Human-in-the-Loop AI Fraud Detection in Banking: Why Analysts Still Matter
AI fraud detection in banking works best when models, rules, graph signals, case evidence, and human analysts operate inside a governed feedback loop.
Dr.ES
Dr.ES is the founder of EdEconomy and writes about economics, banking, financial risk, fraud prevention, data analytics, artificial intelligence, and digital transformation. He holds a Doctor of Business Administration with a specialization in Analytics and has more than a decade of experience in banking, risk analytics, fraud prevention, enterprise reporting, data governance, and AI-enabled analytics within large regulated financial institutions. Views are personal and informational only.
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