On Monday, January 13, a letter
signed by over 200 economists, including several Nobel Prize winners, was
released to the media. It was entitled
"We Must Act Now," which leads naturally to the question, "Act
on what?"
The letter was admirably brief,
which is probably one reason it got so many signers. The less there is to quibble about, the more
people will sign onto something. In
addition to the economists, there are a total of more than 2300 other people
who signed it—everybody from students to artists and physicists.
So what exactly is it that all
these people agree on? I might as well
reproduce the entire thing here, as it's short enough. Here is all the text following the title,
from the official website:
A
Statement on AI’s Transformation of the Economy
- AI may become radically more powerful over the
next 10 years.
- This could drive an unprecedented transformation
of our economy, larger than the Industrial Revolution, but unfolding over
a vastly shorter time frame. It could bring risks, including large-scale
job displacement, as well as opportunities such as major gains in living
standards.
- Economists, policymakers and technology leaders
must act now to understand the economics of transformative AI and to build
the incentives, guardrails, and institutions needed to steer AI in a
direction that complements humans and benefits society.
The actions called for are (1)
understanding, and (2) building "incentives, guardrails, and
institutions" to make sure that AI "complements" humans (rather
than simply replacing them) and "benefits society," a mom-and-apple-pie
phrase that makes an appearance in many organizational ethics codes.
An article by Casey Newton on a
tech-watch newsletter called The Platformer quoted one of the organizers of the
letter, Erik Brynjolffson of Stanford, as saying that one of his main motivations
was to call for more and better research into the effects of AI.
Take employment, for example. Has AI led to increased employment, decreased
employment, spotty layoffs, or what? Even
the experts can't answer these questions very well. The one statistic that seems to be surviving
scrutiny over the last few months concerns the hiring of entry-level workers as
compared to hiring more experienced workers.
Entry-level hiring rates have
declined (2.7%, according to Newton) as hiring rates for more senior workers
have increased, by and large. Rates for
mid-career (35-40) workers increased 1.6%.
How much of these changes is due to
AI is impossible to say, although there is anecdotal evidence that a lot of the
gruntwork formerly done by young hires is now being handed off to AI by more
senior employees, perhaps the very ones who dealt with the newbies before AI
came along.
The comparison to the Industrial
Revolution is interesting, because that era led to a huge number of social as
well as economic changes that are still being felt today. It's not clear that use of AI in the
workplace will be as socially disruptive, unless you count the ways AI is used
in social media, in which case AI has already disrupted society,
especially in the political realm and among young people.
Returning to the question I asked
in the headline about whether 200 economists could be wrong about AI, the
answer is, "Absolutely!"
Modern economics as typically practiced has a lousy track record in
predicting even basic things like unemployment rates and recessions. But gazing at crystal balls is not everything
economists do. They also gather useful
data and point out significant trends to the rest of us, trends we can choose
to do something about.
So to the extent that economists see
a crying need for more AI-related statistics, they are probably right, as
they're the ones who use them the most.
The average Joe on the street is not prepared to meet this need, but AI
itself can probably be used to gather data on how it's affecting the economy.
As to what effects AI may have on
the workplace of the future, I read a useful analogy somewhere recently that
made sense to me. Steve Jobs liked to
say that personal computers were bicycles for the mind. After quoting Jobs, a writer I read recently
said that if PCs are bicycles, AI is an airplane for the mind. And after using AI frequently enough to get a
feel for what it can do in my own work, I tend to agree with that analogy.
Bicycles and airplanes are both
means of transportation, and it is important to remind ourselves that AI in its
many manifestations is, in the end, more of the same kind of thing we got when
computers came along. It is not a new
life form, it does not have ethical standing on its own, and it will not
develop consciousness or a conscience as we understand these terms. If it fulfills the hopes of many of its designers,
it will vastly increase the productivity of what George Gill calls "symbolic
manipulators"—programmers first, but also writers of all kinds, academics,
lawyers, and even politicians. But
making productivity of politicians better may turn out to be AI's final
frontier.
So far, it doesn't look like any
particular job category is slated for massive layoffs due simply to the
introduction of AI. That may change in
the future if AI is successfully coupled to affordable, effective, and above
all safe robots. Robot garbage
collectors, hazardous-equipment operators, and military personnel becoming a
reality could have widespread negative effects, not only on the job market but
on the nature of the enterprises touched by their work.
But until that happens, the best thing
to do about AI seems to be what the doctors call "watchful
waiting." If we pick up any signs
that AI is unfairly penalizing a particular line of work, or is causing toxic
effects such as the teenage social-media-caused epidemic of depression and
anxiety in new areas, it's time to do something about it. Applying draconian precautionary actions such
as a wholesale shutdown of AI research seems not to be in the cards, as it
would be nearly impossible to apply anyway.
Let's hope those who are qualified
to respond to the call for more AI-related economic data step up and do so, and
hope that the rest of us can benefit from what they find out, and take action
if
necessary. But so far, panic is not advised.
Sources: The statement "We Must Act Now" and
its signatures can be viewed directly at tps://www.wemustactnow.ai/. Casey Newton's article "The loudest
warning about AI and jobs yet" can be viewed at https://www.platformer.news/ai-jobs-warning-brynjolfsson-acemoglu/.