Latest / Diplomacy and International Relations / When AI and Algorithms Rewrite the Rules of Statecraft
Transcript
- 0:00Welcome to Diplomacy and International Relations.
- 0:03You know the show where we focus on international relations,
- 0:05global politics and Danish political developments.
- 0:10I'm your host and today we're looking at something really
- 0:13incredible. Yeah, we.
- 0:14Are I'm excited to get into this one me.
- 0:15Too, we're going to explore the massive structural and
- 0:19technological transitions that are basically, well, reshaping
- 0:23global sovereignty today. Specifically, we're talking
- 0:26about how artificial intelligence is entirely
- 0:28rewriting the rules of statecraft.
- 0:30Right. And how nations like Denmark,
- 0:32for example, are racing to secure both their technological
- 0:36and environmental futures in the middle of all this.
- 0:38Exactly. But hey, before we jump into the
- 0:40analysis, just a quick reminder for you to follow and subscribe
- 0:43so you don't miss our updates. You can also support the show on
- 0:46Patreon, which is awesome because it gets you access to
- 0:49bonus content and our weekly and monthly briefings on Dhemish
- 0:52politics. Yeah, those briefings are really
- 0:54worth checking out. Definitely the link for that is
- 0:56right down in the description. Also, I need to add a quick
- 0:59disclaimer here. Our sources today touch on some
- 1:02highly politicized scenarios, right?
- 1:05Things like US, China, competition, Russia and Ukraine,
- 1:08the China, Taiwan situation. Right, heavy topics.
- 1:11Very heavy. So we want to be absolutely
- 1:13clear with you. We do not take sides or endorse
- 1:16any specific viewpoints here. Our goal is strictly to
- 1:19impartially convey the facts and the ideas just as they are
- 1:22presented in the original source material.
- 1:25Exactly. We're just looking at the data
- 1:26objectively because honestly that's the only way to
- 1:28understand the sheer scale of what's happening.
- 1:31The whole landscape of international relations is
- 1:33shifting from human paced diplomacy to what sources call
- 1:38algorithmic power. OK, let's unpack this because I
- 1:41think a good way to visualize it is well, imagine a high stakes
- 1:44global chess match, but instead of grandmasters relying on their
- 1:48own intuition, world leaders are getting their next moves
- 1:51whispered to them by these lightning fast, totally opaque
- 1:54supercomputers. If we connect this to the bigger
- 1:56picture, it fundamentally breaks traditional international
- 2:00relations theories. They just can't explain today's
- 2:03landscape anymore. Right, because classic realism
- 2:05assumes that sovereign states are the ones holding all the
- 2:07power, right? Exactly.
- 2:09But AI creates this new dynamic of, well, liquid power.
- 2:14It's transnational, it's highly decentralized, and it's largely
- 2:18held by private tech companies, not governments.
- 2:21Which is wild to think about. And constructivism is struggling
- 2:23too, right? Oh, completely.
- 2:25Constructivism relies on human norms shaping reality.
- 2:29But now algorithms are acting as these non human norm
- 2:33entrepreneurs. They're basically creating a
- 2:35post truth algorithmic reality by deciding what information you
- 2:39even see. So we're moving away from
- 2:40traditional public diplomacy, where human analysts synthesize
- 2:44intelligence over like weeks or months, and instead we're
- 2:47relying on predictive modeling operating in milliseconds.
- 2:49Right, milliseconds. But wait, if leaders are relying
- 2:52on algorithms to make split second decisions, what happens
- 2:54when those artificial advisers are just, well, wrong or biased?
- 2:59That is the big question. The research points to a major
- 3:03psychological trap called automation bias.
- 3:06Automation bias. OK, what's that?
- 3:07It's basically when decision makers are under immense
- 3:10pressure and they just blindly trust whatever the AI
- 3:14recommends. Yeah, because the AI sounds so
- 3:16confident. Data-driven.
- 3:18Well. Let me push back on that a
- 3:19little bit. Is the machine actually the
- 3:21enemy here, or is the real danger just human cognitive
- 3:25overload? Like, maybe leaders are just so
- 3:27overwhelmed by data that they're basically abdicating their
- 3:30responsibility to a screen. I mean, the cognitive overload
- 3:33is definitely real, but the danger of trusting the screen is
- 3:36what analysts call the perception gap, because
- 3:39different national AI models interpret the exact same event
- 3:42completely differently depending on their training data.
