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AI and Data Ethics in Accounting (ETA2)

Tuesday, May 20, 2025
02:00 PM - 04:00 PM (Eastern)

Cory Ng

  • Format Webinar
  • Credits 2.00
  • Level Basic
  • Field of Study Regulatory Ethics (2)

$119.00

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Overview

This course explores the ethical considerations of AI in accounting. Participants will examine the principles of AI data ethics, regulatory requirements, and strategies for ethical AI use.

Major Topics:

  • Fundamental principles of AI and data ethics
  • Importance of ethics in AI adoption
  • Relevance of data ethics in accounting practices
  • Frameworks for ethical AI implementation
  • Ethical implications of AI in auditing and accounting
  • Maintaining independence and objectivity
  • Ensuring professional skepticism with AI tools
  • Addressing ethical dilemmas in AI-driven audits
  • Algorithmic bias and fairness in AI systems
  • Identifying and understanding algorithmic bias
  • Strategies to ensure fairness in AI models
  • Case studies on bias and fairness issues in accounting
  • Regulatory requirements and guidelines
  • Overview of national and international regulations (e.g., GDPR, HIPAA)
  • Compliance with ethical standards in AI use
  • Emerging guidelines from accounting bodies on AI ethics
  • Strategies for ethical AI use in accounting
  • Implementing ethical AI frameworks and tools
  • Promoting transparency, accountability, and fairness
  • Developing a culture of ethics in AI-enhanced accounting practices

Learning Objectives

  • Understand the fundamental principles of AI and data ethics and their relevance to accounting
  • Analyze the ethical implications of AI adoption in auditing and accounting with a focus on independence, objectivity, and professional skepticism
  • Describe the concepts of algorithmic bias and fairness in AI systems and develop strategies to mitigate these issues
  • Evaluate the regulatory requirements and guidelines from national and international bodies regarding AI and data ethics
  • Develop strategies for ensuring ethical use of AI in accounting practices

Who should take this course:

CPAs and accountants at all levels seeking a greater understanding of artificial intelligence

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