Genevieve Carlton holds a Ph.D. in history from Northwestern University. After earning her doctorate in early modern European history, Carlton worked as an assistant professor of history. Computer science majors work as software developers, security analysts, and web developers. But what if you want something a little different? The most badass jobs in computer science will push the field's boundaries and challenge you.

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. In about 30 seconds, Polisis can read a privacy policy it's never seen before and extract a readable summary, displayed in a graphic flow chart, of what kind of data a service collects, where that data could be sent, and whether a user can opt out of that collection or sharing.

People have always balked at reading terms of service -- the acres of fine print on the bottom of insurance policies and product agreements and in pop-ups on apps and websites. It's so much easier and quicker to click "I agree" than to wade through hours of boring legalese. A 2016 academic study found that 98 percent of people signed up for a fictitious free Wi-Fi service, NameDrop, even though clause 2.3.1 of its terms states: "By agreeing to these Terms of Service, and in exchange for service, all users of this site agree to immediately assign their first-born child to NameDrop, Inc." In this age of big data, AI, and machine learning, there must be a better way for companies to present -- and for consumers to manage -- the small print. A sense of urgency to develop such systems is rising.

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?'

While AI is getting powerful very quickly, and more and more jobs are threatened with automation, we are not yet at the point of science fiction where we are communicating as equals with robots. Sure, some robots already understand the concepts of trust and regret, but machines can't yet think, reason, or communicate at an advanced level. Microsoft's Tay Bot--which tried to learn humanity from reading Twitter and quickly became an angry racist--serves as a clear example of the limitations of today's technology. She can can give you the weather forecast for your zip code but can't describe her feelings on mass incarceration or even comb through the fine print of that contract you've been asked to sign. Teaching machines to think, and behave, more like us is what Mo Musbah and the team at Maluuba are working on.

I am the one called KayEl. I provide century was fascinated but confused by what answers to your queries and hence I am the it saw and wanted answers to a few questions. The alien approached to be logically correct; and (3) I will each in turn. I am Spock, a knowledge representation Then, in a soft voice learned from automobile and reasoning service. I provide answers commercials, the machine added quickly, to your queries.