Applications of Artificial Intelligence in Engineering: Proceedings of First Global Conference on Artificial Intelligence and Applications (GCAIA 2020)

Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
List of Illustrations
Foreword
Preface
Acknowledgments
1. What Accountants Need to Know
	Introduction
		History of AI
		History of Accountants Using Technology
		Overview of How Accountants Are Using AI
		Human Intelligence versus Artificial Intelligence
	What Accountants Need to Know About AI
		Artificial Intelligence
			Artificial Narrow Intelligence (ANI)
			Artificial General Intelligence (AGI)
		Machine Reasoning
			Expert Systems
		Machine Learning
			Supervised Learning
			Unsupervised Learning
			Semi-supervised Learning
			Reinforcement Learning
		Deep Learning
		Natural Language Processing
	Data Mining
		Text Mining
	Robotic Process Automation (RPA) and AI
	Application Programming Interfaces (API) and AI
	Best Programming Languages Accountants Should Learn for Artificial Intelligence Applications
	Notes
	References
2. Applications of AI in Accounting
	Financial Accounting Applications
		Cash and Account Reconciliations
		Receivables and Sales
		Inventory
		Accounts Payable
	Management Accounting Applications
	Audit Applications
	Tax Applications
	Advisory Applications
		Conclusion
	Note
	References
3. Robotic Process Automation (RPA) and AI
	Overview of RPA
		RPA Vendors
	When to Use RPA?
	Advantages and Challenges of RPA
		Challenges of RPA
	Applications of RPA in Public Accounting
		RPA in Audits
		RPA in Tax
	Applications of RPA in Corporate Accounting
	Implementation of RPA
		Why RPA Fails
	Integrating RPA with AI/ML Applications
	References
4. Text Mining
	What is text mining?
		The role of natural language processing in text mining
	Overview of Text Mining Research
	Methods and Technologies Used in Text Mining
		Document Preprocessing
			Data Selection and Filtering
			Data Cleaning
			Document Representation
			Morphological Normalization and Parsing
			Semantic Analysis
		Mining
			Clustering
			Classification
			Entity and Relation Extraction
		Visualization
			Visualization Techniques for Multidimensional Data
			Text Summarization
	Advantages and Disadvantages of Text Mining
	Current and Potential Applications of Text Mining in Accounting
		Audit Automation
		Accounting Automation
		Tax Automation
		Business Advisory Automation
	References
5. Contemporary Case Studies
	Case Study #1: Use of NLP for Risk Analysis (KPMG)
		Background
		Results
		Lessons Learned
	Case Study #2: Use of AI for Tax Transfer Pricing Services (KPMG)
		Background
		Results
		Lessons Learned
	Case Study #3: Autonomous Audit Drones for Inventory Management (EY)
		Background
		Results
		Lessons Learned
	Case Study #4: Use of AI to Augment Auditor Judgment (Deloitte)
		Background
		Results
		Lessons Learned
	Case Study #5: Use of Data Automation and RPA for Tax Functions (Grant Thornton)
		Background
		Results
		Lessons Learned
		Conclusion
	Notes
	Reference
6. Challenges and Ethical Considerations of AI
	Algorithmic Bias
		Definition of Algorithmic Bias
		Guidance for Algorithmic Bias Considerations
	Security, Privacy and Change Management Risks
		Security and Privacy Risks
		Change Management Risks
	Regulations Related to AI
	Ethical Considerations
		Accountability and Professional Responsibility
		Fairness and Non-Discrimination
		Human Control of Technology
		Privacy and Security
		Transparency and Explainability
		Promotion of Human Values
	Note
	References
7. Future Outlook
	Future of the Accounting Profession
		Technology Changing the Landscape of the Accounting Profession
		Firm Hiring Trends of Accounting Graduates
		Skillsets Needed in the Next Ten Years
	Accounting Educators
		Strategies for Incorporating AI into the Classroom
		AI Training for Faculty
	Conclusion
	References
Glossary of Terms
Index