Bytes, Bias, and Balance: Data Ethics for Savvy Accountants
Bytes, Bias, and Balance: Data Ethics for Savvy Accountants
CPE Credit:
2
Overview
Description:
This course explores the transformative role of artificial intelligence (AI) in accounting and auditing, highlighting its vast potential while addressing the associated risks and ethical considerations. Participants will discover how to harness AI tools to enhance efficiency and innovation, while mitigating challenges such as overreliance, data security vulnerabilities, and ethical dilemmas. Through case studies and interactive discussions, you’ll gain practical skills to navigate AI complexities, ensure trustworthy outputs, and uphold ethical standards in today’s fast-paced digital environment.
This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Field of Study:
Information Technology (2 CPE)
Instructor
Instructor:
Peter Zender, CPA
Additional Details
Who should attend:
Accountants and Auditors
Program Level:
Overview
Program Content:
The major topics that will be covered in this course include:
- The transformative role of artificial intelligence (AI) in accounting and auditing
- Enhancing efficiency and innovation with AI tools
- Mitigating challenges such as overreliance, data security vulnerabilities, and ethical dilemmas
Learning Objectives:
After attending this presentation, you will be able to…
- Recognize the most common errors in employee benefit plan audits as highlighted by recent Department of Labor studies and their implications for audit quality.
- Identify root causes of common deficiencies, consequences, and practical solutions for improvement.
- Identify actionable strategies for improving audit execution, including better planning, documentation, and testing.
Prerequisites:
None
Advanced Preparation:
None
Developed By:
Galasso Learning Solutions LLC
Format:
Group-Internet-Based
Course Code:
GAPZBBB2
Our Partners






























NASBA Sponsor
Bytes, Bias, and Balance: Data Ethics for Savvy Accountants
Course Code:
GAPZBBB2
Program Level:
Overview
Description:
This course explores the transformative role of artificial intelligence (AI) in accounting and auditing, highlighting its vast potential while addressing the associated risks and ethical considerations. Participants will discover how to harness AI tools to enhance efficiency and innovation, while mitigating challenges such as overreliance, data security vulnerabilities, and ethical dilemmas. Through case studies and interactive discussions, you’ll gain practical skills to navigate AI complexities, ensure trustworthy outputs, and uphold ethical standards in today’s fast-paced digital environment.
This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Program Content:
The major topics that will be covered in this course include:
- The transformative role of artificial intelligence (AI) in accounting and auditing
- Enhancing efficiency and innovation with AI tools
- Mitigating challenges such as overreliance, data security vulnerabilities, and ethical dilemmas
Learning Objectives:
After attending this presentation, you will be able to…
- Recognize the most common errors in employee benefit plan audits as highlighted by recent Department of Labor studies and their implications for audit quality.
- Identify root causes of common deficiencies, consequences, and practical solutions for improvement.
- Identify actionable strategies for improving audit execution, including better planning, documentation, and testing.
Who should attend:
Accountants and Auditors
Developed By:
Galasso Learning Solutions LLC
Instructor:
Peter Zender, CPA
CPE Credit:
2
Field of Study:
Information Technology (2 CPE)
Prerequisites:
None
Advanced Preparation:
None
Format:
Group-Internet-Based
OR
Register By Phone: Call 877.370.2220 and press “1” for the webinar hotline to register
Price
Single Registration
$89.00
Upcoming Dates
- 6/10/2026 @ 1:00 PM
- 6/26/2026 @ 9:00 AM
- 7/7/2026 @ 3:30 PM
All times are Eastern Time Zone