Risks and Impacts of AI Transition
Bill, you said that there's no plan to ease the
entry into the
AI era, and that we underestimate the impact of,
of AI.
In what way?
Well, over the last year, these AIs have gotten dramatically more
powerful, even faster than I expected, and they're
now capable of causing, um, cyber attack
risk, bio-terrorism risk, psychosocial risk.
And I have to say I'm kind of shocked that the exact criteria
that we review these models with and the actions we take to
minimize the harms are really completely missing,
and the broad dialogue,
we get all of society talking about the trade-offs here, uh,
that's just not taking place. And so, uh, you know, we've gotta
minimize these harms through careful review and criteria,
and we have to accelerate the good stuff or else,
you know, we could have a complete backlash, uh,
that,
uh, AI would suffer from.
I, I talked to Dario Amodei, uh, last May.
He was estimating 50% of all entry level white collar jobs could be
eliminated between... in the next one to five years, 10 to 20%
unemployment possibly in the next, uh, five years.
You write about the, what you think are the three big risks
that come with the transition to A- AI. Can you just go through them?
Yeah, so
the, there's a big risk of
people with ill intent, either
defrauding people,
uh, cyber attacks, or in the extreme case,
bio-terrorism. So, you know, these, um,
negative uses, uh, we need to monitor
things like creating a, a dangerous virus, uh,
to, to see if that's happening. Another problem will
be the job market change, which has not happened
yet, but because the AIs are getting so reliable
now, uh, they can be used for a variety of
well-defined
jobs, and,
you know, that would, uh, be a tough thing to
adjust to. And finally, just the, uh, psychosocial
effect that a kid might have all their friends being
AIs and not be pushed to deal
with real humans and, you know, all the learnings and joy you
get, uh, by being engaged socially.
And so every one of those things, uh, I'm
very concerned and I wanna slow down or eliminate
those negative effects.
Well, I mean, is that possible? I mean, on, on the job loss,
y- you know, uh, the, the counterargument
that some people make is look, uh, you
know, at every technological change there's been
job
losses. You know, with the electric light bulb,
lamplighters lost their
jobs. You, in this essay, make the argument that a lot of
past technological changes, the job losses have, have taken
place over a longer period of time, even several generations in some
cases. These job losses will come much quicker
and all at once.
Yes, it's across every sector of the economy,
uh, initially with white collar, but then
as the humanoi- humanoid robots come along,
blue collar as well.
You will have, for the first time,
the equivalent of human cognition.
So that past history misleads people because there we
were richer and so jobs like, you know, designing rides at
Disneyland, having more psychiatrists, we were richer enough
to create those additional jobs. Here, as the
machine gets better, uh, than human for
well-defined jobs and works 24 hours a day,
it's going to be a
bigger deal. And so the, the bar for somebody coming along
and saying this
time is different is very high, but I'm staking my
reputation completely on the fact that, uh,
in terms of the impact on the job market, this is very
different than any technology that I've been
involved in or that, uh, has come a- across in human
history.
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