Tesla Motors Inc.'s Autopilot has been in the news a lot of late, and not only because of the vehicles crashes involving (or not) the self-driving system or updates to it that would have prevented at least some of those crashes. On Wednesday, Tesla's erstwhile partner in its Autopilot development, Israeli chipmaker Mobileye, said it had decided to split with the Elon Musk-owned company because of concerns over Autopilot, with Tesla "pushing the envelope in terms of safety." Speaking to Reuters, Mobileye Chairman Amnon Shashua said of Autopilot: "It is not designed to cover all possible crash situations in a safe manner. It is a driver assistance system and not a driverless system." In response, a Tesla spokeswoman had initially said the company never advertised its Autopilot as a self-driving technology or its cars as autonomous vehicles.

Tesla faces new scrutiny in China about its vehicle Autopilot system after state television broadcast allegations that a man killed in a crash had activated the driver-assist feature of his car. The state broadcaster CCTV aired a report Wednesday about a January crash that killed 23-year-old Gao Yaning. The report included apparent dash cam footage of the car slamming into a slow-moving orange truck. An official interviewed in the report said the car's Autopilot feature was active at the time of the crash. CCTV reported Gao's family has sued Tesla in a Beijing court, though the lawsuit was not available in online court records.

President Obama may be urged to split the joint leadership of the National Security Agency and U.S. Cyber Command in favor of two distinct forces for cyberespionage and cyberwarfare as NSA officials announce that artificial intelligence will be a future part of U.S. cyber strategy. The potential move will be urged by the Pentagon and intelligence community and is driven by a sense that the two missions are fundamentally different as military hackers and cyberspies shouldn't compete to use the same networks and the job of leading both missions is too big for one person, according to the Washington Post. Defense Secretary Ashton Carter and Director of National Intelligence James Clapper are both reportedly pressing for the split, with Carter seeking to build Cyber Command into a full-fledged fighting force that has its own network accesses to conduct attacks, the post said while Clapper supports the idea in hopes that it will reduce tension over which force gets to use the networks . Last week, NSA leader Admiral Michael Rogers told an audience at the Intelligence & National Security Summit that ''he believes the two organizations should remain aligned but separate. In other news, earlier this week, Rogers told Congress that artificial intelligence will play a large role in the U.S. cyberspace strategy.

Machine learning has had fruitful applications in finance well before the advent of mobile banking apps, proficient chat bots, or search engines. Given high volume, accurate historical records, and quantitative nature of the finance world, few industries are better suited for artificial intelligence. There are more uses cases of machine learning in finance than ever before, a trend perpetuated by more accessible computing power and more accessible machine learning tools (such as Google's Tensorflow). Today, machine learning has come to play an integral role in many phases of the financial ecosystem, from approving loans, to managing assets, to assessing risks. Yet, few technically-savvy professionals have an accurate view of just how many ways machine learning finds its way into their daily financial lives.

The Marine Corps is looking for jobs that Marines currently do which robots could do better. "Being a tiny scout and slipping through doorways" is one of them. Yesterday marked 15 years to the day since the United States formally entered into a War on Terror, and after 15 long years of war, it's not hard to imagine that there must be a better way. For the United States Marine Corps, which is focused narrowly on the work of fighting America's wars, that innovation can't come soon enough. General Robert B. Neller, the Commandant of the Marine Corps, is launching an innovation challenge today, specifically asking Marines to figure out what aspect of their jobs could be better done by robots.

ON JUNE 1st 2009, an Air France airliner travelling from Rio de Janeiro to Paris flew into a mid-Atlantic storm. Ice began forming in the sensors used by the aircraft to measure its airspeed, depriving the autopilot of that vital data. So, by design, the machine switched itself off and ceded control to the pilots. Without knowing their speed, and with no horizon visible in a storm in the dead of night, the crew struggled to cope. Against all their training, they kept the plane's nose pointed upward, forcing it to lose speed and lift.

Over the past century, we have made massive strides in the rights revolution. These include rights for women, children, the LGBT community, animals, and so much more. Exploring the future, we must ask ourselves: what next? Will we ever fight for the rights of artificial intelligence? If so, when will this AI rights revolution occur, and what will it look like? We talk about protecting ourselves from AI, but what about protecting AI from us? To create a desirable future where humans and conscious machines are at peace with one another, treating our AI with respect may be a crucial factor in preventing the apocalypse Elon Musk, Stephen Hawking and Bill Gates fear.

Economist Milton Friedman was in favor of replacing the Federal Reserve with a computer. Maybe he was on to something. To the contrary, as a monetarist he wanted the Fed to increase the stock of money at a constant, 3%-5% rate a year, a task he thought a computer quite capable of performing. The Fed's lagged response to the 2008 financial crisis and an anemic recovery since then have given a new sense of urgency to the quest for a monetary rule or rules. For economists, the main benefit of a rule is to make monetary policy transparent and predictable. Everyone knows where the ship is headed and can plan accordingly.

The role of technology-fueled algorithms in shaping our society, and how to use them responsibly, is one of the topics I'll be exploring at the Next:Economy Summit in San Francisco, October 10-11. Some years ago, John Mattison, the chief medical information officer of Kaiser Permanente, the large integrated health provider, said to me, "The great question of the 21st century is going to be'Whose black box do you trust?'" Mattison was talking about the growing importance of algorithms in medicine, but his point, more broadly, was that we increasingly place our trust in systems whose methods for making decisions we do not understand. A lot of attention has been paid to the role of algorithms in shaping the experience of consumers. Much less attention has been paid to the role of algorithms in shaping the incentives for business decision-making. For example, there has been hand-wringing for years about how algorithms shape the news we see from Google or Facebook.

Immigration officials have deported Jose Vega-Zuniga four times, but he's always returned, and usually landed behind bars. But a recent DUI arrest culminated in a federal conviction this summer that carried up to 20 years in prison. So, prosecutors allege, he left of his own accord. Days after a federal judge issued a warrant for his arrest, Vega-Zuniga, 38, crossed the border near San Diego, sitting in the front passenger seat as his wife drove her pickup into Mexico, prosecutors said. On Wednesday, nearly a month after the brazen escape, federal authorities arrested his wife, Elba Soto, at her Moreno Valley home, according to the U.S. attorney's office in Los Angeles.