Received on 02 January 2024; revised on 12 February 2024; accepted on 14 February 2024 | Wilhelmina Afua Addy, Adeola Olusola Ajayi-Nifise, Binaebi Gloria Bello, Sunday Tubokirifuruar Tula, Olubusola Odeyemi, Titilola Falaiye
The paper "Transforming Financial Planning with AI-Driven Analysis: A Review and Application Insights" by Wilhelmina Afua Addy et al. explores the integration of Artificial Intelligence (AI) in financial planning, highlighting its historical progression, current implementations, and multifaceted impact. The authors delve into the evolution of financial planning, emphasizing the interdisciplinary nature of the field and the role of AI in enhancing precision, risk assessment, and predictive analytics. They discuss the challenges and ethical considerations associated with AI adoption, such as data quality, privacy, and regulatory compliance. The study uses qualitative methods to analyze the enhancements AI brings to financial decision-making and the qualitative shifts in financial strategies. The authors advocate for a balanced approach that integrates AI's potential while addressing its challenges through continuous learning, adaptability, and ethical vigilance. The paper concludes with recommendations for financial institutions to embrace AI while ensuring equitable and transparent practices. The review covers a wide range of topics, including the impact of AI on financial decision-making, strategic innovation, ethical considerations, and regulatory compliance, providing a comprehensive overview of the role of AI in transforming financial planning.The paper "Transforming Financial Planning with AI-Driven Analysis: A Review and Application Insights" by Wilhelmina Afua Addy et al. explores the integration of Artificial Intelligence (AI) in financial planning, highlighting its historical progression, current implementations, and multifaceted impact. The authors delve into the evolution of financial planning, emphasizing the interdisciplinary nature of the field and the role of AI in enhancing precision, risk assessment, and predictive analytics. They discuss the challenges and ethical considerations associated with AI adoption, such as data quality, privacy, and regulatory compliance. The study uses qualitative methods to analyze the enhancements AI brings to financial decision-making and the qualitative shifts in financial strategies. The authors advocate for a balanced approach that integrates AI's potential while addressing its challenges through continuous learning, adaptability, and ethical vigilance. The paper concludes with recommendations for financial institutions to embrace AI while ensuring equitable and transparent practices. The review covers a wide range of topics, including the impact of AI on financial decision-making, strategic innovation, ethical considerations, and regulatory compliance, providing a comprehensive overview of the role of AI in transforming financial planning.