- 3:45Oh wow, OK, do we have a specific example of?
- 3:46That yeah, the sources highlight a scenario in the South China
- 3:50Sea. So imagine AUS trained AI model
- 3:53observing a Chinese naval drill. Because of its western training
- 3:56data, it might flag that drill as an aggressive blockade.
- 4:00But a Chinese trained AI looking at the exact same patch of ocean
- 4:04might view a standard US patrol as a hostile incursion because
- 4:08it's data priority ties domestic territorial frameworks.
- 4:11So they're both screaming at their commanders that the other
- 4:13side is attacking. That's terrifying.
- 4:15It is, and the studies backed this up.
- 4:18Research shows that US and UK models are actually 25 to 40%
- 4:23more prone to suggesting aggressive responses in conflict
- 4:26simulations compared to Chinese or Russian models.
- 4:29Wait, really? Up to 40%.
- 4:31Yeah, even smaller military AI models show a 35% variance on
- 4:36foreign policy tasks purely based on what they were trained
- 4:39on. That is staggering.
- 4:40And it's not just happening in military simulations, right?
- 4:42It's bleeding into everyday life.
- 4:44Algorithms are actively fighting this like silent daily war for
- 4:48public. Opinion.
- 4:49Exactly. It's completely altering
- 4:50cognitive security through deep fakes in these massive digital
- 4:53echo chambers. The weaponization of information
- 4:56is very real. Right, the source just talk
- 4:58specifically about the China Taiwan information front, how
- 5:01are influence operations using AI there?
- 5:04Well, AI driven influence operations are subtly
- 5:06normalizing certain narratives and dividing populations from
- 5:10within. It's not always obvious
- 5:12propaganda, and analysts estimate this could sway public
- 5:15opinion on Cross Strait tensions by as much as 15 to 20%. 15 to
- 5:1920% just from algorithmic nudging.
- 5:22So how are traditional diplomats even supposed to fight back
- 5:26against that? What's fascinating here is that
- 5:28diplomats are actually changing tactics.
- 5:30Instead of fighting the system, ministries of foreign affairs
- 5:33are starting to treat algorithms as audiences.
- 5:36Audiences like they're performing for the code.
- 5:38Basically, yes. They've realized they can't just
- 5:40hack the system, so they mingle with it.
- 5:43They add specific tones or trending hashtags to their
- 5:45communications to breach these digital castle walls, so to
- 5:50speak. That is wild.
- 5:51They're crafting foreign policy to appease the algorithmic food
- 5:54critics on social media platforms just to get their
- 5:57message out. Yeah, it's a totally new era of
- 5:59strategic communications. But here's the thing, If whoever
- 6:02controls the algorithm controls the global narrative, then
- 6:05whoever owns the physical servers running those algorithms
- 6:08holds the ultimate power, right? Absolutely.
- 6:11And that leads us straight into the global race for digital
- 6:13sovereignty, because right now, AI power is incredibly
- 6:16concentrated. The US hosts roughly 75% of
- 6:20global AI compute capacity. 75%, yeah.
- 6:24And China has about 15%, which leaves roughly 160 other nations
- 6:28almost totally dependent on foreign tech.
- 6:31Which poses a huge risk for the global S, right?
- 6:33The sources call it algorithmic colonialism.
- 6:36Algorithmic colonialism. It means these nations become
- 6:38passive recipients of technologies and rules that they
- 6:42had absolutely no part in shaping.
- 6:44So what does this all mean for the rest of the world?
- 6:46I mean, how are other regions responding?
- 6:48Well, supply chains are being radically reshaped and reshored
- 6:51to secure access to microchips. China is pushing for total
- 6:55self-reliance and Europe is fighting back hard with the EUAI
- 6:59Act and a €200 billion AI Continent Action plan.
- 7:03Right. And we're seeing startups
- 7:05stepping up too, like France's Mistral AI.
- 7:07Exactly. We're also seeing the rise of
- 7:09the sovereign cloud, Things like Cap Gemini and Oranges Blue in
- 7:13France, or NATO's air gapped Google Cloud.
- 7:16The goal is to keep sensitive data strictly within national
- 7:19borders. OK.
