What We Do Is We Take [A] Responsible AI Approach,” Says Truist’s Chandra Kapireddy

As AI technologies become more advanced, the need for ethical oversight is more and more urgent. Firms that introduce AI without a well-established framework are in danger of unintended biases, privacy issues, and accountability flaws that have the potential to undermine public trust. Truist, the top financial institution in the U.S., is addressing this threat head-on by infusing responsible AI principles into the core of its operations. Generative AI has proved to be incredibly useful for repetitive task automation, deciphering intricate patterns in data, and improving customer interaction, but it is not perfect. AI models, most notably large language models (LLMs), might sometimes produce information with certainty, which is a severe threat in applications where accuracy is not negoti