effective ban on the sale of new petrol and diesel cars from 2035.

On February 25, the Shanghai Government announced its Implementation Plan for Accelerating the Development of the New Energy Automobile Industry (2021-2025). It proposes that by 2025, smart cars with conditional self-driving functionalities shall enter large-scale production, significant progress will be made to set up a standard system for testing, demonstrating smart cars. City officials noted that so far, Shanghai has opened 560 kilometers of test roads. A total of 152 vehicles from 22 companies have been issued with road test and demonstration qualifications, which make Shanghai the first amongst other Chinese cities. We know you don't want to miss any news or research breakthroughs. Subscribe to our popular newsletter Synced Global AI Weekly to get weekly AI updates.

Artificial Intelligence (AI) is the new reason for massive success in the automobile industry. With the advent of the AI operating system, the industry is creating more innovative smart devices and programmes on a regular basis. Apple was motivated to invest in the autonomous driving system and launch it as Apple's self-driving cars. Project Titan was formed in 2014 and still searching for loopholes for seven years before the ultimate launch. The unique feature of Apple's self-driving cars is the power to an expensive investment on autonomous driving machine.

According to reports from Chicago's ABC7 and ABC25 in West Palm Beach, Fla., a car driven by 57-year-old Cathy Bernstein automatically called 911 to report a crash. The call was part of a safety feature designed to help first responders locate people who may have lost consciousness in crashes. That seems to have given dispatchers all the information they needed to pinpoint the location of the vehicle -- and find the alleged hit-and-run driver -- without ever having to talk to a person. In fact, talking to a person didn't help at all: in an audio clip of a 911 call obtained by the Florida station, Bernstein denied to a skeptical dispatcher that there even been any accident at all.

Self-driving cars could be hijacked through outside forces able to change the Artificial Intelligence (AI) systems that power the vehicles, new research has claimed. A report from McAfee says that a vehicle's AI system can be manipulated, possibly impacting the future and safety of autonomous vehicles. This process, which McAfee calls "model hacking", is able to completely override the software systems within vehicles that are available to buy today, including models from Tesla. McAfee's Advanced Threat Research (ATR) and Advanced Analytics Teams were able to use "minuscule modifications" to create a black-box targeted attack on the Mobileye EyeQ3 camera system found in many modern vehicles, including certain Tesla models. This attack allowed the researchers to cause a manipulate the AI technology within a Tesla model S implementing Hardware pack 1 to misclassify a speed limit sign that read 35, making it autonomously speed up to 85 mph.