Mechanical Engineering magazine (paywalled until next month) and Financial Times, among others, recently reviewed the book Race Against the Machine by economists Erik Brynjolfsson and Andrew McAfee. The FT reviewer writes:
Pattern recognition, the authors think, will quickly allow machines to branch out further. Computers will soon drive more safely than humans, a fact Google has demonstrated by allowing one to take out a Toyota Prius for a 1,000-mile spin. Truck and taxi drivers should be worried – but then so should medical professionals, lawyers and accountants; all of their jobs are at risk too. The outcome is a nightmarish but worryingly convincing vision of a future in which an ever-decreasing circle of professions is immune from robotic encirclement.
And ME magazine quotes McAfee in an interview:
Once computers get better than people, you don't have to hire people to do that job any more. That doesn't mean that people can't find work. There will always be an amount of work to do, but they won't like the wages they are offered.
Both reviewers also hint that McAfee and Brynjolfsson offer a partial explanation of the "jobless recovery", but either the book's argument is weak or the reviewers do a poor job summarizing it. Such a purported explanation might be the main attraction for most readers, but I'm more interested in the longer-term picture. Be it the "nightmarish vision" of the future mentioned in FT, or the simpler point about wages offered by McAfee, this might be a good hook to get the general public thinking about the long-term consequences of AI.
Is that a good idea? Should sleeping general publics be left to lie? There seems to be significant reluctance among many LessWrongers to stir the public, but have we ever hashed out the reasons for and against? Please describe any non-obvious reasons on either side.
That is indeed the ultimate hypothetical situation we're discussing, but we're also discussing other situations in the present or very near future where only some human job-skills have been obsoleted. From the Mechanical Engineering article, I got the impression the Race Against the Machine authors thought that jobs were being obsoleted faster than people could re-train for the new ones. Thus, increased unemployment.
I doubt that a major chunk of current unemployment is thus explained, but I like the fact that this might get people thinking. They can connect the dots to the possible future situation you've named, and perhaps start thinking more seriously about AI.
There are two separate effects here. In the short term, a new technology may put people out of work faster than they can retrain. That's bad for them; it's likely to be bad for the world as a whole in the short term; but it may very well be a good thing for everyone in the long term, e.g. if it creates more jobs than it destroyed. But it may also happen that a new technology destroys jobs without creating any new ones. In that case, even if it produces an increase in total wealth, it may be bad overall (at least for people whose values assign substantial i... (read more)