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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

"This type of approach can speed up learning times and improve the efficiency of algorithms, says Max Jaderberg at Google's AI company DeepMind. The company used a similar technique last year to teach an AI to explore a virtual maze. Its algorithm learned much more quickly than conventional reinforcement learning approaches. "Our agent is far quicker and requires a lot less experience from the world to train, making it much more data efficient," he says."

"The more technology helps make us more efficient, the more we are asked to be more efficient. We - our labour, our time, our data - is mined with increasing rapaciousness. Here's my thing with that Keynes essay. Sure, it looks like he was totally wrong about the future. We didn't end up with so much free time that we all went insane. But, then again, we've never actually tested his theory properly. We never just let the machines take over. Clearly, as we're (re)discovering, everyone finds that idea terrifying. I tend to agree. The idea of a completely A.I.-controlled world makes me uneasy. That said, the trend over the last 100 years - and even more since the dawn of this century - doesn't make me feel much better. What seems likelier to me than us all losing our jobs to A.I. is that the way in which we're already being replaced by machines continues is accelerated. That is, that we become ever more tied to the machines, ever more entwined with them. That our lives, bodies, and brains will become ever more machine-like."

"Can AI and analytics be used in a way that improves operational efficiency without jeopardizing our ethical principles? The answer is "yes" - if moral objectives and constraints, now often treated as an afterthought, are considered from the outset when designing models. We will discuss a recent attempt to combine ethics, analytics, and operational efficiency in the world of organ allocation and examine the lessons it holds for other areas of health care and beyond."

"The blackouts coincided with exams for secondary and high-school students and were implemented as the ultimate step in the country's battle to stop students cheating using smuggled mobile phones and internet-connected devices in exam halls. While attempting to ban mobile phones from exams or setting up local jamming equipment might be a less draconian measure, shutting off the internet is undoubtedly efficient. However, the outage impacted every person and business in the parts of the country controlled by the Iraqi government, causing human rights campaigners, including Access Now, to condemn the move."

"There's an increasingly popular solution to this problem: why not let an intelligent algorithm make hiring decisions for you? Surely, the thinking goes, a computer is more able to be impartial than a person, and can simply look at the relevant data vectors to select the most qualified people from a heap of applications, removing human bias and making the process more efficient to boot."

"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."

"That's right, they're coming after us literally for a few splotches of ink. What companies like this do is broker works of art on behalf of actual photographers, but then engage in copyright trolling by threatening anyone who uses even a small piece of them. Increased computing power and more sophisticated algorithms allow them to do this with improved speed and "efficiency.""

"HTTP/2 is a more modern protocol that essentially speeds web browsing up using new ways of transporting data between the browser and server across the internet. It is backwards compatible with HTTP1.1 and uses most of the same technologies, but it is more efficient and allows servers to respond with more content than was originally requested, removing the need for the user's computer to continually send requests for more information until a website is fully loaded."

"Is AI going to take all of our jobs? The economy is always in a state of flux. In the 1800s, 80% of the labor force worked on farms; today it's 2%, but we don't have 78% unemployment. Entirely new industries may continue to spring up and offer new employment opportunities. Ironically, "smart manufacturing," which is partly AI, is touted by politicians on the right and on the left as critical to saving American manufacturing jobs. If AI makes businesses more efficient, contributing to growth of the economy, there will be more money to invest in new ventures. There are probably going to be entirely new sectors of the economy in 100 years that we can't even imagine right now. It's possible that total employment will fall, but economic growth will continue as we're able to produce more with less."

"On the contrary, building large centralized databases and predictive algorithms that make decisions on behalf of humans, and which completely ignore privacy concerns, now seem to be the most efficient way of governing. Algorithms now handle college admissions processes, applicants' selection processes for jobs, where to go to college, what to study in that college, which city is best for you to start your career and raise a family, what part of that city you should live in, and even who you should marry."

"About two years ago the retail team lost another key task: negotiating with major brands and manufacturers the terms of popular sales on the site called "Lightning Deals." Common during the holidays as well as Mother's Day and Father's Day, they help move lots of inventory in a short period. Now, instead of calling their vendor manager at Amazon, the makers of handbags, smartphone accessories and other products simply logged into an Amazon portal that would determine if Amazon liked the deal being offered and the quantity it was willing to buy. No small talk. No give and take. Thousands of Amazon man hours spent forecasting demand, planning marketing strategies and negotiating deals was now handled by software, a major leap in efficiency."

"The use of facial recognition software is rising at public events. Ticketmaster has invested in startup Blink Identity, which aims to move fans through entry points more efficiently and combat touting. Israeli artificial intelligence company AnyVision said it was working with an undisclosed London arena to reduce bottlenecks at turnstiles."

"The turning point happened in 2005, when the transistors, while continuing to double in numbers, were neither faster nor more energy-efficient at the same rates as before."

"Many of the countries buying into that technology, however, still lack the institutions and the legislative oversight to keep it under control. In young, volatile democracies especially, the lure of technological greatness is already coming at a great social cost. "The thing with technology is that it kind of becomes irresistible," says Professor Webster. "It's very tempting when it can do something for us more efficiently. But just because the technology can do something it doesn't mean we should use it.""

"MIT researcher's at CSAIL have developed a lane-changing algorithm for self-driving cars. the algorithm allows for aggressive lane changes much like the kind only real drivers would be capable of.   it works by computing 'buffer zones' around autonomous vehicles and reassessing them on the fly. MIT uses a mathematically efficient approach which calculates new buffer zones if the default buffer zones lead to performance that's far worse than a human's driver."

"Dubbed TraceTogether, the app is able to identify people who have been in close proximity - within 2m for at least 30 minutes - to coronavirus patients using wireless Bluetooth technology, said its developers, the Government Technology Agency (GovTech) and the Ministry of Health (MOH), on Friday (March 20)."

"The computers are connected into a kind of hive mind via a downloadable software, allowing the system to run calculations with greater speed and efficiency than any individual device. This is necessary to do the complex work of simulating how the proteins that make up the novel coronavirus behave and where there could be potential binding sites for drugs to latch on to."

"In short, it's not great out there if you're a person who cares about privacy, and it's likely to keep getting worse. In the long run, pressure on state and federal regulators to enact and enforce laws that can limit the collection and use of such data is likely to be the most efficient way to effect change. But in the shorter term, individuals have a conundrum before them: can you go out and exist in the world without being seen?"