Lots of high-minded technological thinkers, particularly Elon Musk, have proposed a universal basic income, a form of wealth distribution that ensures every citizen receives a baseline income whether or not they are employed, as a likely solution to the problem of workforce automation. But the White House report takes a more somber approach, describing a basic income as “giving up on the possibility of workers’ remaining employed.” Instead, the report suggests a number of policy proposals (like Obama’s national free community college initiative, and expanded unemployment benefits) as ways of actively facilitating the transition into a more AI driven economy.
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UBI is in fact not a single proposal. It’s a field of proposals that’s perhaps better thought of as a philosophical intervention, a new conception of macro-economic and political structure. It’s unusual to argue wholeheartedly against representative government, taxation or universal suffrage, while it is common to disagree on which party should govern, whether taxes should be raised or cut, and particular elements of voting procedure. In the same way, we shouldn’t argue all-out for or against UBI but instead inspect the make-up of each approach to it – that’s where we can find not only meaningful debate, but also possibilities for working out what we might actually want.
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The most important distinguishing feature between the different iterations of UBI is where the funding comes from. Wrapped up in this are ancillary questions: what would a UBI replace, compensate for, or complement in the rest of the economy? What would the knock-on effects be for social welfare and the government’s responsibility to its citizens? Who gets the money is another question worth looking at (just how ‘universal’ is the income?), as is its amount and regularity.
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According to the World Economic Forum’s Future of Jobs report, some jobs will be wiped out, others will be in high demand, but all in all, around 5 million jobs will be lost. The real question is then, how many jobs will be made redundant in the 2020s? Many futurists including Google’s Chief Futurist believe this will necessitate a universal human stipend that could become globally ubiquitous as early as the 2030s.
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AI will optimize many of our systems, but also create new jobs. We don’t know the rate at which it will do this. Research firm Gartner further confirms the hypothesis of AI creating more jobs than it replaces, by predicting that in 2020, AI will create 2.3 million new jobs while eliminating 1.8 million traditional jobs.
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In an era where it’s being shown we can’t even regulate algorithms, how will we be able to regulate AI and robots that will progressively have a better capacity to self-learn, self-engineer, self-code and self-replicate? This first wave of robots are simply robots capable of performing repetitive tasks, but as human beings become less intelligent trapped in digital immersion, the rate at which robots learn how to learn will exponentially increase.How do humans stay relevant when Big Data enables AI to comb through contextual data as would a supercomputer? Data will no longer be the purvey of human beings, neither medical diagnosis and many other things. To say that AI “augments” human in this respect, is extremely naive and hopelessly optimistic. In many respects, AI completely replaces the need for human beings. This is what I term the automation economy.
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Excellent article. The author hits ALL the main reasons why the time for UBI has come.
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