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Artificial Intelligence in Accounting: Practical Applications

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 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 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 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 Contemporary Case Studies Case Study #1: Use of NLP for Risk Analysis (KPMG)Case Study #2: Use of AI for Tax Transfer Pricing Services (KPMG)Case Study #3: Autonomous Audit Drones for Inventory Management (EY)Case Study #4: Use of AI to Augment Auditor Judgment (Deloitte)Case Study #5: Use of Data Automation and RPA for Tax Functions (Grant Thornton)Conclusion Notes Reference 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 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

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