The case between Uber and Waymo is over, and Uber is settling with Waymo over claims that the former stole trade secrets. The payout is a 0.34 percent equity stake in Uber to Waymo which totals around $245 million, according to CNBC. Waymo's accusation was that Uber stole trade secrets (some 14,000 files, allegedly) after engineer Anthony Levandowski left Uber to start Otto, the self-driving truck company that was then purchased by Uber in 2016 for $680 million. Levandowski was last on the witness list today, when Lidar and lasers were to be discussed, making the settlement announcement's timing all the more suspect. In a statement, Uber's new CEO, Dara Khosrowshahi apologized, saying that his company's acquisition (under previous leadership) "should have been handled differently."

BREAKING: Uber and Google's Waymo reached a surprise settlement in a lawsuit over self-driving technology. Uber will give Waymo a small stake in the ride-sharing company in the settlement that was reached on the fifth day of a high-profile lawsuit between the two companies. Uber's CEO in a letter expressed regret for how the company acquired technology at the heart of the lawsuit. After their first day in court, there is, it would seem, only one thing both sides of the Waymo-Uber trial agree on: The company that controls the autonomous vehicle market controls the future of transportation. In history's eyes, coming in second is the same as losing.

A high-profile legal fight is underway in a San Francisco courthouse between Uber and Google-spin-off Waymo, which accuses the ride-hailing company of stealing its self-driving car technology. Former Uber CEO Travis Kalanick leaves the Phillip Burton Federal Building on day three of the trial between Waymo and Uber Technologies on February 7, 2018 in San Francisco. SAN FRANCISCO -- Uber settled a lawsuit Friday that was brought against it by Waymo, Google's self-driving car company, ending a year-long skirmish over stolen trade secrets at the heart of autonomous car technology. After a week of testimony that shined a spotlight on often aggressive competitive tactics taken by former Uber CEO Travis Kalanick, new uber boss Dara Khosrowshahi apologized to its competitor. He agreed to pay a fine and promised that Uber would continue to clean up its act.

Uber's CEO says in a printed statement that the company doesn't believe trade secrets made their way from Waymo to Uber. He also says Uber is taking steps to make sure its self-driving vehicle research represents only Uber's work.

And of course, that's because they're not actually written for you, or any of the other billions of people who click to agree to their inscrutable legalese. Instead, like bad poetry and teenagers' diaries, those millions upon millions of words are produced for the benefit of their authors, not readers--the lawyers who wrote those get-out clauses to protect their Silicon Valley employers. But one group of academics has proposed a way to make those virtually illegible privacy policies into the actual tool of consumer protection they pretend to be: an artificial intelligence that's fluent in fine print. Today, researchers at Switzerland's Federal Institute of Technology at Lausanne (EPFL), the University of Wisconsin and the University of Michigan announced the release of Polisis--short for "privacy policy analysis"--a new website and browser extension that uses their machine-learning-trained app to automatically read and make sense of any online service's privacy policy, so you don't have to. 'What if we turned privacy policies into a conversation?'

After nearly a year of hearings, discovery, motions, and legal maneuverings, Waymo v. Uber, a bitter battle over autonomous tech trade secrets, finally kicked off this week. And in its opening days, the case has lived up to its billing as the first great trial of this self-driving century. Good thing our own Aarian Marshall has volunteered to slog through days that start at 7:30 am and involve unyielding wooden benches to bring us all the haps: Uber ex-CEO Travis Kalanick's well hydrated testimony, deleted and embarrassing texts, the peskily hard-to-nail-down definition of "trade secret," and more. If you care at all about what's going on here, follow her on Twitter. Elsewhere in the car world, more fights: Tesla reported a record loss while Elon Musk races to ramp up Model 3 production; Ram Trucks caught flak for a questionable Super Bowl ad; Uber is trying to win back drivers; and someone slapped a self-driving Chevy Bolt. Let's get you caught up.

You might be surprised to learn that a staggering $1 trillion is lost to bribery and corruption each year. The problem is such that a couple of crowdsourcing projects have emerged to try to stamp out the problem. One of the pioneers emerged in India. The project, called I Paid a Bribe, asks citizens to share instances where they have been forced to bribe officials to achieve outcomes that should not require such greasing of the wheels. The site allows you to report your experience in full detail, including where it happened, the service you were seeking, how much you paid, and the person who bribed you.

Police should look at using artificial intelligence to help cope with the scale of information involved in investigations and avoid the kinds of mistakes that have led to a string of collapsed rape trials, a senior police chief said on Wednesday. Sara Thornton, the chair of the National Police Chiefs' Council, said the volume of data held by individuals had massively increased the number of potential lines of enquiry that officers must pursue to understand a case. In recent months, several rape prosecutions have been dropped after it emerged that police had failed to hand over evidence that undermined their cases. Since then, the Crown Prosecution Service has announced a review of all current rape cases and Nick Ephgrave, the NPCC's lead on criminal justice, has admitted that police have a "cultural problem" with disclosure. The attorney general's guidelines on disclosure say that police have a duty to pursue all reasonable lines of investigation, leading both towards and away from a conviction, Thornton said.

Artificial intelligence and machine learning have allowed business to automate numerous processes, crunch large volumes of big data and find actionable insights better than humans. This, understandably, can make employees nervous. In this blog post, we explore the effects artificial intelligence and machine learning can have on employment, emerging employee roles and what the future may hold. In previous blog posts, we discussed big data and the effects it's having on many industries. As businesses deal with more variety and ever-increasing volumes of unstructured data, internal processes and the roles that manage them are rapidly changing.

Attorneys for Waymo, Alphabet's autonomous vehicle spinout, are nearing the end of their plaintiffs presentation against Uber in a trial that is likely to have broad ramifications for the common Valley practice of acqui-hiring talent. The case hinges on whether the jury believes Uber's assertion that the technology used in its autonomous car project was developed and acquired independently, in spite of the fact that the company almost assuredly received data on the same technology from Alphabet's servers as part of Uber's acquisition of Anthony Levandowski's company Otto. The first was the scope of the due diligence that Uber conducted during its negotiations with Otto. The second was whether the documents that Levandowski brought with him from Google were sufficiently vital in the development of Uber's autonomous car project to merit damages. Arguments ranged from the banal to the bizarre with a good portion of the proceedings taken up by a fairly lengthy explanation of Google's security measures (quite extensive as one would assume).