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Archive for the ‘employment’ category: Page 69

Dec 13, 2017

India’s grasp on IT jobs is loosening up. Is artificial intelligence to blame?

Posted by in categories: business, employment, engineering, information science, robotics/AI

When Kumar lost his job, he became part of a wave of layoffs washing through the Indian IT industry—a term that includes, in its vastness, call centers, engineering services, business process outsourcing firms, and infrastructure management and software companies. The recent layoffs are part of the industry’s most significant period of churn since it began to boom two decades ago. Companies don’t necessarily attribute these layoffs directly to automation, but at the same time, they constantly identify automation as the spark for huge changes in the industry. Bots, machine learning, and algorithms that robotically execute processes are rendering old skills redundant, recasting the idea of work and making a smaller labor force seem likely.


Technology outsourcing has been India’s only reliable job creator in the past 30 years. Now artificial intelligence threatens to wipe out those gains.

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Dec 10, 2017

The Risks of AI to Security and the Future of Work

Posted by in categories: cybercrime/malcode, employment, policy, robotics/AI

As artificial intelligence (AI) becomes more prevalent in the domains of security and employment, what are the policy implications? What effects might AI have on cybersecurity, criminal and civil justice, and labor market patterns?

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Dec 4, 2017

Can extreme poverty ever be eradicated?

Posted by in categories: employment, food, sustainability

Poverty rates have fallen faster in the past 30 years than at any other time on record. The UN wants extreme poverty to disappear by 2030. We assess the data to see if this is achievable.

Click here to subscribe to The Economist on YouTube: http://econ.st/2AfBchr

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Dec 3, 2017

A.I. Will Transform the Economy. But How Much, and How Soon?

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

Three new reports combine to suggest these answers: It can probably do less right now than you think. But it will eventually do more than you probably think, in more places than you probably think, and will probably evolve faster than powerful technologies have in the past.


Three new reports suggest that artificial intelligence can probably do less right now than you think. But by one estimation, up to a third of American workers will have to switch jobs by 2030 largely because of it.

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Dec 2, 2017

The robots are coming – but will they really take all our jobs?

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

Last week, Chancellor Philip Hammond announced in the Autumn Budget a £500m package of investment into tech initiatives, including the development of artificial intelligence.

Which must have had the Channel 4 executives ordering trebles all round, because with perfect timing they’ve designated this week the “Rise of the Robots season”, with a schedule that includes documentaries on the take-off of artificial intelligences (AIs) as consulting doctors, a David Tennant -narrated piece on the challenge of making robots as human as possible, and the one that’s had the tabloids hot under the collar, today’s The Sex Robots Are Coming – which needs little further explanation.

Doctor Who and the Invasion of the Sex-Bots aside, though, is it actually possible that the dream of science fiction writers going back a century or more is on the verge of reality? Are we really about to live in the long-promised future of robots and AIs?

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Dec 1, 2017

Canada tests ‘basic income’ effect on poverty amid lost jobs

Posted by in categories: biotech/medical, economics, employment, finance, food, government, security

Ontario intends to provide a basic income to 4,000 people in three different communities as part of an experiment that seeks to evaluate whether providing more money to people on public assistance or low incomes will make a significant material difference in their lives. How people like Button respond over the next three years is being closely watched by social scientists, economists and policymakers in Canada and around the world.


Former security guard Tim Button considers how a sudden increase in his income from an unusual social experiment has changed his life in this Canadian industrial city along the shore of Lake Ontario.

Sipping coffee in a Tim Horton’s doughnut shop, Button says he has been unable to work because of a fall from a roof, and the financial boost from Ontario Province’s new “basic income” program has enabled him to make plans to visit distant family for Christmas for the first time in years. It has also prompted him to eat healthier, schedule a long-postponed trip to the dentist and mull taking a course to help him get back to work.

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Nov 25, 2017

The jury’s still out on whether universal basic income will save us from job-stealing robots

Posted by in categories: biotech/medical, economics, Elon Musk, employment, government, robotics/AI, transhumanism

In this new Business Insider article, my ideas on peak labor and Universal Basic Income are pitted against MIT scientist Andrew McAfee. I’m excited to see my government shrinking Federal Land Dividend proposal getting out there. Story by journalist Dylan Love: http://www.businessinsider.com/will-universal-basic-income-s…?r=UK&IR=T #transhumanism #libertarian


Does free money change nothing or everything?

