By Jennifer S. Kang
“The greatest task before civilization at present is to make machines
what they ought to be, the slaves, instead of the masters of men.” ~
Havelock Ellis, 1922
Since the dawn of the Industrial Revolution, many have caught on to
the (rather intuitive) idea that “the role of humans as the most
important factor of production is bound to diminish in the same way
that the role of horses in agricultural production was first
diminished and then eliminated by the introduction of tractors”
(quoting Nobel Prize winning economist Wassily Leontief).
Up til now, however, there was generally enough to go around and we
have been working, rather unsuspectingly, alongside our machines.
Moreover, we have grown to love them, as technology has undeniably
increased our efficiency and productivity, thereby improving the world
(at least to a certain degree).
(Alan Greenspan maintaining that “hundreds of millions of people have
been pulled out of poverty of extreme poverty and starvation,
basically because we have competitive markets”).
But the 2008 Great Recession has changed all that. For the first
time, growth and employment in the US are starting to diverge; GDP is
up, but employment is still down. In fact, the average duration of
individual unemployment is nearly twice that of any previous postwar
recovery period. And the proportion of working-age adults with jobs
is at its lowest level since women began entering the labor force in
significant numbers.
In advance of November, joblessness is clearly a hot topic in American
politics. But the debate continues to focus on traditional contexts
like international trade (e.g., more protectionism!) and national
energy policy (e.g., drill baby drill!).
Little seems to be said about the fact that in the legal industry, for
example, the right software can enable one lawyer to do the work of
500. Or the fact that IBM’s supercomputer, Watson, recently flounced
the two most accomplished human contestants in Jeopardy’s history, by
means of its (or, er, his?) new pattern recognition software that
mimics human cognitive processes with incredible speed and accuracy.
And certainly, little more is said about the facts that (1) “companies
binged on new equipment and software” in recent years, even as
unemployment rates remained so high;
(2) companies are reporting record profits, even as mass joblessness
continues; and (3) U.S. corporate chiefs now earn more than 400 times
as much as their lowest-paid worker, in comparison to 40 times as much
in the 1970s.
It seems that in this day and age, there is almost nothing we can do
that machines can’t do better. Plus, they are often cheaper in the
long-run, and certainly more committed than we could ever be to our
jobs. Furthermore, they are (apparently) fluffing executive salaries;
as someone else put it, “machines work for free, but their benefits
end up in someone’s pocket.”
What does this all mean for us, and more importantly, for the
fundamental problem of distributive justice in the 21st-century?
Shouldn’t we at least be wondering?
