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Inside the Pentagon's AI Revolution
Bloomberg
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1 day ago
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00:00
This is the third story in our series on where artificial intelligence is already making a
00:05
difference. Last week, it was teachers using AI in the classroom. This week is the effect it's
00:11
having on the huge bureaucracy that is the U.S. military, where it's not so much what is already
00:16
deployed as it is changing the entire theory of warfare and how to prepare for it.
00:22
The future of war is going to come when you take that very large quantity of vehicles and robotic
00:28
systems and marry it with an intelligence that can see, think, and act on the battlefield.
00:33
It's really about a changing nature of warfare where we're looking at how to incorporate autonomy
00:38
into all kinds of different operations. Warfare is going to be fought with a mixture of kind of a
00:44
human and a machine. The U.S. military has long put a premium on avoiding mistakes at all costs,
00:51
but with artificial intelligence, the government might need to take a page out of Mark Zuckerberg's
00:56
playbook. Move fast and break things if it's going to keep up with technological change.
01:01
We as an army have done an incredibly poor job over the last three or four decades of just saying,
01:08
hey, if you have an idea that we think could be powerful for soldiers, get it to us as quickly
01:12
as possible. The secretary of the U.S. Army, Dan Driscoll, is the point person for getting the
01:17
Pentagon to take a whole new approach driven in large part by AI. The way that we used to acquire
01:23
things as an army is, we'd have 16 steps that a thing would have to go through before we wrote
01:29
a check. And any of the stops along those 16 could send it back to the beginning. And with the
01:34
incentive structure where saying yes was punished and saying no was rewarded, most times it would end
01:40
up in this doom loop of kind of forever decision making. And we are collapsing all of that down.
01:45
So everyone will report directly to the chief of staff of the army and I,
01:49
and we will hold them accountable for going very quickly and testing new things and learning.
01:56
Former U.S. Department of Defense Deputy Secretary Kathleen Hicks agrees that these changes are
02:02
essential, but she also warns that they're not easy. To what extent is there resistance in the
02:08
Pentagon for really making the changes that AI may require? Culture change overall, I think,
02:13
is really our biggest challenge. And it isn't just in the Pentagon. It's all across the stakeholders
02:20
on Capitol Hill, throughout industry. There are a lot of invested incentives in doing things the way
02:27
they've always been done. But AI is being used especially away from the battlefield in terms of
02:34
bringing in lots of data and then using AI to quickly sift through that data and make sense of it.
02:40
So if you think back, for example, to the wars in Iraq and Afghanistan where Americans face challenges
02:48
around IEDs, these explosive devices that were often buried in the earth, you can imagine how AI
02:55
is already being used to look at pictures visually to understand different data that's coming in.
03:02
We really are just at the beginning of that maturation cycle where you could imagine different autonomous
03:09
systems. I think that is the next frontier. Ryan Seng is the president and co-founder of one of the
03:17
companies hoping to drive the change in the U.S. defense posture. Shield AI is an aerospace and
03:23
technology company moving at breakneck speed to develop the AI-powered drones Secretary Driscoll says he needs.
03:30
For the last 20 years, adversaries have modernized and enhanced their defense capabilities or their
03:37
warfighting capabilities. And our ability to deter conflict in the future depends on the adoption of
03:44
new technologies to make our warfighters more effective. And chief among them is AI and autonomy.
03:50
What does AI make available that otherwise you would not have from other technology?
03:55
I think the most fundamental thing that it does is it enables the deployment of effective mass on the
04:01
battlefield. You can see in Ukraine millions upon millions of drones and missiles being produced,
04:09
but they're limited in their ability to see, think and act based on what's going on in the battlefield.
04:14
They might be remote controlled by a very focused operator who's connected to them via fiber optic cable.
04:19
But this huge volume of robotic systems, whether they're drones, land vehicles,
04:23
or boats or undersea vehicles, don't have their own ability to see, think and act on the battlefield.
04:28
And then therefore their effectiveness is limited. The future of war is going to come when you take
04:34
that very large quantity of vehicles and robotic systems and marry it with an intelligence that can
04:40
see, think and act on the battlefield so that it is effective.
