What is it about?

This chapter looks at how artificial intelligence is changing the financial world. It explains in simple terms how technologies like machine learning and deep learning are used to make faster and smarter decisions in banking, investing, and fraud prevention. You’ll see how AI helps with things like credit scoring, high-speed trading, and spotting unusual transactions. It also touches on new areas such as decentralized finance, where AI works alongside blockchain to manage digital assets. Along the way, it addresses the challenges of keeping AI fair, transparent, and in line with regulations.

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Why is it important?

AI is becoming a key driver of change in finance, helping banks and businesses work more efficiently while giving customers better, more personalized services. This chapter matters because it shows not just the opportunities AI brings, but also the risks and responsibilities that come with it. By connecting real-world examples with practical insights, it gives readers a clear view of how AI can be used to create safer, fairer, and more innovative financial systems.

Perspectives

Writing this chapter was a rewarding experience because it brought together my passion for technology and my deep interest in how financial systems work. I wanted to bridge the gap between technical AI concepts and their real world impact on people’s financial lives. My aim was to make the subject accessible to a wide audience, whether you are a student, a professional in finance, or simply curious about how AI is shaping the future of money. I hope readers come away not only with a better understanding of the technology but also with ideas on how it can be used responsibly to create fairer and more inclusive financial systems.

Jitender Jain
IEEE

Read the Original

This page is a summary of: AI-Driven Learning in Finance, April 2025, IGI Global,
DOI: 10.4018/979-8-3373-3952-8.ch008.
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