- 7:20So this pursuit of sovereign control and like systemic
- 7:24resilience, it's clearly not just about digital assets, which
- 7:27actually brings us to Denmark and how they are navigating
- 7:30their own massive structural transformation.
- 7:32Right. It's a perfect parallel because
- 7:34achieving digital sovereignty requires the exact same
- 7:37foresight as achieving environmental sovereignty, and
- 7:40Denmark is pushing hard for climate neutrality by 2045.
- 7:43Yeah, and the numbers are pretty impressive.
- 7:45They're on track for their 70% reduction target by 20-30.
- 7:48In fact, EUETS emissions for Danish industry already fell
- 7:5215.5% just from 2022 to 2023. Which is fantastic, fantastic
- 7:57progress. But hitting that 2045 goal is
- 7:59going to require immense immediate action.
- 8:02It requires massive domestic infrastructure.
- 8:04Both green energy and bio solutions are existential
- 8:07requirements for national competitiveness now.
- 8:09Right, Things like power to X and carbon capture, utilization
- 8:13and storage or CCUS, plus building out cross-border
- 8:17hydrogen networks. Exactly.
- 8:19And just like the AI arms race, the labor and resource
- 8:21requirements are staggering. The Danish industrial sector
- 8:25alone will need 15,000 additional full time employees
- 8:28every single year up to 2035. Wait 15,000 a year just for the
- 8:33industrial sector? Just for that sector, yes.
- 8:35And on top of that, Denmark is currently only 4% circular in
- 8:38terms of resource use, so they need a massive boost in resource
- 8:41efficiency. Which explains why they recently
- 8:43passed the Green Tripartite Agreement, right?
- 8:46To map out the future of agricultural land use and make
- 8:49sure they can actually sustain this transition.
- 8:51Exactly. It's all about heavy R&D
- 8:53investment and cross sectoral supply chain control.
- 8:56OK, so whether we're talking about managing a national
- 8:58climate transition or navigating an algorithmic conflict, how do
- 9:02human institutions actually govern all of this?
- 9:04Like how do we manage this hyper complex fog of war?
- 9:08This raises an important question.
- 9:10The consensus right now is the urgent need for a digital Geneva
- 9:15Convention, likely spearheaded by bodies like the UN and NATO.
- 9:19And what would that actually look like?
- 9:20The sources mentioned 3 core pillars.
- 9:22Right, Yes. First is AI transparency, second
- 9:25is robust accountability frameworks.
- 9:27And the third, which is arguably the most critical, is a strict
- 9:31human in the loop policy for any high stakes or lethal decisions.
- 9:36Meaning a human always has to make the final call.
- 9:38The AI can't just act on its own.
- 9:40Exactly. But it's also important to
- 9:42remember that AI isn't just a threat, it can be a really vital
- 9:46diplomatic tool if we use it right.
- 9:48Oh, definitely. There's that fascinating Oxford
- 9:50University study on the Ukraine crisis.
- 9:53They utilized Twitter data from 28 different international
- 9:56accounts to cut through the diplomatic fog of war.
- 9:58Right. And they used AI to run 3
- 10:00specific types of analytics on that data.
- 10:03Descriptive which asks what is happening, predictive which asks
- 10:06what will happen, and prescriptive which asks what
- 10:09should be done. It just shows that AI with the
- 10:12right governance can map out these insanely complex
- 10:16negotiations and actually serve global peace instead of just
- 10:20fueling accidental conflicts. Absolutely.
- 10:22It's a tool. It all depends on how we choose
- 10:25to govern it. Which leaves us with a lot to
- 10:27think about. I want to leave you the
- 10:29listener, with one final thought to Mull over As these AI models
- 10:34become more advanced and agentic, are we approaching a
- 10:37future where diplomatic treaties are negotiated entirely by
- 10:40algorithms in milliseconds? While human leaders just stand
- 10:43by and sign the paperwork. Exactly.
- 10:45I mean, if that happens, who is really doing the negotiating
- 10:48them? Yeah, is the $1,000,000
- 10:49question. It really is.
- 10:51Well, thank you so much for your time today and thank you all for
- 10:54joining us for this analysis. Please remember to follow the
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- 11:03Thanks for listening everyone. We'll catch you next time on
- 11:06diplomacy and international relations.