Harnessing ChatGPT in Financial Services: Opportunities and Challenges

Abstract

The introduction of ChatGPT in the banking sector has resulted in a massive revolution of technology engagement. However, the wide use of the technology calls for great ethical concerns. Let this piece be the window through which you peer into these policy issues: framing impartial results, creation of fake information to head financial decisions, invasion of privacy (and its bedfellow security), operations tacitness (and non-transparency due to GPT), job losses and not forgetting the legal jargon tsunami. This document emphasises action and not merely words; it challenges financial institutions to deal with the teething troubles before they are acted upon and consider laws enactment. The importance of an ethical framework gets highlighted—with events that range from continental drift, which might appear to be promising not only academic pastures on AI’s unexplored attachment with money but also bringing into focus blind spots in the real world. One of the most crucial factors of this kind is decreasing the bias by including more variables in the training datasets and measuring more frequently, which minimises the possible negative outcomes.

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