Archive for the ‘employment’ category: Page 8

May 20, 2018

A.I. could be the harbinger of a global socialist revolution

Posted by in categories: employment, robotics/AI

Artificial intelligence and automation stand poised to put millions out of work and make inequality even more pronounced. Is it possible to solve one problem with another?

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May 18, 2018

Introducing The Humans Behind Artificial Intelligence

Posted by in categories: employment, robotics/AI

There’s always a lot of talk about how AI will steal all our jobs and how machines will bring about the collapse of employment as we know it. It’s certainly hard to blame people for worrying with all the negative press around the issue.

But the reality is that AI is completely dependent on humans, and it appears as if it will stay that way for the foreseeable future. In fact, as AI grows as an industry and machine learning becomes more widely used, this will actually create a whole host of new jobs for people.

Let’s take a look at some of the roles humans currently play in the AI industry and the kind of jobs that will continue to be important in the future.

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May 9, 2018

The Fourth Industrial Revolution is Here!

Posted by in categories: biotech/medical, economics, education, employment, government, information science, law, mathematics, robotics/AI

So much talk about AI and robots taking our jobs. Well, guess what, it’s already happening and the rate of change will only increase. I estimate that about 5% of jobs have been automated — both blue collar manufacturing jobs, as well as, this time, low-level white collar jobs — think back office, paralegals, etc. There’s a thing called RPA, or Robot Process Automation, which is hollowing out back office jobs at an alarming rate, using rules based algorithms and expert systems. This will rapidly change with the introduction of deep learning algorithms into these “robot automation” systems, making them intelligent, capable of making intuitive decisions and therefore replacing more highly skilled and creative jobs. So if we’re on an exponential curve, and we’ve managed to automate around 5% of jobs in the past six years, say, and the doubling is every two years, that means by 2030, almost all jobs will be automated. Remember, the exponential math means 1, 2, 4, 8, 16, 32, 64, 100%, with the doubling every two years.

We are definitely going to need a basic income to prevent people (doctors, lawyers, drivers, teachers, scientists, manufacturers, craftsmen) from going homeless once their jobs are automated away. This will need to be worked out at the government level — the sooner the better, because exponentials have a habit of creeping up on people and then surprising society with the intensity and rapidity of the disruptive change they bring. I’m confident that humanity can and will rise to the challenges ahead, and it is well to remember that economics is driven by technology, not the other way around. Education, as usual, is definitely the key to meeting these challenges head on and in a fully informed way. My only concern is when governments will actually start taking this situation seriously enough to start taking bold action. There certainly is no time like the present.

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May 4, 2018

Japan, unlike the West, is not scared of robots stealing jobs, deputy leader says

Posted by in categories: employment, finance, robotics/AI

Japan’s labor force do not mind robots in factories because they’re seen as a source of help, Japanese Deputy Prime Minister and Minister of Finance Taro Aso said in a panel discussion at the Asian Development Bank’s annual gathering in Manila.

Unlike many of their Western counterparts, Japanese workers aren’t afraid of robots stealing their jobs, a top-ranking official from the country said Friday.

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Apr 22, 2018

How robots are reshaping one of the dirtiest, most dangerous jobs

Posted by in categories: employment, robotics/AI, sustainability

Maybe these giant bots will stop our landfills from overflowing!

Garbage-sorting robots featuring artificial intelligence and fast-moving arms are now on the job at many recycling centers across the U.S. and around the world.

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Apr 22, 2018

Why robots could replace teachers as soon as 2027

Posted by in categories: biotech/medical, education, employment, finance, robotics/AI

Will they teach humanities?

Some experts have suggested that autonomous systems will replace us in jobs for which humans are unsuited anyway — those that are dull, dirty, and dangerous. That’s already happening. Robots clean nuclear disaster sites and work construction jobs. Desk jobs aren’t immune to the robot takeover, however — machines are replacing finance experts, outperforming doctors, and competing with advertising masterminds.

The unique demands placed on primary and secondary school teachers make this position different from many other jobs at risk of automation. Students all learn differently, and a good teacher must attempt to deliver lessons in a way that resonates with every child in the classroom. Some students may have behavioral or psychological problems that inhibit or complicate that process. Others may have parents who are too involved, or not involved enough, in their education. Effective teachers must be able to navigate these many hurdles while satisfying often-changing curriculum requirements.

