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On Sat, 15 Feb, 12:01 AM UTC
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Our reliance on AI-generated news could lead to more bank runs, per new report
Fake news reports and disinformation campaigns driven by generative AI pose a significant risk to causing bank runs, according to a new study out of the U.K. Per the research firm, Say No to Disinfo, and communications company Fenimore Harper, generative AI systems can easily be leveraged to create fake stories appearing on social media that suggest banks suffer from specific security deficiencies or that their depositors' money is not safe. Recommended Videos "As AI is making disinformation campaigns easier, cheaper, quicker and more effective than ever before, the emerging risk to the financial sector is rapidly growing but often overlooked," the report said. It also notes that web-based and mobile banking transactions can transfer an account's funds in seconds. Specifically, the study found that for every ~$12 worth of social media advertising spent, scammers could pull in as much as $1.2 million in fraudulent spending. This potential danger demands that banks and other financial institutions monitor account withdrawals to identify when false information instigates their customer behavior, according to the study. "Whilst we believe an industry event like this is unlikely, it is still possible, so it's essential that financial institutions are prepared," Woody Malouf, Revolut's head of financial crime, told Reuters. However, the financial institutions reportedly remain bullish on the emerging technology. "Banks are working hard to manage and mitigate risks around AI and the regulatory authorities are looking at the potential financial stability challenges the technology poses," UK Finance told Reuters. This news comes as AI companies and advocates meet in Paris as part of the AI Summit in France occurring this week where JD Vance previously argued that the U.S. can, and must, produce "the most powerful" artificial intelligence processors in the world.
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AI-generated content raises risks of more bank runs: UK study
The study pointed out that generative AI could create fake news stories about customer money being unsafe or memes mocking security, which could spread on social media through paid ads. Following Silicon Valley Bank's collapse in 2023, where $42 billion was withdrawn in 24 hours, banks and regulators are increasingly concerned about bank runs fuelled by social media.Fake news generated by artificial intelligence and spread on social media is heightening the risks of bank runs, according to a new British study that says lenders must improve monitoring to detect when disinformation risks impacting customer behaviour. Generative AI can be used to create fake news stories saying that customer money is not safe, or memes appearing to joke about security issues, which can be spread on social media using paid adverts, said the study, published by UK research company Say No to Disinfo and communications firm Fenimore Harper. Banks and regulators are increasingly concerned about the risks of bank runs fuelled by social media, following the collapse of Silicon Valley Bank in 2023, in which depositors withdrew $42 billion in 24 hours. Advances in AI have supercharged these risks. The G20's Financial Stability Board warned in November that generative AI "could enable malicious actors to generate and spread disinformation that causes acute crises", including flash crashes and bank runs. Say No to Disinfo showed sample AI-generated content to UK bank customers and found that a third were "extremely likely" to move their money after seeing it, with a further 27% "somewhat likely". "As AI is making disinformation campaigns easier, cheaper, quicker and more effective than ever before, the emerging risk to the financial sector is rapidly growing but often overlooked," the report said, noting that online and mobile banking meant people can move money in seconds. The study estimated that for every 10 pounds ($12.48) spent on social media adverts to amplify the fake content, as much as 1 million pounds of customer deposits could be moved. The estimate was calculated by using average deposits held by UK customers, the cost of social media adverts, and estimates for how many people would see them. Banks need to monitor media and social media mentions, and such monitoring must be integrated with withdrawal monitoring systems to identify when malicious information is affecting customer behaviour, the researchers said. Asked about the study, Revolut's head of financial crime, Woody Malouf, said the London-based fintech conducts real-time monitoring for emerging threats among its customers and "across the broader ecosystem". "Whilst we believe an industry event like this is unlikely, it is still possible, so it's essential that financial institutions are prepared," he said, adding that social media platforms must play a bigger role in stopping threats. Other financial institutions contacted by Reuters, including NatWest and Barclays, declined to comment or did not respond to requests for comment. While regulators have expressed concern about AI's overall impact on financial stability, banks are broadly optimistic about the technology's impact. "Banks are working hard to manage and mitigate risks around AI and the regulatory authorities are looking at the potential financial stability challenges the technology poses," industry body UK Finance said. The report's release was unrelated to an AI Summit in France this week, at which politicians and industry executives focused on promoting the spread of AI, a marked shift from the previous summit's focus on managing its risks. ($1 = 0.8013 pounds)
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A new UK study reveals that AI-generated fake news spread on social media could significantly increase the risk of bank runs, prompting calls for improved monitoring and preparedness in the financial sector.
A new study conducted by UK research firm Say No to Disinfo and communications company Fenimore Harper has raised alarm bells about the potential for AI-generated fake news to trigger bank runs. The report highlights how generative AI technologies can be exploited to create and disseminate false information about banks, potentially leading to rapid withdrawals of customer deposits 1.
The study reveals that generative AI can be used to craft convincing fake news stories or memes suggesting that customer money is unsafe or mocking bank security. These fabricated contents can then be spread rapidly through social media platforms using targeted advertising 2.
The researchers estimate that for every £10 ($12.48) spent on social media advertisements to amplify fake content, up to £1 million of customer deposits could be moved. This alarming ratio underscores the potential for small-scale disinformation campaigns to have outsized impacts on financial institutions 2.
To gauge the potential impact of AI-generated disinformation, Say No to Disinfo presented sample AI-generated content to UK bank customers. The results were concerning:
These findings suggest a high level of susceptibility among bank customers to well-crafted disinformation campaigns.
The study points out that the risks of bank runs have been exacerbated by technological advancements:
The combination of these factors creates a perfect storm for potential financial instability.
In light of these findings, the study recommends that banks and financial institutions take proactive measures:
Woody Malouf, Revolut's head of financial crime, emphasized the importance of preparedness: "Whilst we believe an industry event like this is unlikely, it is still possible, so it's essential that financial institutions are prepared" 2.
The potential for AI-driven financial instability has not gone unnoticed by regulators. In November, the G20's Financial Stability Board warned that generative AI could enable malicious actors to generate and spread disinformation causing acute crises, including bank runs 2.
Despite these concerns, the financial industry remains optimistic about AI's overall impact. UK Finance, an industry body, stated that "Banks are working hard to manage and mitigate risks around AI and the regulatory authorities are looking at the potential financial stability challenges the technology poses" 2.
As the AI landscape continues to evolve, the balance between harnessing its benefits and mitigating its risks remains a critical challenge for the financial sector and regulators alike.
Reference
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