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Regulating AI – The Road Ahead

@machinelearnbot

Summary: With only slight tongue in cheek about the road ahead we report on the just passed House of Representative's new "Federal Automated Vehicle Policy" as well as similar policy just emerging in Germany. Just today (9/6/17) the US House of Representatives released its 116 page "Federal Automated Vehicles Policy". Equally as interesting is that just two weeks ago the German federal government published its guidelines for Highly Automated Vehicles (HAV being the new name of choice for these vehicles). On the 6 point automation scale in which 0 is no automation and 5 is where the automated system can perform all driving tasks, under all conditions, the new policy applies to level 3 or higher (though the broad standards also apply to the partial automation in levels 1 and 2).


Department Of Transportation Rolls Out New Guidelines For Self-Driving Cars

NPR

A Ford Fusion development vehicle equipped with autonomous controls, seen at a test facility Tuesday in Ann Arbor, Mich. A Ford Fusion development vehicle equipped with autonomous controls, seen at a test facility Tuesday in Ann Arbor, Mich. The Department of Transportation released its revised guidelines on automated driving systems Tuesday, outlining its recommended -- but not mandatory -- best practices for companies developing self-driving cars. On the same day the new plan relaxed guidance on Level 2 vehicles, the National Transportation Safety Board faulted a Tesla automated driving system for playing a "major role" in a collision that killed its test driver last year. "Just as the NTSB says the government and industry should be stepping up its efforts to ensure the safety of Level 2 automated vehicles," he added, "the Department of Transportation and Secretary Chao are rolling back their responsibility in that space."


Automated vehicle security must be addressed: House of Reps committee

ZDNet

Issues around data ownership and security, safety ethics, legal liability and insurance, and the future of employment need to be addressed before Australians will be comfortable with automated vehicles, the House of Representatives Industry, Innovations, Science and Resources Committee has said. After conducting a six-month enquiry into the social issues relating to land-based automated vehicles, the committee has announced its 10 recommendations, with an emphasis on data security. The Industry, Innovations, Science and Resources Committee also recommended continued funding of automated vehicle trials with a public transport application in both metropolitan areas and regional locations. The national body or cross-agency taskforce, once established, would address concerns around data security, safety ethics, legal liability and insurance, transport accessibility, and the impact of automated vehicles on employment.


Artificial intelligence helps to keep tired drivers awake

@machinelearnbot

They have come up with an artificial intelligence platform designed to keep the driver comfortably awake at all times. Assessing the offering from Panasonic, PC Magazine notes there are five levels of drowsiness that the device can note: Not drowsy, Slightly drowsy, Drowsy, Very drowsy, Seriously drowsy. The Japanese developed device takes the form of an in-car system which monitors and detects driver drowsiness as it comes on and then reacts. The traffic in Iwo road at this time of the year is heavy.


How big data is transforming the automotive industry

#artificialintelligence

By 2020, the connected car market report states that connected car services will account for approximately $40 billion annually. These services include infotainment, navigation, fleet management, remote diagnostics, automatic collision notification, enhanced safety, usage based insurance, traffic management and, lastly, autonomous driving. The root of these applications is big data, as increasing amounts of data are collected from remote sensors; this information is being interpreted and leveraged to transform the automotive industry into one of automation and self-sufficiency. By using the information gleaned from smart sensors, the industry can benefit from compiling custom insurance plans, monitoring driver behaviour, performance and safety.


Lyft Shifts Gears With New Driverless-Car Division

Wall Street Journal

The new division marks a shift for Lyft, which had favored partnerships with self-driving vehicle developers including Alphabet Inc.'s Waymo, NuTonomy Inc., General Motors Co. GM -0.93% and Tata Motors Ltd.'s Jaguar Land Rover. Later this year, NuTonomy and GM plan to test their cars on Lyft's network. "This isn't about bringing one car or two cars or a hundred cars onto the streets of San Francisco--this is about bringing hundreds of thousands of cars" to Lyft's network," Mr. Kapoor said. Uber, which denies the allegations, has sought to be a leader in self-driving cars, rolling out tests in Pittsburgh, San Francisco and Tempe, Ariz. Lyft is opening a new office in Palo Alto, Calif., in a building once used by video-calling company Skype, and hopes that base will help it attract engineering talent, said Director of Product Taggart Matthiesen.


car hacking

#artificialintelligence

Millions of cars at risk as keyless entry systems can be hacked, report says Technology. Tens of millions of cars are made vulnerable to theft by their keyless entry systems, according to a report by computer security experts. They have devised two attacks: One that target cars of the Volkswagen Group (VW, Seat, Škoda, and Audi), and includes recovering the cryptographic algorithms and keys from electronic control units that allows them to clone the signal that will open the car, and Another that takes advantage of the cryptographically weak cipher in the Hitag2 rolling code scheme used by Alfa Romeo, Chevrolet, Peugeot, Lancia, Opel, Renault, Ford and other car makers. "Vehicle manufacturers expected the data/systems service providers to provide the security protection and the providers expected the manufacturers to do this" Are we really bothered though?


How to make self-driving cars safe. Rules and regulations.

#artificialintelligence

Last year, a Florida man became the first person to die in a crash involving autonomous driving technology. The National Highway Traffic Safety Administration (NHTSA) has the authority to write what are known as federal motor vehicle safety standards (FMVSS). According to Husch, state regulations cover vehicle use, including licensing, registration, traffic safety, law enforcement, and insurance liability. To prevent this, the NHTSA last year issued a report, "Federal Automated Vehicle Policy," that lays out guidelines for the states to follow in crafting their rules.


New law clears the way for driverless cars on Texas roads

#artificialintelligence

Greg Abbott signed a bill Thursday that signals to Google, Uber and carmakers that they are welcome to test self-driving cars on the state's roads and highways without a driver behind the wheel. Does that mean the auto manufacturer will soon be operating empty vehicles on Texas highways? AAA Texas would have preferred that the new state law required a human operator be in the vehicle. Disclosure: Google, Uber, General Motors, Toyota and AAA Texas have been financial supporters of The Texas Tribune.


Cognitive Intelligence: the Next Wave of Business - RTInsights

#artificialintelligence

Cognitive computing, used in artificial intelligence (AI) applications, enables machines to learn from data by applying statistical models to understand patterns from occurrences over time. Along with drone package delivery, cognitive computing will even facilitate simulated drone missions and drone fleet coordination by dynamically generating mission plans and optimizing them continuously to ensure accuracy and efficient use of resources. The combination of cloud and cognitive computing and advancements in AI algorithms will provide immense computing power in the areas of temporal reasoning, geospatial reasoning, natural language processing and semantic search, thereby moving marketing platforms from a B2C to a B2I(business 2 individual) model. The combination of cloud computing, big data, neural networks and mobile computing will make it possible for brands to understand the context in which its users operate.