A little more than a month later, on April 29, 1934, while Ruth was helping care for her sister's sick child, someone stole the prized automobile right out of the Warren's driveway. When it was returned that August by a federal court, the couple found their car in disarray. The car thieves--a "swarthy" man and "girl of slight stature," as she described them to the papers--had put 7,500 miles on the odometer in just 26 days of driving. Stranger still, the once-pristine vehicle was riddled with bullet holes and covered in blood. But what else would you expect from the last car stolen by Bonnie Parker and Clyde Barrow?

Regulators are beginning to teach robots who's the boss. After spending billions of dollars on cutting-edge artificial intelligence technologies, Europe's banks and insurers face tougher scrutiny of the tools they use to help root out fraud, check borrowers' creditworthiness and automate claims decisions. European Union General Data Protection Regulation (GDPR) rules starting this week will stress human oversight and consumer protection, which may hamper companies trying to build the tools of the future. "Companies developing AI technologies will have to consider and embed the data protection issues into the design process," said David Martin, senior legal officer at Brussels-based consumer advocate Beuc. "It's not something where they can just tick a box at the end."

Andy Dufresne, the wrongly convicted character in The Shawshank Redemption, provocatively asks the prison guard early in the film: "Do you trust your wife?" It's a dead serious question regarding avoiding taxes on a recent financial windfall that had come the guard's way, and leads to events that eventually win freedom for Andy. And it's also a dead serious question being asked today with respect to AI. At this point we all recognize that successful deployment of AI is going to come down to something much more fundamental than the technical aspects of algorithms, neural networks and machine learning. It's going to come down to trust. Do we trust the black box calculations of AI? Do we trust it to drive our cars, diagnose our illnesses, and manage our finances? We have the same issue of trust with objects, but with a different set of circumstances.

Amazon drew the ire of the American Civil Liberties Union on Tuesday over a facial-recognition system offered to law-enforcement agencies that the advocacy group says can be used to violate civil rights. In marketing materials obtained by the group, Amazon Web Services says its Rekognition system uses artificial intelligence to quickly identify people in photos and videos, enabling law enforcement to track people. "Amazon's Rekognition raises profound civil liberties and civil rights concerns," the group said in a statement. "Today, the ACLU and a coalition of civil rights organizations demanded that Amazon stop allowing governments to use Rekognition." Law enforcement agencies in Florida and Oregon are using the service for surveillance, according to the ACLU.

The biggest danger AI poses today isn't the potential of killer robots or Roko's Basilisk--it's the potential to scale bias and racism to the size of the internet. The latest example of this is an "ethnicity detection" algorithm marketed by Moscow-based NtechLab as an "upcoming feature" to the facial recognition technology it sells. The new algorithm which promises to accurately look at images of people and determine their ethnic background; an image that was on the site, but has since been removed due to public backlash, showed classifications like "European," "African," and "Arabic." While the image has been removed, ethnicity recognition is still listed as an upcoming product on the NtechLab site. Privacy advocates like the American Civil Liberties Union already decry the use of facial-recognition AI in most cases, making the case that widespread adoption of the technology would mean we would live under constant surveillance by police or large tech companies.

A USC-led study of violent protest has found that moral rhetoric on Twitter may signal whether a protest will turn violent. The researchers also found that people are more likely to endorse violence when they moralize the issue that they are protesting--and when they believe that others in their social network moralize that issue, too. "Extreme movements can emerge through social networks," said the study's corresponding author, Morteza Dehghani, a researcher at the Brain and Creativity Institute at USC. "We have seen several examples in recent years, such as the protests in Baltimore and Charlottesville, where people's perceptions are influenced by the activity in their social networks. People identify others who share their beliefs and interpret this as consensus. In these studies, we show that this can have potentially dangerous consequences."

Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. Remember when Amazon mostly just sold books? Since its founding in 1994, the sprawling online marketplace has ballooned into one of the most powerful companies in the world. Now Amazon offers batteries, clothes, milk and eggs, hosting for your website, streaming movies--and now real-time facial recognition powers for police surveillance. In November 2016, Amazon released a new service called Rekognition, which can "process millions of photos a day" to identify people and objects in the images.

Artificial intelligence (AI) is a term that is thrown around a lot lately. People are wondering what it means, how it will be used and how it will impact our jobs. Some eDiscovery tools – primarily those in the analytics space and assisting with technology assisted review – are employing AI, or at least an early version of it. In light of this, along with rapid development on the machine learning front in recent years, we sat down with our President and CEO Brian Schrader for a conversation on the future of artificial intelligence. Mark: Brian, how do you envision the future of artificial intelligence – for eDiscovery, especially?

Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. Police in China have nabbed three fugitives using facial-recognition technology at a series of concerts in Eastern China, the Wall Street Journal reports. Police have employed the surveillance tool over the past two months at performances by Hong Kong pop star Jacky Cheung, also known by his nicknames "God of Songs" and, more recently, "The Nemesis of Fugitives." In one case, police were able to use a facial-recognition system to identify a 31-year-old man in a crowd of 60,000 concertgoers, according to state media. In another, the technology recognized a man who allegedly failed to pay for $17,000 worth of potatoes in 2015 and had since then been living under a pseudonym.

Amazon has defended giving its Big Brother-style facial recognition tool to police following an outcry from civil rights groups. The response comes just hours after it emerged Amazon's facial recognition tool, dubbed'Rekognition', is being used by law enforcement agencies in Oregon and Florida. However, the American Civil Liberties Union (ACLU) warns Rekognition could be misused to identify and track innocent people in real-time. It claims the software guide for the AI'reads like a user manual for authoritarian surveillance'. But Amazon said'quality of life would be much worse' if technologies such as this were blocked because of fears they may be misused.