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Courses/Ethics/Ethics for Accountants

The 50 Laws of AI Ethics: A Practical Guide for Accountants

A practical framework for maintaining professional integrity, objectivity, and accountability in an AI-driven practice.

Created byGarrett Wasnyworkspace_premium
BeginnerUpdated Oct 19, 2026
The 50 Laws of AI Ethics: A Practical Guide for Accountants

What You'll Learn

check_circleApply core ethical principles to common uses of AI in accounting and finance
check_circleIdentify AI limitations, fabricated output, and threats to objective judgment
check_circleEvaluate AI-generated work using source evidence and risk-based human review
check_circleSelect safeguards for confidential information and AI agent access
check_circleAssess independence threats and ethical concerns in AI-assisted services
check_circleEvaluate the fairness and transparency of AI decisions affecting people

About This Course

This course translates professional ethics into 50 practical principles for using artificial intelligence in accounting, auditing, tax, and financial management. Through realistic accounting examples, participants will explore how to verify AI output, protect confidential information, preserve independent judgment, and keep people accountable for AI-assisted work. Ten sections connect familiar professional duties with emerging risks, including fabricated answers, automation bias, unauthorized AI use, unfair decisions, and excessive agent permissions. Participants will identify practical safeguards they can apply to everyday workflows. The “laws” are teaching principles; applicable laws, professional standards, and organizational policies continue to govern the work.

Topics Covered:
- Integrity: honest disclosure, verified output, and open correction of errors
- Objectivity: automation bias, conflicting evidence, and independent judgment
- Professional competence: model limits, fabricated answers, and expert consultation
- Due care: source checks, risk-based review, and human approval
- Confidentiality: authorized tools, client data, and AI agent permissions
- Professional behavior: honest marketing, fair fees, and synthetic media
- Risks and guard rails: risk assessment, effective safeguards, and escalation
- Independence: management responsibility, self-review threats, and fee dependence
- Fairness to people: bias testing, transparency, and human review
- Leadership and culture: clear policies, speaking up, and personal accountability

Who Will Benefit/Target Audience:
This course is designed for CPAs, accountants, auditors, tax professionals, controllers, finance leaders, and accounting advisors who use, review, or oversee AI-assisted work.

Your Instructor

Garrett Wasny
Garrett Wasny

MA, CMC, CITP/FITP

menu_book150 courses
star15,502 reviews

GARRETT WASNY, MA, CMC, CITP/FITP, is an artificial intelligence (AI) skills advisor to accountants, tax attorneys, enrolled agents, and tax preparers worldwide. His courses focus on the new intersection of accounting and technology, and provide guidance to practitioners on how to prosper in this dynamic age. His sessions demystify emerging cloud, mobile, and social applications, and explain in plain language how financial professionals can use these online tools to build trust, solve problems, and create new value. He’s also an award-winning Internet speaker, author, app developer, professional development specialist, and former management consultant for Price Waterhouse. He's published 50+ ebooks on computing and ethical issues related to accounting, written hundreds of articles and columns on Internet strategy, and delivered thousands of seminars and webinars to CPAs and accounting organizations around the globe.

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Frequently Asked Questions

We are a registered provider with 327+ associations and regulatory bodies worldwide. We operate across 29 global markets including Canada, the US, Australia, and the UK. Every course page clearly displays its specific accreditations. Upon completion, you receive a professional certificate that can be validated online. Our certificates include all necessary accreditation details, credit hours, and completion dates, and are formatted specifically to meet the submission requirements of most global regulatory bodies.

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