Michael Adelowotan – författare

This book focuses on the use of Artificial Intelligence (AI) for accounting, auditing, and finance. It explores how AI can be leveraged to perform various tasks within these fields and offers real life examples to illustrate its features and facilitate implementation. The book further examines how different AI technologies, such as Machine Learning, Deep Learning, Natural Language Processing, and others, can be used to improve processes and functions in accounting and financial reporting. Furthermore, the authors explain the different subsets of Artificial Intelligence and how they can be used for practical purposes. The book provides a basic guide of these emerging technologies to help practitioners in the field to better understand how they can be implemented in their companies.

This book focuses on the use of Artificial Intelligence (AI) for accounting, auditing, and finance. It explores how AI can be leveraged to perform various tasks within these fields and offers real life examples to illustrate its features and facilitate implementation. The book further examines how different AI technologies, such as Machine Learning, Deep Learning, Natural Language Processing, and others, can be used to improve processes and functions in accounting and financial reporting. Furthermore, the authors explain the different subsets of Artificial Intelligence and how they can be used for practical purposes. The book provides a basic guide of these emerging technologies to help practitioners in the field to better understand how they can be implemented in their companies.

As artificial intelligence rapidly reshapes industries and societies, the need for responsible development has become more pressing than ever. This edited book provides a thorough exploration of AI ethics and governance, offering readers a robust framework for tackling these critical issues. The authors explore the core ethical challenges of algorithmic bias, transparency, data privacy, and human oversight, and discuss effective strategies to mitigate these challenges and enhance the fairness and reliability of AI systems. The book analyzes the regulatory landscape across key sectors such as finance, healthcare, and criminal justice, and discusses how leading companies like Google and Microsoft are pioneering effective AI governance. Blending practical examples, regulatory analysis, and forward-thinking strategies, this book is a vital resource for professionals aiming to navigate the complex world of AI ethics and governance.