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| Author : | Kelen Camehl, CPA, MBA |
| Course Length : | Pages: 20 ||| Word Count: 6105 ||| Review Questions: 5 ||| Final Exam Questions: 5 |
| CPE Credits : | 1.0 |
| IRS Credits : | 0 |
| Price : | $12.95 |
| 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 2272 |
| Description : |
This course explores the ethical and regulatory aspects of integrating AI in accounting. It covers ethical considerations like bias, transparency, and accountability, alongside regulatory frameworks such as data protection laws and professional standards. Additionally, this course addresses data privacy and security concerns and offers best practices for ensuring ethical AI usage in accounting firms. |
| Usage Rank : | 23750 |
| 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 : | 29-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 - 2272 |
| Keywords : | Specialized Knowledge, AI, Series, Ethics, Regulations, cpe, cpa, online course |
| Learning Objectives : |
Course Learning Objectives Upon completion of this course, you will be able to:
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| Course Contents : | Chapter 1 - AI Series - Ethics and Regulations Course Learning Objectives Course Overview 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 Review Questions Strategies to Safeguard Data Ethical AI Usage Conclusion Review Questions Glossary of Key Terms |
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