A dating app set up to help supporters of President Donald Trump find each other in America's confusing dating landscape hit a snag on its first day in operation when a computer security specialist was able to download every piece of data on its servers. That included the first 1,600 users' photos and personal messages between people chatting online. Instead of disrupting the world of'DonaldDaters,' however, French security researcher Baptiste Robert blew the whistle publicly on Monday just hours after the product went live. 'You should not use this app,' he tweeted in a message to Trump fans. 'In 5 minutes, I managed to get: - the list of all the people registered - name - Photo - personal messages - token to steal their session.'

Mention the phrase "robot psychologist" and meme-worthy images of automatons or perhaps human-like robot hosts fictionalized by HBO's hit science-fiction series "Westworld" may come to mind. Yet part of what practicing psychologist do, such as administering certain types of psychological tests, assessments, and questionnaires, can be automated -- the technical capabilities exist today. And the technology is growing exponentially more sophisticated. For example, researchers at MIT have created an artificial neural network computer model that can detect depression from natural conversation [1]. Will robot psychologists be commonplace one day?

The newly formed White House Select Committee on Artificial Intelligence announced Wednesday that it will begin updating the National Artificial Intelligence Research and Development Strategic Plan. To kick off this task, the committee -- housed inside the National Science and Technology Council (NSTC) at the Office of Science and Technology Policy -- has issued a request for information seeking feedback on "whether the strategic plan should be revised and, if so, the ways in which it may be improved." At the core of the committee's interest in updating the plan, which was first published in 2016, is the belief that AI technology has advanced significantly in the past two years, and that U.S. policy around the technology should follow suit. "Given the rapid pace of AI research, it is critical that U.S. R&D investments remain at the forefront of science and technology," OSTP deputy CTO Michael Kratsios said in a statement. "By updating our strategic plan for AI R&D, we help ensure that the United States continues to lead in cutting edge AI innovations that address the most pressing AI challenges of today."

They were teenage computer geeks, bespectacled kids from Seattle who taught themselves programming from a Teletype terminal, learned the basics of business from Fortune magazine and dreamed of "a computer in every home and on every desk." Paul Allen was the self-described "idea man," the shy son of librarians. Bill Gates was the business-oriented partner who brought the ideas to life. And in 1975, when Mr. Allen was 22 and Gates was 19, the friends formed a company that became known as Microsoft and unleashed a personal-computer revolution that made both men fabulously wealthy. Mr. Allen left the company after only eight years, amid a bout with Hodgkin's disease and a deteriorating friendship with Gates.

This paper summarizes some of the technical background, research ideas, and possible development strategies for achieving machine common sense. Machine common sense has long been a critical-but-missing component of Artificial Intelligence (AI). Recent advances in machine learning have resulted in new AI capabilities, but in all of these applications, machine reasoning is narrow and highly specialized. Developers must carefully train or program systems for every situation. General commonsense reasoning remains elusive. The absence of common sense prevents intelligent systems from understanding their world, behaving reasonably in unforeseen situations, communicating naturally with people, and learning from new experiences. Its absence is perhaps the most significant barrier between the narrowly focused AI applications we have today and the more general, human-like AI systems we would like to build in the future. Machine common sense remains a broad, potentially unbounded problem in AI. There are a wide range of strategies that could be employed to make progress on this difficult challenge. This paper discusses two diverse strategies for focusing development on two different machine commonsense services: (1) a service that learns from experience, like a child, to construct computational models that mimic the core domains of child cognition for objects (intuitive physics), agents (intentional actors), and places (spatial navigation); and (2) service that learns from reading the Web, like a research librarian, to construct a commonsense knowledge repository capable of answering natural language and image-based questions about commonsense phenomena.

Facial recognition is about to become an increasingly common security measure at US airports. The Transportation Security Administration has published a roadmap for how it plans to integrate new biometric data systems into airports across the country. This includes plans to use fingerprints and facial scans at airport checkpoints, potentially leading to shorter lines. It could also mean travelers may be able to leave their passports at home in the future. Facial recognition is about to become more common at US airports.

Donald Daters, a new dating app for Trump supporters, has leaked users' personal information on the day of its launch. The app, which markets itself as an "American-based singles community connecting lovers, friends, and Trump supporters alike," had more than 1,600 users when it launched on Monday, according to security researcher Elliot Alderson, who was reportedly able to download the entire user database. Alderson shared his findings in a tweet, stating that the data he managed to gain access to included users' names, profile pictures, device types, private messages and access tokens that can be used to log into their accounts. You should not use this app. The Donald Daters app was founded by Emily Moreno--a former aide to Sen. Marco Rubio--who confirmed the leak on Tuesday.

Google chief executive Sundar Pichai has acknowledged publicly for the first time that the tech giant is considering a search engine for China, saying it could offer'better information' to people than rival services. Speaking at the Wired 25th anniversary conference late Monday, Pichai said Google leaders'feel obliged to think hard' about China despite criticism over the possibly of cooperating with Chinese censorship. 'We are always balancing a set of values,' he said, while adding that'we also follow the rule of law in every country.' Google CEO Sundar Pichai addressed questions about China and the company's work with the US military at the Wired 25th anniversary conference in San Francisco Pichai described Project Dragonfly, which has drawn criticism from Google employees, lawmakers and human rights activists, as an effort to learn about what Google could offer if it resumed its search operations in China. 'It turns out we would be able to serve well over 99 percent of the (search) queries,' he said onstage in a question-and-answer session.

Artificial intelligence (AI) is not just a new technology that requires regulation. It is a powerful force that is reshaping daily practices, personal and professional interactions, and environments. For the well-being of humanity it is crucial that this power is used as a force of good. Ethics plays a key role in this process by ensuring that regulations of AI harness its potential while mitigating its risks. AI may be defined in many ways.