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The Role of AI in Detecting and Mitigating Behavioral Biases
Abstract
Behavioral biases distort human judgment, often steering financial decisions away from rational outcomes. As fields like neurofinance and behavioral economics shed light on the emotional and cognitive triggers behind these biases, artificial intelligence is emerging not just as a diagnostic tool—but as an active agent in correcting flawed reasoning. This chapter explores the nuanced role of AI in detecting and mitigating behavioral biases across financial domains. Drawing from machine learning, behavioral modeling, and cognitive computing, it examines how AI systems can identify patterns of irrationality and offer real-time interventions. But this partnership is not without friction; AI systems themselves may inherit or amplify biases, raising urgent questions of transparency, ethical design, and trust. Ultimately, this chapter advocates for a reflective, interdisciplinary approach—one that treats AI not as a cold corrective mechanism, but as a collaborator in our evolving understanding of human judgment and its limitations.
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