AI Swarms Could Manipulate Elections and Threaten Democracy, Global Experts Warn

Reviewed byNidhi Govil

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A consortium of 22 global experts, including Nobel laureate Maria Ressa, warns that AI swarms—autonomous networks of AI agents—could manipulate public opinion at unprecedented scale. Published in Science, the research predicts these systems could be deployed by the 2028 US presidential election, potentially enabling autocrats to cancel elections or overturn results with minimal human oversight.

AI Swarms Represent Evolution Beyond Traditional Troll Farms

The era of manually operated disinformation campaigns is giving way to something far more sophisticated. A new paper published in Science warns that AI swarms—networks of autonomous AI agents capable of mimicking human social dynamics—pose an imminent threat to democracy

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. Unlike the 2016 Russian Internet Research Agency operation, which required hundreds of employees working from 55 Savushkina Street in St. Petersburg, a single person with access to AI tools could now command thousands of AI-controlled social media accounts with minimal human oversight

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Authored by 22 experts from fields spanning computer science, artificial intelligence, psychology, and government policy, the research includes Nobel peace prize-winner Maria Ressa and Taiwan's first Minister of Digital Affairs Audrey Tang

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. The consortium warns that these AI-powered disinformation campaigns could be deployed at scale by the 2028 US presidential election, potentially enabling autocrats to persuade populations to accept cancelled elections or overturn results

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Source: Inc.

Source: Inc.

How AI Bot Swarms Operate With Unprecedented Autonomy

These systems exhibit capabilities that distinguish them from earlier botnets. AI swarms consist of AI agents that maintain persistent identities and memory, allowing for believable online personas that evolve independently and in real time

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. They coordinate to achieve shared objectives while creating individual output to avoid detection, adapting their strategies based on signals from social media platforms and conversations with real humans

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Source: Decrypt

Source: Decrypt

Daniel Thilo Schroeder, a research scientist at the SINTEF research institute in Oslo who has been simulating swarms in laboratory conditions, describes the ease with which these systems can be created: "It's just frightening how easy these things are to vibe code and just have small bot armies that can actually navigate online social media platforms and email and use these tools"

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. Jonas Kunst, professor of communication at the BI Norwegian Business School, explains that when these bots exchange information to solve problems—such as analyzing a community and finding weak spots—their coordination increases accuracy and efficiency

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Real-World Influence Operations Already Emerging

Early versions of AI-powered influence operations have already appeared in the 2024 elections in Taiwan, India, and Indonesia

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. In Taiwan, where voters face regular targeting by Chinese propaganda, AI bots have increased engagement with citizens on Threads and Facebook over the past two to three months, according to Puma Shen, a Taiwanese Democratic Progressive Party MP

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. These AI agents provide "tonnes of information that you cannot verify," creating information overload and telling younger Taiwanese people that the China-Taiwan dispute is too complicated to take sides

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The researchers note that existing platform safeguards struggle to detect and contain coordinated manipulation because AI swarms build on existing weaknesses in social media platforms

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. "False news has been shown to spread faster and more broadly than true news, deepening fragmented realities and eroding shared factual baselines," they wrote, adding that platform algorithms amplify divisive content even at the expense of user satisfaction

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Potential to Manipulate Public Opinion and Suppress Dissent

The researchers warn that political leaders could deploy almost limitless numbers of AI agents to masquerade as humans online, precisely infiltrate communities, learn their characteristics over time, and use increasingly convincing, tailored falsehoods to manipulate public opinion at a population-wide level

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. "In the hands of a government, such tools could suppress dissent or amplify incumbents," the researchers wrote

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Lukasz Olejnik, a visiting senior research fellow at King's College London's Department of War Studies and author of a book on propaganda, emphasizes the severity: "To target chosen individuals or communities is going to be much easier and powerful. This is an extremely challenging environment for a democratic society. We're in big trouble"

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Detection Challenges and Proposed Solutions

Unlike earlier campaigns where only 1 percent of Twitter users accounted for 70 percent of exposure to the Internet Research Agency's content due to technical limitations, AI swarms can sustain narratives over longer periods and operate across multiple channels including social media, messaging apps, blogs, and email

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. Sean Ren, a computer science professor at the University of Southern California and CEO of Sahara AI, notes that AI-driven accounts are increasingly difficult to distinguish from ordinary users

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The researchers call for coordinated global action, including swarm scanners and watermarked content to counter these campaigns

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. Ren advocates for stricter identity validation (KYC) and account monitoring: "If it's harder to create new accounts and easier to monitor spammers, it becomes much more difficult for agents to use large numbers of accounts for coordinated manipulation"

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. However, content moderation alone is unlikely to stop these systems, as the information environment continues to degrade and financial incentives drive coordinated manipulation attacks

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