There is no lack of hype around artificial intelligence. We have only begun to scratch the surface of what this powerful technology can do. While tech and financial services become more intertwined, cutting through the noise has become more difficult but also more crucial.

As a technology, AI is essential to advancing innovation, to creating efficiencies, and enhancing productivity while capturing opportunities by both incumbent financial institutions as well as fintechs. But it also comes with risks and potential for bias that will only deepen systemic inequalities if responsible AI is not operationalized. As such, it is essential for financial services leaders, managers, and organizations to act mindfully, reflectively and responsibly about AI so that they can make informed decisions.

This book provides a tailored overview of what AI specifically means for financial services, a highly regulated yet also disrupted industry. It investigated the current state of AI applications in financial services today along with the state of funding and partnerships between tech and banking industries. It also examines the key pillars and importance of responsible AI, including the systemic biases that can influence the technology, and the complexities of technology innovation, competition, and governance. The book takes a deep dive into the use cases in the financial services industry, the risks and opportunities, and the fragmented regulatory landscape. How can you effectively balance innovation and customer centricity with trust with AI in financial services? Can smaller organizations reap the benefits of the technology? How can institutions deploy AI responsibly while mitigating potential challenges around data bias? This book will explore all this, and more.