AI-Driven Ethics and Data Analytics: A Roadmap for Accountants (AIE4)
4.00 Credits
Member Price $175
Non-Member Price $225
Overview
This course explores the ethical considerations and data analytics aspects of AI in accounting. Participants will examine the principles of AI data ethics, regulatory requirements, and strategies for ethical AI use, while also developing skills in leveraging AI tools for enhanced data analytics.
Highlights
- AI and data ethics in accounting
- Leveraging AI for data analytics in accounting
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
- Describe the concepts of algorithmic bias and fairness in AI systems and develop strategies to mitigate these issues
- Develop strategies for ensuring ethical use of AI in accounting practice
- Understand the role of AI in transforming data analytics processes
- Develop skills in using AI-powered tools to optimize data analytics processes
Leader(s):
Leader Bios
Jason Carney, Surgent McCoy CPE, LLC
Jason Carney, CPA, CISA, PMP, CISSP, CCSP, Esq. is a Lead Information Security Analyst with Thomson Reuters. He has more than 15 years of experience in public accounting, consulting and industry. His specialties include information security, tax problem resolution and data analysis. Carney has worked in Federal Finance, Information Security and Tax. He is a member of the Minnesota Bar and was a President’s Scholar at the University of Saint Thomas Law School. Carney co-founded the Scott County Conciliation Clinic and represents impoverished debtors pro bono in association with the Volunteer Lawyers Network. He wrote “What is Business Intelligence and Why Should CPAs Care?” for Footnote and contributed to the upcoming What Every Lawyer Needs to Know About Client Trust Accounts.
Non-Member Price $225
Member Price $175