Surgent's AI and Data Ethics in Accounting

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.

Highlights

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

Prerequisites

None

Designed For

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

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