Optimistic, but not necessarily naive. 

Will the proliferation of affordable AI decimate the middle class? - Marginal 
REVOLUTION
http://marginalrevolution.com/marginalrevolution/2016/04/will-the-proliferation-of-affordable-ai-decimate-the-middle-class.html
(via Instapaper)

Here is how I think about these issues. The Artificial in AI can sometimes 
mislead so let’s start by getting rid of the A and asking instead whether more 
NI, Natural Intelligence, will decimate the middle class. For example, will 
increasing education in China decimate the American middle class? I don’t think 
so.

As I said in my TED talk, the brainpower of China and India in the 20th century 
was essentially “offline”. Instead of contributing to the world technological 
frontier the people of China and India were just barely feeding themselves. 
China and India are now coming online and I see the increase in natural 
intelligence as one of the most hopeful facts for the future. It’s been 
estimated that a reduction in cancer mortality of just 10 percent would be 
worth $5 trillion to U.S. citizens (and even more taking into account the rest 
of the world). A reduction in cancer mortality is more likely to happen with a 
well-educated China than with a poorly educated China. So we have a huge amount 
to gain by greater NI.

In the case of low-skill labor the rise of China has hurt some US low-skill 
workers (although US workers as a whole are almost certainly better off due to 
lower prices). The US has historically had an abundance of highly-skilled labor 
and with greater education around the world we have less of a competitive 
advantage. In the case of high-skill labor, however, I think the opportunities 
for gains are much greater than with competition for low-skill labor. Ideas are 
what drives growth and ideas are non-rivalrous, they quickly spread around the 
world. The more idea creators the better for everyone. At the world level, for 
example, the standard of living and the growth rate of world GDP have both 
gotten larger as population has increased.

Greater foreign intelligence and wealth could be a threat if intelligence turns 
from production to destruction (this is also a potential problem with AI). We 
probably can’t keep China poor, even if we tried, and any attempt to try to do 
so would likely backfire in the worst possible way. Thus, if want to keep 
high-skill Chinese workers working on medical rather than military 
breakthroughs, we must preserve a peaceful world of trade. Indeed, peace and 
trade become ever more important the richer the world gets.

Now let’s turn from NI to AI. For the foreseeable future I see AI as being very 
similar to additional NI. Smart people in China aren’t perfect substitutes for 
smart people in the United States and there are also plenty of opportunities 
for complementarity. Similarly AI is not a perfect substitute for NI and there 
are plenty of opportunities for complementarity. An AI that drives your car, 
for example, complements your NI because it leaves more time for more 
productive tasks.

(What happens when AI does become a perfect substitute for NI? We could easily 
be 100 years or more from that scenario but my foresighted colleague, Robin 
Hanson, has a new book The Age of EM that discusses the implications of 
uploads, human intelligence copied into software—Hanson’s book is the most 
complete and serious scenario analysis of the implications of a new technology 
ever written but most of won’t live long enough to know whether he is right 
although Robin might.)

Thus, the analysis of AI and NI is similar except for one important fact. As 
Chinese workers become better educated a significant share of the gains will go 
to Chinese workers (although by no means all). AI, however, is produced by 
capital. But in our world capital isn’t scarce. The world is awash in capital 
and computing power is getting ever-cheaper. AI isn’t like an oil field owned 
by a handful of people. AI will be cheap and ownership will be widespread. Just 
look at your cellphone—it’s faster and more powerful than a multi-million 
dollar Cray-2 supercomputer of 1990. Moreover, in 1990 there were only a 
handful of Cray-2s and today there are billions of cell-phone super-computers 
including hundreds of millions and soon billions in poor countries. The gains 
from AI, therefore, will flow not to capital but to consumers. So if anything 
the gains from more AI are even larger than the gains from more NI.

>From my answer on Quora.



Sent from my iPhone

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