Artificial Intelligence (“AI”) and Machine Learning (“ML”) are being deployed in organizations large and small at a rapidly increasing rate. Your organization is likely testing, deploying and perhaps refining AI-powered applications across a variety of departments and business functions. Why should this matter to accounting, internal audit, finance and cyber professionals? Should our teams be testing and deploying also?
During this interactive session we will demonstrate and describe the differences between chat- based AI search tools and more robust AI-powered applications such as one that we helped build to help prioritize and dispatch IT help desk tickets. The session will include example policies for responsible and ethical AI, and resources to help curious professionals learn more about these subjects.
These technologies are powerful and quite capable, they are not without risk. After all, with great power comes great responsibility. These technologies can also be misused (accidentally or intentionally) to destroy value instead of creating it.
We also discuss which is the greater risk; a) not using these new technologies or b) misusing these new technologies? Leading organizations have been using AI and ML. Successful leaders must be aware of the pros and cons and how to properly utilize these tools.
DESIGNED FOR
Any professional or leader who wants to remain current with two amazing new technologies, specifically AI and ML, and better understand how impactful they are, both today and in the future.
BENEFITS
Recognize and accept that AI and ML are important new technologies that will impact almost every organization. Understand the risks, advantages and the issues of deploying AI and ML. To better understand how to optimize the effectiveness of AI and ML.
HIGHLIGHTS
- Explain AI and ML and describe potential finance-related applications for both.
- Demonstrate the growth of AI and its importance in Capital Markets. (i.e., There seems to be a market premium on using AI - how do you make sure you use it wisely) Understand the relationships between data analytics and artificial intelligence (AI) and machine learning (ML).
- Discuss practical applications for AI and ML for Accounting, Finance, and Internal Audit.
- Discuss risks of AI and ML.
- Bookmark and share examples of ethical policies to help mitigate these risks.
- Summarize additional IIA resources available to help with understanding risks of AI and ML.
- How to develop better prompts to yield desired responses from AI inquiries.
- Compare and contrast leading AI tools, including Chat GPT, Gemini, Perplexity and Copilot
COURSE LEVEL
Intermediate
PREREQUISITES
Preferably at least six (6) months of professional financial statement analysis experience
ADVANCE PREPARATION
None