Two words you'll have heard a lot of over the past year or so. It's been such a popular term that it even made Word of the Year for 2017. But there is a much more to it than being a large part of Trump's vocabulary. This is a'uge problem that needs to be addressed and tackled. So, what is it then?

One of the biggest challenges for recruiting teams is accurately predicting when a role will be filled, to better anticipate and sidestep the costs of a slow hiring process. Using machine learning, Greenhouse Predicts helps forecast candidate offer acceptance and new hire start dates, allowing Talent, Operations and Finance teams to more easily see around corners, make informed decisions, and effectively communicate timelines. "Greenhouse Predicts helped the recruiting team at Workfront provide better data to the Finance team on our time-to-fill metric," said Greenhouse customer Jana Johnson, Manager of Talent Acquisition for Workfront, which has been part of the beta since the beginning. "As a fast-growing SaaS company, it's especially important that we're able to accurately forecast headcount spend. Before we had Greenhouse Predicts, each recruiter was sharing their'best guess' on when they thought the position would be filled; this method was far less accurate than the algorithm built in the tool."

The last decade has seen a dramatic increase in our daily use of artificial intelligence. Nowadays, AI systems are being used in leading newsrooms around the world. I recently detailed AI's current roles in journalism, and the new possibilities they present. With these new possibilities come questions regarding ethical use of AI in newsrooms and the factors that should be considered when judging the moral application of AI in today's news. Here, we're going to examine the emerging ethics surrounding AI use in journalism as media professionals face new challenges never before met in the modern newsroom.

Google may have teased us with exciting new AR features for the Maps app, but it's not forgetting to make its Lens camera more useful, either. Since its launch last year, Lens has rolled out to iOS and gained a few skills, like identifying cat and dog breeds. At its I/O developer conference today, Google announced three new features for Lens -- Smart Text Selection, Style Match and Real-time results. After checking it out here at the show, I'm most intrigued by the text-recognition tools, which actually seem useful. What Smart Text Selection does is scan words in documents around you and let you interact with them in your phone.

He wants to build a colony on Mars, she writes songs from the perspective of a vampire Al Pacino, and together, Elon Musk and Grimes make 2018's weirdest new couple. But instead of one of those love stories where the two come from opposite sides of the tracks or their families hate each other, this is a match where, honestly, no one is quite sure how one even knew the other one existed. Page Six, which first reported on the coupling of Grusk (or Mimes, take your pick) confirms this: Musk, the CEO of Tesla and SpaceX, only became aware of Grimes, aka Canadian musician and producer Claire Boucher, about a month ago, when he wanted to tweet an obscure pun about an artificial-intelligence thought experiment ("Rococo Basilisk") that he discovered she had already made in a 2015 music video. Presumably this goes one of two ways: Either Grusk winds up just another footnote on both of their Wikipedia pages or their Met Ball appearance this week (complete with Tesla choker) will be remembered as the beginning of the greatest love story ever told. To find out, I consulted the experts: their online fans.

Companies will finally gather their data, run it through several algorithms and scenario planning, and leverage the results to invest in a handful of ideas that will demonstrate the power and potential of AI. Some of that is indeed happening, as forward-leaning companies continue to be drawn to creative and intuitive thinking that will make their programs, planning and go-to-market promotions smarter while delivering stronger ROI. Still, I can't help but think that the best year ever for AI was actually 2004. Now I know you're thinking, 'AI was really only a whisper of an idea 14 years ago. What could possibly have transpired to make 2004 a banner year for artificial intelligence?'

Siemens wants to turn its digital communications platform into one that's as important to consumers as Facebook, and it's starting by getting artificial intelligence to tell its internal authors what to write about. The tech conglomerate believes the sheer scale of its work (which is carried out by more than 350,000 employees worldwide) makes for stories that will interest people outside of the company. However the two heads of its communications department – both less than two years into their respective jobs – are aware that the brand has been historically ineffective at telling these stories, largely due to its distrust in non-traditional media. "We liked to touch things and talk about things – traditional media events were where we bought our a-game," said Stephanie Chalmers, global head of content and newsroom at Siemens. "I had to explain that [non-traditional] channels are way more effective than the ones they were used to. That complexity is very scary for a company like Siemens, because they can't control it."

The first things you notice are the chill in the air, the vast grid on the floor which makes you feel like you're on the film set of the movie Tron, and the whooshing sound of wheels skimming across aluminium. The last thing on your mind is buying groceries. I'm standing upstairs in an Ocado warehouse in Hampshire, England, where grocery orders are assembled and dispatched, watching hundreds of cuboid robots whizz around on a vast metal grid that stretches out as far as I can see. The grocery giant doesn't often let journalists in to its 18 acre (784,080 sq ft) Andover site. With the exception of two or three maintenance engineers on standby, my guide and I are the only humans in the vast space.

Imagine having a conversation with your financial advisor. He can tell by your tone of voice or facial expression if something makes sense or if you disagree with something, and he can adjust accordingly. But wouldn't it be odd if your advisor started making suggestions that were completely irrelevant to your financial situation? It would also be troublesome if he offered suggestions that you'd already discussed in a previous conversation or, worse, had already acted on. You would be beyond frustrated to have such an experience when speaking face-to-face with an advisor -- or anyone trying to help you -- yet for years, we have accepted such lack of personalization as par for the course online.

The newly relaunched news curation service will use "a new set of AI techniques to take a constant flow of information as it hits the web, analyze it in real time and organize it into storylines," Google News lead Trystan Upstill wrote in a blog post Tuesday. "This approach means Google News understands the people, places and things involved in a story as it evolves, and connects how they relate to one another," he wrote. Silicon Valley's biggest tech companies are all vying to become the leading digital news platform, and all use AI to curate content. But Google says the new Google News will go even further than others in harnessing the power of machine learning. In the wake of the rise of fake news spread by platforms like Facebook during the 2016 election and general fears about social media's effects on the way people consume news and information, there is likely to be intense scrutiny on how Google's AI performs.