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AI Fraud Prevention Disparities
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A U.S. Treasury report reveals disparities in AI fraud prevention capabilities between large and small financial institutions, advocating for data sharing. While most banking executives leverage AI and ML for fraud prevention, only a small percentage develop their own technologies due to costs.
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How can smaller financial institutions overcome the challenges in developing their own AI fraud prevention technologies?
In what ways can the combination of technology and critical thinking enhance overall financial crime prevention strategies?
What measures can be implemented to facilitate effective collaboration and data sharing among financial institutions?
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