04:44
If you think of having to defend against a swarm of 1000 incoming drones, a human brain is not capable
04:51
of pulling off that decision making at that scale and the speed required. It's a really complex
04:57
problem that just human beings are not well suited to answer on their own. And then if you think that
05:02
you're in a wartime area and your enemy has those types of defensive capabilities that are run by
05:09
artificial intelligence, it's going to be really hard for a human being to plan an attack in that space.
05:15
And so in a lot of ways, what part of warfare may look like is artificial intelligence driven,
05:21
drone on drone fighting may be the new future of the front line for a while.
05:27
As Secretary Driscoll and his colleagues at the Pentagon spur the organization to develop
05:32
high tech weaponry for the future, they're watching it get deployed right now in Ukraine.
05:38
Ukraine is considered by many to be the Silicon Valley of war.
05:42
We are hoping to repeat those lessons learned through our processes and our systems here.
05:46
But what we do know is drone warfare is completely upending and altering how wars have been fought
05:53
and how people have thought about fighting. We have got to get to a place where we can update
05:57
things quickly. I was just a couple of weeks ago at a base and looking at one of our kind of air and
06:03
missile defense systems and the laptop that was running this system was 30 plus years old.
06:09
This soldier using it was 22. So this computer he is trying to use is eight years older than the
06:15
soldier. You have to be able to update things within two weeks. And so it is not just a failed
06:20
system. It is a sinfully failed system. There's been a lot of work from the U.S. military side with
06:28
Ukrainians. Also, our NATO allies work closely with the Ukrainians. The Brits, for example,
06:34
are very engaged in learning from what's happening there. The Russians are also learning and we have
06:41
seen improvements from them. But I do think we're very engaged looking at what's happening in the
06:46
Ukraine war and trying to learn our own lessons from it. It's not just AI and drones that are coming to
06:56
warfare. It's also new technology like autonomous vehicles as German AV trucking company Fernride is
07:03
demonstrating right now in Europe. Hendrik Kramer is the CEO. So right now we have this pressure cooker
07:11
moment in Europe where the geopolitical situation and the war in Ukraine and the potential conflict of
07:17
NATO in Europe with Russia is leading to a huge demand for unmanned systems. And ground autonomy,
07:24
unlike the drone systems in the air, it has not been deployed and developed. Therefore, I think the
07:30
impact will be broadly in defense and also civil logistics. So one of the most important defense
07:37
application is very similar to a hub-to-hub autonomous trucking product, where you are, for example, having
07:44
a coupling bridge between Poland and Lithuania, where Belarus and Russia are having this very small gap to
07:52
connect the Baltic states with Poland and mainland NATO countries. And I think this is one of the
07:57
applications where it will be very dangerous to put people into trucks on public roads. And therefore,
08:02
this is a fantastic application where the same technology that is working for civil or defense
08:08
or vice versa can be developed and scaled right now.
08:15
It's one thing to see the future. It's another to move aggressively to reach it.
08:19
And S.H.I.E.L.D. AI's Ryan Sang says there's still work to be done.
08:24
If that is the future of war, how much of it is in the present? How much is AI already being used in combat
08:31
situations? It's being used selectively today. It's not deployed at very large scale. And I think
08:37
a lot of that is just the friction that exists between defense departments globally and in industry.
08:45
If you look around the United States, I guess specifically, there's so many examples of industry
08:50
moving out at light speed. And our own defense department has shown its capability to mobilize at
08:55
light speed. But there has been a lot of friction in the acquisition system that slows down the
09:01
government industry partnership. And I think that has been responsible for slowing down the adoption
09:06
of A.I. despite many of the capabilities existing today and being battlefield ready today.
09:15
As promising as A.I. is in giving the United States new warfighting capabilities, it is not a
09:21
replacement for the soldier any more than it can be for your doctor or your teacher.
09:26
We're going to need everyone. It's all hands on deck, as I used to say at DOD. We need our
09:31
traditional defense manufacturers, particularly for the scale of manufacturing that we require for
09:38
their knowledge and deep expertise. And we need that innovation that's coming all across the sector,
09:44
but particularly from the startup community. At the end of the day, warfare has to remain a human
09:50
active judgment. But A.I. can really help bring speed and precision to all kinds of aspects of military operations.
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