AI Series: Ethics & Regulations to Consider When Integrating AI in Accounting
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.
Course Information
Course No. CAM008
Format: Online pdf (22 pages). Printed book available.
Instructional Delivery Method: QAS Self-Study
Prerequisites: None
Advance Preparation: None
Level: Overview
CPE Credit: 1 hr.
Field of Study: Information Technology
Course Author: Kelen F. Camehl, CPA, MBA
Course expiration: You have one year from date of purchase to complete the course.
Course Revision Date: June 2024
Objectives
Course Topics:
* Ethical Implications of Adopting AI Technologies
* Bias and Fairness
* Transparency and Explainability
* Accountability and Responsibility
* Regulatory Frameworks Governing AI Usage
* Data Privacy and Security
* Data Breaches and Cybersecurity
* Strategies to Safeguard Data
* Ethical AI Usage
Learning Objectives:
Upon completion of this course, you will be able to:
- Recognize ethical considerations for AI integration in accounting
- Identify regulatory frameworks governing AI integration in accounting
- Recognize data privacy and security concerns in AI-driven accounting
- Identify best practices for ethical AI usage in accounting firms
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