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"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

""Nothing in this bill ensures the security of that data, either. Instead it turns every business providing telecommunications in or to the United Kingdom into an attack vector. The best way to guarantee the safety of user data is for it to not exist. Our national security will be significantly enhanced if we store less data, not more, and increase the use of strong cryptography, rather than reducing it.""

""Could teaching be trumped by a learning machine? Are we beginning to glimpse the possibility of machines that teach themselves to teach? They learn what works, what doesn't and deliver ever better performance. We see the embryonic evidence for this in adaptive learning systems, that are truly algorithmic, and do use machine learning, to improve as they deliver. The more students they teach, the better they get. They even tech themselves. This is not science fiction. This is real AI, in real software, delivering real courses, in real institutions." - Donald Clark"

"More specifically: delivery robots. What you see here is DRU (Domino's Robotic Unit), an autonomous delivery vehicle built in collaboration with Australian technology startup Marathon Targets that Domino's says is the first of its kind. It's filled with thousands of dollars worth of military robotics tech, but its covert mission has been to deliver fresh pizza to the residents of Queensland."

"The development of autonomous military systems - dubbed "killer robots" by campaigners opposed to them - is deeply contentious. Earlier this year, Google withdrew from the Pentagon's Project Maven, which uses machine learning to analyse video feeds from drones, after ethical objections from the tech giant's staff. The government insists it "does not possess fully autonomous weapons and has no intention of developing them". But, since 2015, the UK has declined to support proposals put forward at the UN to ban them. Now, using government data, Freedom of Information requests and open-source information, a year-long investigation reveals that the MoD and defence contractors are funding dozens of artificial intelligence programmes for use in conflict."

"Eck said machine learning, a powerful form of AI, will be integrated into how humans communicate with each other. He raised the idea of "assistive writing" in the future with Google Docs, the company's online word processing software. This may be based on Google's upcoming Smart Compose technology that suggests words and phrases based on what's being typed. Teachers used to worry about whether students used Wikipedia for their homework. Now they may wonder what part of the work the students wrote themselves, Eck said."

"This affects all of us every single day. When the algorithms that govern increasingly large parts of our lives have been designed almost exclusively by young bro-grammers with homogeneous experiences and worldviews, those algorithms are going to fail significant sections of society. A heartbreaking example of this is Gillian Brockell's experience of continuing to get targeted by pregnancy-related ads on Facebook after the stillbirth of her son. Brockell, a Washington Post journalist, recently made headlines when she tweeted an open letter to big tech companies, imploring them to think more carefully about how they target parenting ads."

"Firm urges regulation, raises concerns about possible misuse of fast improving technology"

"When Vancouver tech retailer NCIX went bankrupt, it stopped paying its bills, including the bills for the storage where its servers were being kept; that led to the servers being auctioned off without being wiped first, containing sensitive data -- addresses, phone numbers, credit card numbers, passwords, etc -- for thousands of customers. Also on the servers: tax and payroll information for the company's employees."

"Jack Poulson was a senior research scientist at Google whose work on machine learning work was used to improve Google's search results; now he's quit the company over its Project Dragonfly, a once-secret plan to launch a censored Chinese search engine; Poulson called the move a "forfeiture of our values." Tech companies find it hard to qualify skilled engineers at any price, and machine learning specialists are especially prize, commanding salaries of $1MM/year or more. "

"Customers will be able to use a "Smile to Pay" facial recognition system at the tech-heavy, health-focused concept store, part of a drive by Yum China Holdings Inc to lure a younger generation of consumers. "

" filters are so expensive that only US Big Tech companies could afford them, and they are incapable of distinguishing fair dealing (including things like the music playing in the background of the video of your child's first steps) from infringement, and they are incredibly error prone, to say nothing of the problems of allowing anyone in the world to identify creative works as their copyright with no means to weed out false and fraudulent claims."

"Under the proposal, online platforms would have to spend hundreds of millions of euros on algorithmic copyright filters that would compare everything users tried to post with a database of supposedly copyrighted works, which anyone could add anything to, and block any suspected matches. This would snuff out all the small EU competitors to America's Big Tech giants, and put all Europeans' communications under threat of arbitrary censorship by balky, unaccountable, easily abused algorithms."

"Blockchain technology has also opened the way to new models whereby endless micropayments can be made in return for particular online services or content; and, if people voluntarily allow elements of their data to be used, rewards can flow the other way. Here perhaps lies the key to a system beyond the current, Google-led model, in which services appear to be free but the letting-go of personal data is the actual price."

"They found that despite the 40% "ad-tech" premium charged by behavioral ad companies, the ads only added about 4% the media companies that published them, meaning that behavioral advertising is a losing proposition. "

"which binds over all tech companies to serve as "data fiduciaries," with a legal requirement to use your data in ways that benefit you -- and not ways that benefit themselves at your expense (lawyers, doctors and other professionals have similar fiduciary duties); specifically, companies must not use your data in ways that would be "unexpected and highly offensive to a reasonable consumer.""

"A woman helped create and program the world's first general purpose computer. How much progress has there been since Ada Lovelace Day began in 2009?"

"Research by Imperial College in London and Samsung's AI research center showed how a single photo and audio file can be used to generate a singing video portrait. "