CFO Series: Living in the World of AI- How AI Changed Ethics

Overview

Quietly, AI has already transformed how we work. These tools offer real opportunity, but they also raise fundamental questions. Is using AI ethical? Is it right? Is not using AI ethical? What happens when employees resist AI? How do we maintain trust and transparency in tools we don’t fully understand? And how do we train and deploy AI ethically, without slowing innovation to a crawl? This seminar explores the ethical and organizational challenges of living (and working) in an AI world, with a focus on empowerment, clarity, and responsible implementation.

We’ll discuss how to deploy and train AI responsibly, avoid bias, and monitor for hallucinations. We’ll also look at how to engage teams in the process and help people understand the proper use of AI. The goal is to make better use of these powerful tools, in a sustainable and ethical way.

Highlights

The major topics that will be covered in this course include:

Is it ethical to use AI, or not?
What is ethical AI? Why does it matter for finance and business professionals?
Understanding and managing AI hallucinations and misinformation
Addressing bias in AI tools even when you didn’t build them
Internal friction; navigating fear, resistance, and cultural challenges
Guidelines for responsible AI use in your organization
Accountability and transparency; who is responsible for AI outcomes?
Real-world use cases and what we can learn from them.
Creating sustainable, people-focused AI practices that build trust

Prerequisites

None, preferably at least six (6) months of professional financial statement analysis experience and/or at least six (6) months of professional experience in preparing or reviewing accounting processes and reports; experience working with internal clients or external clients and business leaders.

Designed For

CPAs, EAs, tax professionals, Tax Attorneys, Paralegals

Objectives

After attending this presentation, you will be able to...

Identify common ethical risks related to AI adoption, including bias, misinformation, and lack of transparency.
Assess the organizational impact of AI implementation and how to manage internal resistance.
Recall practical strategies for training and using AI responsibly in business settings.
Develop internal policies and frameworks that support ethical, sustainable AI use.
Evaluate ethical leadership strategies to improve adoption, trust, and long-term success with AI tools.