Lifeboat Foundation: Safeguarding Humanity
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Category: employment – Page 67

A BASIC income (BI) is defined as a modest, regular payment to every legal resident in the community, paid unconditionally as a right, regardless of income, employment or relationship status.

Contrary to conventional wisdom, the case for BI does not rest on the assumption that robots and artificial intelligence will cause mass unemployment or that it would be a more efficient way of relieving poverty than present welfare systems (although it would). The main arguments are ethical and relate to social justice, individual freedom and the need for basic security.

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“I think we are on the verge of a massive disruption,” Ford told me recently. “We see stagnant wages, and we see an erosion in the quality of the jobs. A lot of solid middle-class jobs are disappearing, and that alone has been remarkably disruptive… This is a big deal and I think it’s going to get get vastly bigger, and I do think that this is a subject everyone should be a bit concerned about.”

To put it bluntly: Once cars and trucks become automated, what will taxi and truck drivers do for work? Same with factory workers, fast food employees, retail clerks, and millions of other low-skill jobs that could theoretically be phased out entirely with robotics. This isn’t some sci-fi future; one report compiled recently by the McKinsey Global Institute says that advances in AI, automation and robotics will displace between 39 and 73 million jobs by 2030.

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Humanoid Robot torsos, legs, and arms are about where they need to be. But the robot hands are not quite where they need to be yet if we really want them to take all the jobs. The government is dumping a lot of money into robotic hand’s for amputees, which i’m sure they plan to eventually put on the humanoid robots, but it should be pushed along faster.

Imagine, for a moment, the simple act of picking up a playing card from a table. You have a couple of options: Maybe you jam your fingernail under it for leverage, or drag it over the edge of the table.

Now imagine a robot trying to do the same thing. Tricky: Most robots don’t have fingernails, or friction-facilitating fingerpads that perfectly mimic ours. So many of these delicate manipulations continue to escape robotic control. But engineers are making steady progress in getting the machines to manipulate our world. And now, you can help them from the comfort of your own home.

UC Berkeley and Siemens researchers have launched something called Dex-Net as a Service, a beta program that computes how and where a robot should grip objects like vases and turbine housings. You can even upload designs of your own objects. The goal: to one day get the robot in your home to call up to the cloud for tips on how to manipulate novel objects. Maybe we can even keep them from destroying the delicates.

Continue reading “Robots Can’t Hold Stuff Very Well, But You Can Help” | >

This podcast is from my article called, The U.S. Economy is Built on a Foundation of Sand.

While many Economists, are saying that the U.S. economy looks great and has a forward momentum, I’m going to take a different tone. Not a pessimistic tone but a realistic view based upon facts and my futurist intuitive insight.

Here are all the links for this podcast

Tesla is going to cut about 9% of its global workforce

Continue reading “AI & Technology Taking Over White Collar Jobs” | >

Interesting article on the limited future of human paid employment for AI, some thoughts.

By Paul R. Daugherty and H. James Wilson

Superman versus Batman. Captain America versus Iron Man. Zuckerberg versus Musk?

The reported clash between the two technology titans is proof that not everyone sees the benefits and dangers of artificial intelligence in the same light. Yet from Facebook’s algorithms to Tesla’s self-driving cars, it’s clear that AI isn’t science fiction any longer—and that we’re already at the cusp of a new era, with AI poised to deliver transformational change in business and society.

Continue reading “What Are The New Jobs In A Human + Machine World?” | >

Full automation of things like Logging, and Mining is not that far off. A humanoid robot that can do all the tasks of those sorts of jobs is already really close, the main issue right now is copying Human Hands, and it is almost there. Then, having vehicles like this to haul the stuff out of there. And, then those jobs are gone for good.

It might not be the quickest vehicle at the event, but Swedish transport company Einride has chosen the Goodwood Festival of Speed to reveal the T-log, an autonomous, electric logging truck. Incorporating some unusual purpose-built design for the niche logging market, the vehicle is designed to go off-road and to navigate forest roads with and without loads.

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My debate on #BasicIncome at the FreedomFest against Dr. Barbara Kolm, director at the Austrian Economic Center (debate moderated by syndicated columnist and scholar Veronique de Rugy) got a write-up in Nevada Current (article by journalist Jeniffer Solis). https://www.nevadacurrent.com/…/universal-basic-income-tou…/ #FFest18

Earlier this month, the Vdara Hotel & Spa added two relay robots that deliver snacks, sundries and spa products directly to guest suites. While charmingly decorated as a Golden Retriever and Dalmatian dog with Vdara-themed collars, the new robots — named Fetch and Jett — may be a sign of what’s next for Las Vegas.

In 20 years, about 65 percent of the city’s jobs could be automated, according to a study by the Institute for Spatial Economic Analysis. That projection may be an outlier – the Organization for Economic for Cooperation and Development, for instance, projects only 10 percent of U.S. jobs are vulnerable to automation.

Still, the highest areas of employment in Las Vegas are in low-skilled service positions like office and administrative support, retail sales, food preparation and serving related occupations — repetitive and routine tasks ripe for automation.

Continue reading “Universal basic income touted as answer to automation” | >

WANT a job with a successful multinational? You will face lots of competition. Two years ago Goldman Sachs received a quarter of a million applications from students and graduates. Those are not just daunting odds for jobhunters; they are a practical problem for companies. If a team of five Goldman human-resources staff, working 12 hours every day, including weekends, spent five minutes on each application, they would take nearly a year to complete the task of sifting through the pile.

Little wonder that most large firms use a computer program, or algorithm, when it comes to screening candidates seeking junior jobs. And that means applicants would benefit from knowing exactly what the algorithms are looking for.

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