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E-raamat: Artificial Intelligence in Accounting: Practical Applications [Taylor & Francis e-raamat]

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Artificial Intelligence in Accounting: Practical ApplicationsSuurem pilt
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Raamatu kodulehekülg: https://www.taylorfrancis.com/books/9781003003342

Artificial Intelligence in Accounting: Practical Applications?was written with a simple goal: to provide accountants with?a foundational understanding of?AI and its?many?business?and accounting applications. It is meant to serve as a guide for identifying opportunities to?implement AI initiatives to increase productivity and profitability.???

This book will help you answer questions about what AI is?and?how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization, this book provides an overview of essential AI concepts and technologies that accountants should know, such as machine learning, deep learning, and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms, this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession.

This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners, researchers, educators, and students.

List of Illustrations
ix
Foreword x
Preface xii
Acknowledgments xiv
1 What Accountants Need to Know
1(18)
Introduction
1(3)
History of AI
2(1)
History of Accountants Using Technology
2(1)
Overview of How Accountants Are Using AI
3(1)
Human Intelligence versus Artificial Intelligence
3(1)
What Accountants Need to Know about AI
4(7)
Artificial Intelligence
4(2)
Machine Reasoning
6(1)
Machine Learning
7(2)
Deep Learning
9(1)
Natural Language Processing
10(1)
Data Mining
11(2)
Text Mining
13(1)
Robotic Process Automation (RPA) and AI
13(1)
Application Programming Interfaces (API) and AI
14(1)
Best Programming Languages Accountants Should Learn for Artificial Intelligence Applications
14(5)
2 Applications of AI in Accounting
19(16)
Financial Accounting Applications
20(5)
Cash and Account Reconciliations
20(1)
Receivables and Sales
21(1)
Inventory
22(2)
Accounts Payable
24(1)
Management Accounting Applications
25(1)
Audit Applications
26(2)
Tax Applications
28(2)
Advisory Applications
30(5)
Conclusion
31(4)
3 Robotic Process Automation (RPA) and AI
35(12)
Overview of RPA
35(1)
RPA Vendors
36(1)
When to Use RPA?
36(1)
Advantages and Challenges of RPA
37(2)
Challenges of RPA
38(1)
Applications of RPA in Public Accounting
39(3)
RPA in Audits
39(2)
RPA in Tax
41(1)
Applications of RPA in Corporate Accounting
42(1)
Implementation of RPA
42(3)
Why RPA Fails
44(1)
Integrating RPA with AIIML Applications
45(2)
4 Text Mining
47(24)
Overview of Text Mining Research
49(2)
Methods and Technologies Used in Text Mining
51(10)
Document Preprocessing
51(4)
Mining
55(3)
Visualization
58(3)
Advantages and Disadvantages of Text Mining
61(2)
Current and Potential Applications of Text Mining in Accounting
63(1)
Audit Automation
63(1)
Accounting Automation
64(1)
Tax Automation
65(1)
Business Advisory Automation
66(5)
5 Contemporary Case Studies
71(12)
Case Study #1 Use of NLP for Risk Analysis (KPMG)
71(3)
Background
71(1)
Results
72(1)
Lessons Learned
73(1)
Case Study #2 Use of AI for Tax Transfer Pricing Services (KPMG)
74(2)
Background
74(1)
Results
74(1)
Lessons Learned
75(1)
Case Study #3 Autonomous Audit Drones for Inventory Management (EY)
76(1)
Background
76(1)
Results
76(1)
Lessons Learned
77(1)
Case Study #4 Use of AI to Augment Auditor Judgment (Deloitte)
77(2)
Background
77(1)
Results
78(1)
Lessons Learned
78(1)
Case study #5 Use of Data Automation and RPA for Tax Functions (Grant Thornton)
79(4)
Background
79(1)
Results
80(1)
Lessons Learned
80(1)
Conclusion
80(3)
6 Challenges and Ethical Considerations of AI
83(13)
Algorithmic Bias
83(5)
Definition of Algorithmic Bias
83(2)
Guidance for Algorithmic Bias Considerations
85(3)
Security, Privacy, and Change Management Risks
88(2)
Security and Privacy Risks
88(1)
Change Management Risks
89(1)
Regulations Related to AI
90(2)
Ethical Considerations
92(4)
Accountability and Professional Responsibility
92(1)
Fairness and Non-Discrimination
93(1)
Human Control of Technology
93(1)
Privacy and Security
93(1)
Transparency and Explainability
94(1)
Promotion of Human Values
94(2)
7 Future Outlook
96(12)
Future of the Accounting Profession
96(5)
Technology Changing the Landscape of the Accounting Profession
96(2)
Firm Hiring Trends of Accounting Graduates
98(1)
Skillsets Needed in the Next Ten Years
99(2)
Accounting Educators
101(4)
Strategies for Incorporating AI into the Classroom
101(3)
AI Training for Faculty
104(1)
Conclusion
105(3)
Glossary of Terms 108(5)
Index 113
Cory Ng is Associate Professor of Instruction in Accounting at the Fox School of Business at Temple University in Philadelphia, Pennsylvania, USA.

John Alarcon is the founder of BEARN, a business advisory firm in Philadelphia, Pennsylvania, USA.
Püsilink: https://www.kriso.ee/db/9781003003342_pe.html
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