Author : | Kelen Camehl, CPA, MBA |
Course Length : | Pages: 151 ||| Word Count: 48,437 ||| Review Questions: 40 ||| Final Exam Questions: 40 |
CPE Credits : | 8.0 |
IRS Credits : | 0 |
Price : | $71.95 |
Passing Score : | 70% |
Course Type: | NASBA QAS - Text - NASBA Registry |
Technical Designation: | Technical |
Primary Subject-Field Of Study: | Specialized Knowledge - Specialized Knowledge for Course Id 2268 |
Description : | This course provides an overview of Artificial Intelligence (AI) in accounting with a focus on its significance and evolution. This course includes a detailed discussion of key AI concepts as well as ethical considerations, regulatory frameworks, and its use in data analysis and reporting. This course also provides examples of how AI can be used in both audit and tax practices and provides strategies that can be used to most effectively implement its use in organizations. This course concludes with a discussion of future trends in AI. |
Usage Rank : | 95556 |
Release : | 2024 |
Version : | 1.0 |
Prerequisites : | None. |
Experience Level : | Overview |
Additional Contents : | Complete, no additional material needed. |
Additional Links : |
Artificial Intelligence (AI): What It Is and How It Is Used
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Advance Preparation : | None. |
Delivery Method : | QAS Self Study |
Intended Participants : | Anyone needing Continuing Professional Education (CPE). |
Revision Date : | 18-Apr-2024 |
NASBA Course Declaration : | Participants must complete the final examination within one year of purchase and with a minimum passing grade of 70% or better to receive CPE credit unless otherwise noted on the Course History page (i.e. California Ethics must score 90% or better). After logging in click on the Course History links on your My Courses page for the Begin date and Expire date for the Final Exam. |
Approved Audience : | NASBA QAS - Text - NASBA Registry - 2268 |
Keywords : | Specialized Knowledge, AI, Essentials, CPAs, Exploring, Cutting-Edge, Technology, cpe, cpa, online course |
Learning Objectives : |
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
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Course Contents : | Chapter 1 - Introduction to Artificial Intelligence (AI) Learning Objectives Introduction AI Key Concepts Machine Learning Deep Learning Natural Language Processing Algorithms History and Evolution of AI Significance of AI in the Accounting Profession Conclusion Review Questions Chapter 2 - AI Technologies in Accounting Software Learning Objectives Introduction Considerations of Using AI Accounting Software Traditional vs. AI Accounting Software Types of AI Accounting Software Automated Data Entry Tools Tax Preparation Software Financial Planning & Analysis (FP&A) Software Fraud Detection Software Expense Management Systems Conclusion Review Questions Chapter 3 - AI Ethics and Regulations Learning Objectives Introduction Ethical Implications of Adopting AI Technologies Bias & Fairness Transparency & Explainability Accountability & Responsibility Regulatory Frameworks Governing AI Usage Data Privacy and Security Data Breaches & Cybersecurity Strategies to Safeguard Data Ethical AI Usage Conclusion Review Questions Chapter 4 - Leveraging AI for Data Analysis and Reporting Learning Objectives Introduction Using AI for Data Extraction, Cleansing, and Normalization Data Extraction Data Cleansing Data Normalization Automated Financial Analysis and Forecasting with AI Financial Analysis Financial Forecasting Generating Insights from Financial Data using AI Algorithms Enhancing Reporting Capabilities with AI-Powered Tools Conclusion Review Questions Chapter 5 - AI in Audit and Compliance Learning Objectives Introduction Role of AI in Audit Planning and Risk Assessment Risk Identification Materiality Determinations Automating Audit Procedures with AI-Driven Tools Detection of Anomalies and Fraud Using AI Techniques Compliance Monitoring and Regulatory Reporting with AI Best Practices for Implementing AI Tools Conclusion Review Questions Chapter 6 - Considerations for Organizations When Adopting AI Learning Objectives Introduction Assessing Readiness for AI Adoption Technological Infrastructure Data Availability & Quality Organizational Culture & Readiness Integrating AI into Existing Workflows Training & Upskilling Staff Common Challenges & Barriers to AI Adoption Conclusion Review Questions Chapter 7 - AI Considerations in Tax Preparation & Research Learning Objectives Introduction Tax Preparation Tax Research Generative AI How the IRS is Using AI Best Practices for Adopting AI Solutions Conclusion Review Questions Chapter 8 - Future Trends in AI and Software for CPAs Learning Objectives Introduction Robotic Process Automation Blockchain Technology Other Technologies Evolution of AI in Accounting Practices Opportunities & Challenges Staying Updated & Competitive Conclusion Review Questions Glossary of Key Terms |