Artificial Intelligence (AI), particularly Generative AI (GenAI), is reshaping the financial services landscape through revolutionary products, personalized customer experiences, and streamlined operations. Yet, this promise is over-shadowed by significant challenges:
- The Black Box Conundrum: Financial institutions are wary of AI’s “black box” nature. How can they trust models whose decision-making processes are opaque? This lack of transparency hinders regulatory compliance and erodes stakeholder trust.
- The False Positive Concern: The financial sector grapples with the high costs of false positives. Erroneous fraud alerts, inaccurate risk assessments, and unwarranted compliance flags lead to high cost, operational inefficiency and damaged customer relationships. This paper explores how Explainable AI (XAI) offers a solution.
Read more in our POV EXPLAINABLE AI AND INTERPRETABILITY BUILDING TRUST AND REDUCING FALSE POSITIVES IN FINANCIAL GEN AI MODELS
