It is a truth universally acknowledged that a single chatbot, powered by artificial intelligence, will inevitably learn from human users to be a sexist pig. Microsoft learned this lesson the hard way in 2016 when it released the Twitter chatbot known as Tay. Within hours, Tay was tweeting sentences like "Zoe Quinn is a Stupid Whore" and "I fucking hate feminists and they should all die and burn in hell." A recent study published in the journal Science, conducted by researchers at Princeton University and the University of Bath, found machine learning inherently "absorbs stereotyped biases" from human internet users. That includes racial bias, as proved by Google search algorithms' propensity to prioritize images of white women and babies over people of color.

Dr. Yoshua Bengio, one of the key researchers credited with establishing the field of deep learning, announced today that he will serve as a strategy adviser for legal tech company Botler AI, a Montreal-based startup that runs a free chatbot to assist users as they navigate the legal procedures required for immigration. "I knew this was an idea that we needed to take to the next level," Bengio said in today's press release. "I want AI to be developed towards positive social impact and this is one place where beneficial AI must happen." The techniques pioneered by Bengio and others have led to breakthroughs in natural language comprehension and translation, abilities that are critical to this kind of chatbot. "Deep Learning could help provide affordable or even free legal services to people who might otherwise not be able to have access," he said.

Tim Cook's company could be expanding the use of Siri into the Messages app. Apple's latest patent application appears to be suggesting that in the future, Siri could be deeply integrated into Messages such that users would have the capacity to send messages to their friends while also communicating with Siri in a single interface. This Thursday, the U.S. Patent & Trademark Officer published a new patent application that was filed by the Cupertino giant on May 10, 2016. Such combination would enable users to do two things in one interface: communicate and command Siri via text and engage in conversations with friends. "In one example process, a graphical user interface (GUI) having a plurality of previous messages between a user of the electronic device and the digital assistant can be displayed on a display. The plurality of previous messages can be presented in a conversational view," wrote inventors Petr Karashchuk, Tomas A. Vega Galvez and Thomas R. Gruber.

Generous employee perks are as much a part of the tech industry as long work hours, office Nerf gun battles, and people overusing the word disruption. But while most firms only go so far as free meals, on-site yoga classes, and maybe the occasional indoor climbing wall, an artificial intelligence-driven hedge fund is taking things to the next level. Numerai'snew employee benefit is -- quite literally -- the coolest one we have heard about. You wont be able to enjoy it until youre dead. We are allowing employees cryonic body preservation as a benefit, Richard Craib, founder of Numerai, told Digital Trends.

RegTech has definitely become one of the areas to watch in 2017 and this trend is likely to continue in the years to come. Here are eight things you need to know. RegTech, short for regulatory technology, is the use of new technologies to address compliance and regulatory challenges not only more efficiently but also more effectively. There are now numerous RegTech startups globally looking at tackling pain points, from know-your-client (KYC) and onboarding to compliance monitoring and fraud detection, using some of the latest technologies, from big data analytics to artificial intelligence. Since the global financial crisis, banks across Asia and globally have dealt with the numerous new regulations by hiring thousands of compliance officers, thus solving an important problem by adding costly headcount.

Consumer protection agencies are charged with safeguarding the public from hazardous products, but the thousands of products under their jurisdiction make it challenging to identify and respond to consumer complaints quickly. In this paper, we propose a system to mine Amazon.com reviews to identify products that may pose safety or health hazards. Since labeled data for this task are scarce, our approach combines positive unlabeled learning with domain adaptation to train a classifier from consumer complaints submitted to an online government portal. We find that our approach results in an absolute F1 score improvement of 8% over the best competing baseline. Furthermore, when we apply the classifier to Amazon reviews of known recalled products, we identify safety hazard reports prior to the recall date for 45% of the products. This suggests that the system may be able to provide an early warning system to alert consumers to hazardous products before an official recall is announced.

The two largest semiconductor companies in the world, Intel (NASDAQ:INTC) and Qualcomm (NASDAQ:QCOM), share a long rivalry, even though they specialize in and dominate different areas of the global processor market. So let's examine Qualcomm and Intel in three important areas to find which stock looks like the better buy today. Through the power of their business franchises, Intel and Qualcomm each earn a clean bill of financial health. The companies excel in these measures of financial fortitude in different regards. When it comes to net cash -- financial shorthand for cash and investments minus debt -- Qualcomm's $17.1 billion in net cash is miles ahead of Intel's $8.4 billion in net debt.

Ladies and gentlemen, thank you for standing by, and welcome to Nuance's Second Quarter Fiscal 2017 Conference Call. At this time, all lines are in a listen-only mode. Later, there'll be an opportunity for your questions, and instructions will be given at that time. As a reminder, this conference is being recorded. With us today from Nuance are Chairman and CEO, Paul Ricci; CFO, Dan Tempesta; EVP of Corporate Strategy and Development, Bruce Bowden; and Director of Investor Relations, Christine Marchuska. Now, I would like to turn the call over to Ms. Marchuska. Before we begin, I remind, everyone, our discussion this afternoon includes predictions, estimates, expectations, and other forward-looking statements. These statements are subject to risks and uncertainties that could cause material differences in our actual results. Please refer to our recent SEC filings for a discussion of these risks.

If you haven't heard (maybe you've been toiling in Elon's tunnels?), Uber has had a rough start to 2017. The Department of Justice just launched a criminal probe into the company's use of "Greyball," a system it used to identify regulatory officials and block them from booking rides. In January, it lost riders who objected to CEO Travis Kalanick's (soon abandoned) seat on President Trump's economic council. In late February, former Uber engineer Susan Fowler published an explosive blog post, accusing Uber of fostering a misogynistic corporate culture. A few days later, Google autonomous driving spinoff Waymo filed a lawsuit alleging Uber boosted its self-driving program by stealing its trade secrets.

On 12th January, MEPs voted for a set of regulations to be drafted to govern the use and creation of robots and artificial intelligence, hot off the back of the UK government setting up a commission to look at the issues surrounding artificial intelligence. Across continents, the law is unclear and differing and is likely to evolve in this area. In late 2016, in the UK, the Commons' Science and Technology Committee published a report on robotics and artificial intelligence. The report recommended that a standing Commission on Artificial Intelligence be established to examine the social, ethical and legal implications of recent and potential developments in AI. As of 12th January, MEPs from the parliament's legal affairs committee passed Mady Delvaux's report into robotics and AI.