BIS calls for AI collaboration among central banks
Some central banks have already begun integrating AI into their operations in the past few years.For instance, the European Central Bank implemented the Athena project in 2023. It uses AI to assist banking supervisors in analyzing extensive documentation to detect irregularities.Additionally, central banks are employing AI to assess climate-related financial risks. The BIS, alongside several central banks, started the experimental Gaia AI project in March to examine corporate disclosures on carbon emissions and other environmental factors, providing a clearer picture of climate-related financial risks.While recognizing the benefits of AI, the BIS report underscores the need for central banks to remain vigilant in adopting the technology as a fundamental component in the discharge of their duties.For instance, reliance on AI heightens concerns about cyber attacks, a top worry in the financial industry. Traditional phishing, where attackers steal login credentials by masquerading as reputable entities, is exacerbated by generative AI’s ability to create more convincing phishing emails, malware and fake identities.As such, advancements in AI also expose financial institutions to greater risks of fraud. Furthermore, they introduce new cyber risks, such as prompt injection attacks and data poisoning, which can lead to AI manipulation.”In sum, there is an urgent need for central banks to collaborate in fostering the development of a community of practice to share knowledge, data, best practices and AI tools,” the BIS report concludes.”In the light of rapid technological change, the exchange of information on policy issues arising from the role of central banks as data producers, users and disseminators is crucial.”
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