AI News, When Robots Take All of Our Jobs, Remember the Luddites ... artificial intelligence

Artificial intelligence drives new interest in performance support

We’ve looked at the Conversation Consultant’s job role, and to be honest, it is a pretty cool new job for Learning and Development.

Once the quality of search results was directly related to your ability to predict how the data was structured, and how you should ask for the information you needed;

In 1998 Google’s founding mission statement, “We will organize the world’s information, and make it universally accessible and useful”, started an arms race that has delivered astonishing innovation.

Shape Created with Sketch. Will robots take our children's jobs?

A startup called Arterys, to cite just one example, already has a programmeme that can perform an MRI analysis of blood flow through a heart in just 15 seconds, compared with the 45 minutes required by humans.

Last year, a prototype robotic surgeon called Star(Smart Tissue Autonomous Robot) outperformed human surgeons in a test in which both had to repair the severed intestine of a live pig.

Software programmemes are already being used by companies including JPMorgan Chase andCoto scan legal papers and predict what documents are relevant, saving lots of billable hours.

The Associated Press already has used a software programmeme from a company called Automated Insights to churn out passable copy covering Wall Street earnings and some college sports, and last year awarded the bots the minor league baseball beat.

I hardly count that as surprising, given that pilots of commercial Boeing 777s, according to one 2015 survey, only spend seven minutes during an average flight actually flying the thing.

Big banks are using software programmes that can suggest bets, construct hedges and act as robo-economists, using natural language processing to parse central-bank commentary to predict monetary policy, according to Bloomberg.

BlackRock, the biggest fund company in the world, made waves earlier this year when it announced it was replacing some highly paid human stock pickers with computer algorithms.

A much-quoted 2013 study by the University of Oxford Department of Engineering Science –surely the most sober of institutions –estimated that 47 per cent of current jobs, including insurance underwriter, sports referee and loan officer, are at risk of falling victim to automation, perhaps within a decade or two.

the company recently announced plans to buy 24,000 Volvo sport utility vehicles to roll out as a driverless fleet between 2019 and 2021.

Indeed, the world’s armies arein such an arms race developing grunt-bots that one British intelligence expert predicted that USforces will have more robot soldiers than humans by 2025.

That is the term that futurists use to describe a potentially cataclysmic point at which machine intelligence catches up to human intelligence, and likely blows right past it.

But it created millions of jobs to replace them, not just for Detroit assembly line workers, but for suburban homebuilders, Big Mac flippers and actors performing “Greased Lightning” in touring revivals of Grease.That is the process of creative destruction in a nutshell.

And yet a computer was able to prove that it can beat anyone in the world.” Looking for a silver lining, I spent an afternoon watching TED Talks with catchy titles like “Are Droids Taking Our Jobs?” In one, Albert Wenger, an influential tech investor, promoted the basic income guarantee concept.

Also known as universal basic income, this sunny concept holds that a robot-driven economy may someday produce an unlimited bounty of cool stuff while simultaneously releasing us from the drudgery of old-fashioned labour, leaving our government-funded children to enjoy bountiful lives of leisure as interpretive dancers or practitioners of bee-sting therapy, as touted by Gwyneth Paltrow.

The computers simply freed the humans from mind-numbing work like counting out $20 bills to focus on more cognitively demanding tasks like “forging relationships with customers, solving problems and introducing them to new products like credit cards, loans and investments”, he said.

“However, I’m going to be really surprised when there is a digital lyricist out there, somebody who can put words to that music that will actually resonate with people and make them think something about the human condition.” Not everyone, of course, is cut out to be a cyborg-Springsteen.

The Luddite Fallacy

The Luddite fallacy is the simple observation that new technology does not lead to higher overall unemployment in the economy.

Against the backdrop of the economic hardship following the Napoleonic wars, new automated looms meant clothing could be made with fewer lower-skilled workers.

The idea that new technology leads to job losses has persisted, despite the fact that economists are almost universally united in stating that new technology will not increase the long-term unemployment rate (though there may be temporary structural unemployment).

We can spend money on other services which require human service, or we can use the higher disposable income to work fewer hours, but still maintains living standards.

Despite the rapid technological change of the past 20 years, we can’t say that technology has left thousands of unemployed skilled weavers.

(See: Decline of UK coal industry) However, technological change can cause relatively significant levels of unemployment, especially amongst unskilled workers.

The coal miners who lost their job because of technological change found themselves unemployed because of: In the long-term, the unemployed should be able to take new jobs which are created.

Therefore, if workers are threatened with job losses as a result of new technology, the solution is not to stop technological change, but to overcome market failure in removing labour market inflexibilities.

Therefore, to attain an overall Pareto improvement, there is a strong case for a government providing unemployment insurance relief and free training to the unemployed.

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