Bridging Behavioural Finance and Artificial Intelligence for Smarter Banking

Abstract

Artificial Intelligence (AI) has revolutionized traditional banking by improving the efficiency, accuracy, and customer experience in the financial industry. But, financial decision-making continues to be significantly shaped by the human nature, emotions and cognitive biases. It delves into the world of behavioral finance and its link with AI in the context of modern banking, highlighting the significance of integrating human elements of behaviour into smart banking systems. AI technologies have the ability to work with massive amounts of data and make predictions, but they might not necessarily understand the human element or its effect on customer behaviors like investing, borrowing or attitudes toward risk.

It examines how behavioral biases like overconfidence, loss aversion, anchoring, herd behavior and confirmation bias affect the banking professionals and the financial decision makers of their customers' financial decisions. It also explores the possibilities of AI technologies such as machine-learning, predictive analytics, robo-advisory services, and intelligent customer relationship management (CRM) systems to pinpoint and counter such biases. Financial institutions can use behavioral finance principles to enhance their decision-making processes, improve customer service, attract and retain customers, and mitigate risk by incorporating insights from behavioral finance into their AI-driven banking solutions.

The study approach is conceptual and analytical after reviewing literature in the area of behavioral finance, artificial intelligence and digital banking which forms the basis for the study. The results do not suggest an automated decision making but rather show that the best banking models are those that combine technological intelligence with knowledge about human behaviour. This will help banks to create customer-centric, inclusive and adaptive financial services.

The study highlights successful fusion of behavioral insights with powerful AI as the future of intelligent banking. A customer-centric approach can help achieve better financial results, foster customer confidence, increase operational efficiency, and drive sustainable growth in the dynamic digital financial landscape.