Ethics in the World of AI: An Accountant's Guide to Managing the Risks
Wednesday, June 4, 2025
8-10 a.m. Central
2 CPE (2 non-technical) | 2 Ethics
Course code: 25WI-0094
View pricing
Online registration is not available due to server maintenance.
Please call 952-831-2707 between 7:30 a.m. and 4:30 p.m. Central to register.
Discover "Ethics in the World of AI: A CPAs Guide to Managing Risks" -- a concise 2-hour training session for certified public accountants. Karl Ahlrichs and Jennifer Elder discuss the current uses of AI in business, nine risk areas, and provide practical suggestions to address these risks effectively. Equip yourself with the tools to navigate the ethical challenges of AI, upholding professional standards while embracing transformative technology. Join us now for a journey towards ethical excellence in AI.
Major subjects
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Business uses of AI
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Nine risk areas of AI
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Three ethical frameworks
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Risk mitigation strategies
Learning objectives
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Recall strategies for responsible AI development and governance in accounting and finance
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Identify the challenges of maintaining ethical standards while using Generative AI tools
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Recognize the impact of data bias on the outputs generated by Generative AI models in accounting and finance.
Who should take this program?
- Anyone adopting artificial intelligence and robotic process applications
Pricing
|
Standard Member Fee |
$125.00
|
 Standard Nonmember Fee |
$149.00
|
MNCPA members save $24.00. Become a member.
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you are a
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$149.00
(Standard Nonmember Fee).
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Online registration is not available due to server maintenance.
Please call 952-831-2707 between 7:30 a.m. and 4:30 p.m. Central to register.
Instructors
Karl Ahlrichs, CSP, SHRM-SCP, SPHR
Jennifer Elder, CSP, CPA, CMA, CIA, CFF, CGMA, MS
Location
Online
Area
of study
Ethics
Field(s)
of study
Behavioral Ethics - Non-Technical (2.0)
Level
Basic
Format
Group Internet Based
Sponsor
NASBA ID#: 112891
Prerequisites
Prereq.
None
Advance
prep
None
Cancellation
policy
Receive a full refund if you cancel at least four business
days before the event start date.
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