The adoption of Artificial Intelligence (AI) in accounting and finance has transformed the banking and finance sector, particularly in emerging economies. AI-driven solutions are enhancing financial reporting, fraud detection, risk management, and customer service through automation, predictive analytics, and machine learning models. This chapter explores the factors driving AI adoption in accounting and finance within emerging economies, highlighting opportunities and challenges faced by financial institutions. It examines case studies from the banking sector, regulatory frameworks, and technological advancements shaping AI-driven financial ecosystems. The study also discusses how AI contributes to financial inclusion, operational efficiency, and improved decision-making in emerging markets. Finally, it addresses key concerns such as data privacy, regulatory compliance, and ethical considerations in AI-driven financial services. The findings provide valuable insights for policymakers, financial professionals, and technology developers seeking to navigate the evolving landscape of AI in accounting and finance.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Understanding the Adoption of AI in Accounting and Finance in Emerging Economies—Insights from the Banking and Finance Sector

  • Akintola Owolabi,
  • Kemi Ogunyemi,
  • Oluwatosin Onayemi,
  • Jonathan Ikeolumba

摘要

The adoption of Artificial Intelligence (AI) in accounting and finance has transformed the banking and finance sector, particularly in emerging economies. AI-driven solutions are enhancing financial reporting, fraud detection, risk management, and customer service through automation, predictive analytics, and machine learning models. This chapter explores the factors driving AI adoption in accounting and finance within emerging economies, highlighting opportunities and challenges faced by financial institutions. It examines case studies from the banking sector, regulatory frameworks, and technological advancements shaping AI-driven financial ecosystems. The study also discusses how AI contributes to financial inclusion, operational efficiency, and improved decision-making in emerging markets. Finally, it addresses key concerns such as data privacy, regulatory compliance, and ethical considerations in AI-driven financial services. The findings provide valuable insights for policymakers, financial professionals, and technology developers seeking to navigate the evolving landscape of AI in accounting and finance.