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Apr 21, 2018

Neurosurgeon Eric Leuthardt: ‘An interface between mind and machine will happen’

Posted by in categories: biotech/medical, employment, robotics/AI

I guess any procedure involving the brain feels like a different category of risk to most people. You must face that anxiety every day. I think there are two types of surgical practice that really strike at the core of people’s anxiety. One is brain surgery, where you are operating on something that people see as themselves, their sense of identity, their mind. The other one is, I think, paediatric surgery, where the operation is on the thing most precious to you – your children. I think both create a dynamic where you need to work harder to create trust with your patients.

When it comes to innovation that might link a person’s mind directly with a machine, it seems as much an ethical as a medical question. Is that how you see it? Ethicists are critical in what we do. A working interface would be a real turning point in human evolution. I don’t say that with bombast or hyperbole. And just like with artificial intelligence, we need to take the greatest care in how we think about it. Whether it happens in five years or 50 years, it will happen. I wrote these two science-fiction novels to try to walk people through some of the things that could happen; for example, if others got unauthorised access to these implants, or when corporations got involved. We need to be thinking about these things now, rather than after the fact.

Was one of the motivations in writing your books to work out these things for yourself? Did you feel the same at the beginning of the process as at the end? I had certain ideas in mind when I started the books, but there was an evolution. I came to think less about that individual interface and more about the effect this technology might have on society. We need to think hard about how advances [might] not increase social division.

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Apr 14, 2018

Google futurist and director of engineering: Basic income will spread worldwide by the 2030s

Posted by in categories: bioengineering, biotech/medical, economics, employment, Ray Kurzweil, robotics/AI

  • Basic income will be widespread by the 2030s, according to Google futurist and director of engineering Ray Kurzweil.
  • Kurzweil is known for making seemingly wild predictions. In 2016, he predicted that by 2029, medical technology will add an extra year to human life expectancies on an annual basis.
  • ” We’re going to have more and more powerful technology to keep our physical bodies going. We’ll think, ‘Wow, back in 2018, people only had one body, and they couldn’t back up their mind file,’” he said onstage at TED.

As it becomes apparent that artificial intelligence will replace ever-more jobs in the coming years, a growing number of politicians, nonprofits, and Silicon Valley entrepreneurs have started thinking about how we’ll cope with a world in which not everyone can — or needs to — work.

Basic income experiments, in which people are given a regular salary just to live, no strings attached, are popping up all over Europe, Africa, and North America.

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Apr 12, 2018

DARPA Awards Ginkgo Bioworks and Transcriptic $9.5M to Bring AI into the Lab

Posted by in categories: biotech/medical, economics, employment, robotics/AI

The industry partners will use the money to train artificially intelligent laboratory robots.

Many people assume that when robots enter the economy, they’ll snatch low-skilled jobs. But don’t let a PhD fool you — AI-powered robots will soon impact a laboratory near you.

The days of pipetting liquids around were already numbered. Companies like Transcriptic, based in Menlo Park, California, now offer automated molecular biology lab work, from routine PCR to more complicated preclinical assays. Customers can buy time on their ‘robotic cloud lab’ using any laptop and access the results in a web app.

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Apr 8, 2018

Of Hives, Ethics, Morals, and the Singularity

Posted by in categories: employment, ethics, Ray Kurzweil, robotics/AI, singularity

AUSTIN — At SXSW 2018, artificial intelligence (AI) was everywhere, even in the sessions that were not specifically about the subject. AI has captured the attention of people well outside the technology space, and the implications of the technology are far-reaching, changing industries, eliminating many human jobs, and changing the nature of work for most of us going forward. I expect that an AI bot could write this article within 10 years — and likely much sooner — simply by ingesting all the information from the sessions I attended, coupled with an ability to research related information on the internet much better than I could.

Interestingly enough, as Ray Kurzweil pointed out in his talk here, the term “artificial intelligence” was coined at a summer workshop at Dartmouth in 1956 attended by computing pioneers such as Marvin Minsky and Claude Shannon, at a time when computers still ran on vacuum tubes and computers in the world numbered in the hundreds.

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