The impact of artificial intelligence (AI) on financial decision-making.

Thesis Abstract

This research project aims to explore the impact of artificial intelligence (AI) on financial decision-making processes. AI refers to the development of computer systems that can perform tasks that typically require human intelligence, such as data analysis, pattern recognition, and decision-making. In recent years, AI has gained significant attention in the financial industry, with the potential to revolutionize various aspects of financial decision-making.

The research will adopt a mixed-methods approach, combining quantitative analysis of financial data and qualitative analysis of interviews with industry experts and financial professionals. The quantitative analysis will involve examining the adoption and impact of AI technologies, such as machine learning algorithms, natural language processing, and robotic process automation, on financial decision-making outcomes, including investment performance, risk management, and operational efficiency.

Additionally, the qualitative analysis will provide insights into the motivations, challenges, and strategies employed by financial institutions in adopting and integrating AI solutions. Interviews with industry experts and financial professionals will shed light on the opportunities and risks associated with AI implementation, the changes in decision-making processes and roles, and the ethical and regulatory implications for the financial industry.

The findings of this research will contribute to the existing literature on the impact of AI on financial decision-making. By examining the adoption and effects of AI technologies in various financial domains, this study aims to provide a comprehensive understanding of the opportunities and challenges brought about by AI. The research outcomes can inform financial institutions in formulating effective strategies for AI adoption, help regulators in designing appropriate policies, and guide investors in evaluating the potential of AI-driven financial models.

Overall, this research project seeks to enhance the understanding of the impact of artificial intelligence on financial decision-making, providing valuable insights for both academia and practitioners in the fields of finance, technology, and decision sciences.