How banks' "hidden" AI could cause problems

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How banks'

Banks are increasingly integrating AI into their operations, often without full awareness of its implications. Technologies like customer service transcription, marketing tools, and fraud prevention systems may utilize AI in ways that are not transparent to all employees. This lack of clarity poses risks, especially as new regulations emerge to govern AI usage in the banking sector.

The rapid evolution of AI tools, such as generative AI, has made it easier for bank staff to experiment with these technologies. However, without a clear understanding of AI's role and the associated risks, banks may struggle to comply with regulations and maintain customer trust. Establishing a common understanding of AI and its applications is crucial for effective governance and risk management.

• Banks must understand AI integration to avoid regulatory issues.

• Generative AI is popular but not widely used in banking operations.

Key AI Terms Mentioned in this Article

Generative AI

Its popularity has surged, but it represents a small fraction of AI applications in banks.

Machine Learning

Many banks utilize machine learning models for decision-making processes.

AI Governance

Effective AI governance is essential for banks to protect customer information and meet regulatory standards.

Companies Mentioned in this Article

FICO

FICO's insights on AI usage in banking highlight the importance of compliance with credit regulations.

Bankwell Bank

Bankwell Bank's initiatives demonstrate the growing interest in AI among financial institutions.

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