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"Automatically produced texts use language models derived from statistical analysis of vast corpuses of human-generated text to produce machine-generated texts that can be very hard for a human to distinguish from text produced by another human. These models could help malicious actors in many ways, including generating convincing spam, reviews, and comments -- so it's really important to develop tools that can help us distinguish between human-generated and machine-generated texts."

""Each time we build new ways of doing something close to human level, it allows us to automate or augment human labor," said Jeremy Howard, founder of Fast.ai, an independent lab based in San Francisco that is among those at the forefront of this research. "This can make life easier for a lawyer or a paralegal. But it can also help with medicine." It may even lead to technology that can - finally - carry on a decent conversation. But there is a downside: On social media services like Twitter, this new research could also lead to more convincing bots designed to fool us into thinking they are human, Howard said."

"Facebook is mired in a series of controversies about the curation of its news feed, from its broadcasting live killings, to editing out an iconic photo of the Vietnam war, to accusations of political bias. It recently tried to smooth the process out by firing its human editors … only to find the news feed degenerated into a mass of fake and controversial news stories."

"Google has pledged to continue developing advanced programs using machine learning to combat the rise of extremist content, after it found that it was both faster and more accurate than humans in scrubbing illicit content from YouTube."

"Welcome, real human A troll is a fake social media account, often created to spread misleading information. Each of the following 8 profiles include a brief selection of posts from a single social media account. You decide if each is an authentic account or a professional troll. After each profile, you'll review the signs that can help you determine if it's a troll or not."

"An automated process is better-suited for a variety of other machine-readable forms of identification, said Vahid Motevalli, a professor at Tennessee Tech University and a flight security expert. For example, a person can't read bar codes, but even if they could, they wouldn't be as efficient as an automated process. A machine can almost always check in more people per hour than a security official, meaning security lines would move much faster."

"Facebook announced late Friday that it had eliminated jobs in its trending module, the part of its news division where staff curated popular news for Facebook users. Over the weekend, the fully automated Facebook trending module pushed out a false story about Fox News host Megyn Kelly, a controversial piece about a comedian's four-letter word attack on rightwing pundit Ann Coulter"

"It's fast getting to the point where it feels unreasonable to solely blame the famous and the industries that promote them. These days, people are going to plastic surgeons wanting to resemble their own modified avatars from selfies, rather than celebrities. If you like, the fiction of Hollywood perfection has been democratised. Indeed, it's interesting how, even as "improved" celebrities are mocked, or, as with Pike, call it out themselves, the modification of our own images continues unhindered, save for the occasional "#nofilter" humblebrag. It's gone beyond old-school catfishing (pretending to be someone else) to the point where people are essentially deep-faking themselves. And it's all just a bit of fun. Until it isn't. The desire to look better is all too human but are we inexorably moving towards the moment when we lose our grip on what we actually look like?"

"For the first time, BBC News published a news story for every constituency that declared election results overnight - all written by a computer. It was the BBC's biggest test of machine-generated journalism so far. Each of nearly 700 articles - most in English but 40 of them in Welsh - was checked by a human editor before publication."

"An art historian, a critic and a gallerist are tasked with guessing whether a piece is by an important artist or a clever bot. It turns out it's harder than it looks"

"Their tools analyze content using sophisticated algorithms, picking up on subtle signals to distinguish the images made with computers from the ones produced by human photographers and artists. But some tech leaders and misinformation experts have expressed concern that advances in A.I. will always stay a step ahead of the tools. To assess the effectiveness of current A.I.-detection technology, The New York Times tested five new services using more than 100 synthetic images and real photos. The results show that the services are advancing rapidly, but at times fall short."

Sounds a bit extreme just to make sure no one can log on to your laptop or smartphone, but a team of researchers from Stanford and Northwestern universities as well as SRI International is nonetheless experimenting at the computer-, cognitive- and neuroscience intersection to combat identity theft and shore up cyber security-by taking advantage of the human brain's innate abilities to learn and recognize patterns.