Tesla is recalling more than two million cars in the United States, nearly all of its vehicles sold there, after a federal regulator said defects with the autopilot system pose a safety hazard. In a recall filing on Wednesday, the carmaker said autopilot software system controls "may not be sufficient to prevent driver misuse". "Automated technology holds great promise for improving safety but only when it is deployed responsibly," said a spokesperson for the National Highway Traffic Safety Administration (NHTSA), which has been investigating the autopilot function for more than two years. "Today's action is an example of improving automated systems by prioritizing safety." The decision marks the largest-ever recall for Tesla, as autonomous vehicle development in the US hits a series of snags over safety concerns.

Everyone's favorite "self-driving" car is experiencing technical issues…again. On Wednesday, Tesla issued a recall for over 2 million vehicles due to reported insufficiencies in the software designed to monitor a driver's attention while using the Autopilot function. It comes after a two-year investigation by the National Highway Traffic Safety Administration of over 1,000 crashes involving the self-driving function. A recent Washington Post story also detailed at least eight Tesla crashes on roads where Autopilot should not have been engaged. Thankfully, there appears to be an easy fix: a software update that the company will reportedly provide free of charge.

Every day countless headlines emerge from myriad sources across the globe, both warning of dire consequences and promising utopian futures – all thanks to artificial intelligence. AI "is transforming the workplace," writes the Wall Street Journal, while Fortune magazine tells us that we are facing an "AI revolution" that will "change our lives." But we don't really understand what interacting with AI will be like – or what it should be like. It turns out, though, that we already have a concept we can use when we think about AI: it's how we think about animals. As a former animal trainer (albeit briefly) who now studies how people use AI, I know that animals and animal training can teach us quite a lot about how we ought to think about, approach and interact with artificial intelligence, both now and in the future.

Every day countless headlines emerge from myriad sources across the globe, both warning of dire consequences and promising utopian futures – all thanks to artificial intelligence. AI "is transforming the workplace," writes the Wall Street Journal, while Fortune magazine tells us that we are facing an "AI revolution" that will "change our lives." But we don't really understand what interacting with AI will be like – or what it should be like. It turns out, though, that we already have a concept we can use when we think about AI: it's how we think about animals. As a former animal trainer (albeit briefly) who now studies how people use AI, I know that animals and animal training can teach us quite a lot about how we ought to think about, approach and interact with artificial intelligence, both now and in the future.

The following essay is reprinted with permission from The Conversation, an online publication covering the latest research. Every day countless headlines emerge from myriad sources across the globe, both warning of dire consequences and promising utopian futures – all thanks to artificial intelligence. AI "is transforming the workplace," writes the Wall Street Journal, while Fortune magazine tells us that we are facing an "AI revolution" that will "change our lives." But we don't really understand what interacting with AI will be like – or what it should be like. It turns out, though, that we already have a concept we can use when we think about AI: It's how we think about animals.

Every day countless headlines emerge from myriad sources across the globe, both warning of dire consequences and promising utopian futures – all thanks to artificial intelligence. AI "is transforming the workplace," writes the Wall Street Journal, while Fortune magazine tells us that we are facing an "AI revolution" that will "change our lives." But we don't really understand what interacting with AI will be like – or what it should be like. It turns out, though, that we already have a concept we can use when we think about AI: It's how we think about animals. As a former animal trainer (albeit briefly) who now studies how people use AI, I know that animals and animal training can teach us quite a lot about how we ought to think about, approach and interact with artificial intelligence, both now and in the future.

Every day countless headlines emerge from myriad sources across the globe, both warning of dire consequences and promising utopian futures – all thanks to artificial intelligence. AI "is transforming the workplace," writes the Wall Street Journal, while Fortune magazine tells us that we are facing an "AI revolution" that will "change our lives." But we don't really understand what interacting with AI will be like – or what it should be like. It turns out, though, that we already have a concept we can use when we think about AI: It's how we think about animals. As a former animal trainer (albeit briefly) who now studies how people use AI, I know that animals and animal training can teach us quite a lot about how we ought to think about, approach and interact with artificial intelligence, both now and in the future.

Since Tesla launched its Autopilot function last year, the system has come under scrutiny following two fatal crashes. Now Germany wants Tesla to stop advertising it as the Autopilot function, because it leads to false customer expectations, the regulators have said. The drive-assistance system requires drivers to pay attention and operate the car at all times, but some drivers involved in crashes have admitted to thinking their cars were'self-driving'. Since Tesla launched its Autopilot function last year, the system has come under scrutiny following two fatal crashes. Now Germany wants Tesla to stop advertising it as the'autopilot' function on its cars because it leads to false customer expectations The Federal Motor Transport Authority (KBA) has written to Elon Musk's company with the request to no longer use the'misleading' term Autopilot for the driver assistance system of the car.

A Tesla electric car caught fire during a promotional tour in southwest France, and those aboard escaped unharmed. Tesla said in a statement that it is'working with the authorities to establish the facts' about Monday's fire in Bayonne. The driver was quoted in local newspaper Sud Ouest as saying he answered a Facebook ad offering test drives of the Model S sedan. The fire was captured by a passing motoring journalist. The driver was quoted in local newspaper Sud Ouest as saying he answered a Facebook ad offering test drives of the Model S sedan.

In May, a Tesla S car in Autopilot mode tragically crashed, killing the car's driver, after it failed to recognise a white trailer in its path. The devastating event led people to question the safety of autonomous feature, and whether someone could sabotage a self-driving vehicle. Researchers have now used off-the-shelf materials to trick a Tesla car's Autopilot sensors, showing just how easy it is to hack the technology into missing objects in its path. By infiltrating all three, the researchers found that only the radar attacks have the potential to cause a high-speed collision. The researchers jammed the radio signals used by the Tesla car's radar sensor, which is located under the front grill, and showed that this caused a car in its path to'disappear'.