Hold onto your white collars, because the robotic revolution is going to cause the biggest transformation in the world's workforce since the industrial revolution, and are 7 jobs intelligent robots have firmly in their sight. While many of us are excited about the future and the conveniences intelligent algorithms and robots may provide in our lives, 80% of Americans believe their job will "probably" or "definitely" exist in its current form within the next 50 years even though in the same study 2/3 of Americans think robots will perform most of the work currently done by humans. Clearly, many of us are overly optimistic about our future selves and careers. And, be forewarned, the jobs predicted to be taken first aren't just entry-level service or manual labor jobs. And, the robotic revolution is happening now.

Uber posted a $708 million loss in the most recent quarter and said its head of finance is leaving the company, the latest executive to depart in what has been a very tough year to date. Uber told The Associated Press Thursday that its first-quarter loss was narrower than the $991 million loss it posted in the previous quarter. It had revenue of $3.4 billion, up 18 percent from the final three months of last year. Even before the announced departure of head of finance Gautam Gupta, which the company announced Thursday, Uber has struggled . The San Francisco company recently lost its head of communications, president and other senior executives as it faces allegations of sexism and sexual harassment in the workplace.

Robots are taking over the world's workforce--and why shouldn't they? For so many jobs, machines are faster, more consistent, smarter, and cheaper than you or I will ever be. As advances in artificial intelligence accelerate, robots will spread into all corners of the labor market: blue collar and white collar, service work and knowledge work alike. Along with their jobs, people will lose their incomes. When that happens, governments will also lose theirs.

We assess frequently-advanced arguments that automation will soon replace much of the work currently performed by lawyers. Our assessment addresses three core weaknesses in the existing literature: (i) a failure to engage with technical details to appreciate the capacities and limits of existing and emerging software; (ii) an absence of data on how lawyers divide their time among various tasks, only some of which can be automated; and (iii) inadequate consideration of whether algorithmic performance of a task conforms to the values, ideals and challenges of the legal profession. Combining a detailed technical analysis with a unique data set on time allocation in large law firms, we estimate that automation has an impact on the demand for lawyers' time that while measureable, is far less significant than popular accounts suggest. We then argue that the existing literature's narrow focus on employment effects should be broadened to include the many ways in which computers are changing (as opposed to replacing) the work of lawyers. We show that the relevant evaluative and normative inquiries must begin with the ways in which computers perform various lawyering tasks differently than humans.

After a successful 2016 first edition, our next summer school cohort on The Regulation of Robotics in Europe: Legal, Ethical and Economic Implications will take place in Pisa at the Scuola Sant'Anna, from 3- 8 July. When the Robolaw project came to an end – and we presented our results before the European Parliament – we clearly perceived that a leap was needed not only in some approaches to regulation but also in the way social scientists, as well as engineers, are trained. Indeed, in order to undergo technical analysis in law and robotics, without being lured into science fiction, an adequate understanding of the peculiarities of the systems being studied is required. A bottom-up approach, like the one adopted by Robolaw and its guidelines, is essential. Social scientists, and lawyers in particular, often lack such knowledge and thus tend to either make unreasonable assumptions – of technological developments that are farfetched or simply unrealistic – or misperceive what the pivoting point in the analysis is going to be.

A Facebook user has been convicted for Liking defamatory comments on Facebook. The comments, which were posted in 2015, accused Erwin Kessler, the president of animal rights group Verein gegen Tierfabriken, of racism and anti-Semitism. They were made during heated online discussions about which animal rights groups should be allowed to attend a vegan street festival, reports Tages Anzeiger newspaper. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Opinions expressed by Forbes Contributors are their own. The author is a Forbes contributor. The opinions expressed are those of the writer. Artificial intelligence and machine learning are now changing how Americans prepare their tax returns. Good thing computer intelligence doesn't get bored... Taxes do a lot of things. Used wisely, they can make life safer, healthier and worthwhile.

A while back, I was reading an article posted on Facebook, about Clovis people found alive and well living in Florida, with a picture featuring tribesmen (see below.) The quality of the picture was poor, and the URL was very suspicious: baynews9.com.ddwg.clonezone.link, as to make it appear that it was from Baynews9.com. It turned out that the picture (and thus the whole story) was fake: these people are real people living in Peru, see here for a Youtube video about them. My question is how to detect that a story is fake? The picture might have metadata embedded in it, allowing the data scientist to find the real source, unless it is a screenshot.

Holding artificial intelligence accountable for its actions is easier said than done, predicts a team of British researchers. In a paper published this week in the journal Science Robotics, researchers Sandra Wachter, Brent Mittelstadt, and Luciano Floridi point out that policing robotics is extremely difficult. And as artificial intelligence becomes more widespread, it's going to become a greater problem for society. There are three discrete reasons robots and A.I. are going to be hard to regulate: robots and artificial intelligences are extremely diverse in application, construction, and transparency. The problem we face in policing A.I. is exemplified with the Random DarkNet Shopper, an A.I. built by a group of Swiss artists to buy random items from the darknet in late 2014.

FAA officials said they were investigating to ensure the deliveries followed federal rules governing commercial drone use in populated areas. The FAA has rules that govern drone altitude, proximity to airports, and flying over people who are not part of the crew flying the drone. The organizers said they took care to comply with regulations.