Universal basic income (UBI) is the hottest idea in social security since Franklin Roosevelt signed the New Deal in 1935, and it is fairly understood as free money given to citizens by their government. Though the idea traces its roots back to the 16th century as a “cure for theft,” UBI has gained new consideration and momentum these days, as high-profile techno-doomsayers like SpaceX founder Elon Musk point to it as an economic solution for big problems predicted to arrive soon.

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Nov 20, 2017

The Policy Prognosis for AI: Winner of the SSUNS 2017 Essay Contest

Posted by in categories: economics, education, Elon Musk, employment, health, neuroscience, policy, quantum physics, robotics/AI, transhumanism

Furthermore, with advancements in quantum computing and machine learning, many notable public figures, including Stephen Hawking and Elon Musk, have indicated a growing concern with the imminent threat of AI surpassing human intelligence (Gosset, 2017). For instance, Darrell M. West, a political scientist, has proposed a protectionist framework that appeals to transhumanism, in which he restructures socioeconomic policy to account for changes in technology-induced unemployment. In particular, he posits that “Separating the dispersion of health care, disability, and pension benefits outside of employment offers workers with limited skills social benefits on a universal basis” (West, 2015). Expounding upon this equivocation, a more viable solution to potential unemployment is the realization of a multi-faceted policy which advocates the improvement of STEM-related education on a broad economic base, with habituation programs for the unskilled workforce. That is, with the implementation of appropriate and reformatory policies concerning the future development of AI technologies, this sector provides an economic incentive for new job creation, compatible with industrial development.


Prompt: What are the political implications of artificial intelligence technology and how should policy makers ensure this technology will benefit diverse sectors of society?

In recent years, the rapid development and mass proliferation of artificial intelligence have had various sociopolitical implications. It is a commonly held belief that the emergence of this technology will have an unprecedented impact on policies and political agendas. However, such discourse often lacks a geopolitical and social dimension, which limits the breadth of analysis. Further, little consideration has been given to potential employment and public policy reform. Growing concerns have been raised regarding the potential risk inherent in the evolution of strong AI, which provides the basis for transhumanism, whereby it is conjectured that AI will eventually be able to surpass human intelligence. As such, it is incumbent upon the upcoming generation of policymakers to implement and adopt necessary measures, which will provide a careful, multilateral framework, ultimately achieving market-oriented technological advancement with respect to employment and public policy.

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Nov 6, 2017

Why Bringing Aging Under Medical Control Probably Wont Create a Gerontocracy

Posted by in categories: biotech/medical, employment, life extension

One concern some people have about bringing aging under medical control is that it might create an immortal Gerontocracy controlling society.


As I discussed in another article, rejuvenation biotechnology would allow older adults to continue working and producing wealth for much longer than they can today, thus benefiting society in many ways.

However, some people are concerned that this might do more harm than good; imagine all those rejuvenated old farts holding onto their jobs forever, preventing the young from getting jobs themselves! Not to mention the risk of a gerontocratic world, where powerful older people get a touch too attached to their chairs, never allowing younger people a chance!

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Nov 2, 2017

Will AI job-stealing robots lead to a human revolution?

Posted by in categories: employment, government, law, robotics/AI

The rise of artificial intelligence threatens to eliminate jobs once considered impossible to automate. One series of papers by Oxford researchers ranks jobs by their estimated susceptibility to automation. Among those most rated likely to vanish – because they involve work that AI can increasingly accomplish less expensively – are real estate brokers, insurance claims adjusters and sports referees. Could anything good come of mass unemployment?

History tells us that when technology squeezes people out of jobs, they revolt. Industrialization in 19th-century England, for example, gave rise to Luddite activism. Unfortunately, history also suggests that protests of the marginalized don’t solve the underlying problem. The British Army suppressed the Luddites; the government passed laws to protect factory equipment and industrialization marched on. As Marx went on to theorize, in a capitalist society, the government is co-opted by the wealthy classes.

What happens, though, when that skilled upper class is itself put out of a job? That’s the question that mass AI-based unemployment would pose. What would happen when well-educated lawyers, journalists, bureaucrats, corporate managers and other creative-class knowledge workers can’t find work? Could the rise of AI lead to a white-collar rebellion?

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