1.0 Module Overview and Learning Objectives

Artificial intelligence tools are reshaping how tax offices operate — from drafting client letters to summarizing new guidance. But before any practitioner can use AI safely and productively, they need to understand what it actually is and how it works. Module 1 builds that foundation in plain language. No coding knowledge required. What you need — and what this module delivers — is a clear understanding of what AI tools can do, what they cannot do, why they make mistakes, and why those mistakes carry real professional consequences for every return you sign. This module establishes the course’s central principle: AI is a tax office assistant, not a tax preparer.

Learning Objectives

After completing this lesson you will be able to:

Define artificial intelligence, large language models (LLMs), and generative AI in plain language
Explain how AI tools produce output and why they can be confidently wrong
Distinguish AI-generated content from authoritative IRS guidance, the IRC, and court decisions
Explain why AI cannot be a “tax preparer of record” under IRC §6694, PTIN requirements, and Circular 230
Identify the types of AI tools available to tax practitioners and what category each belongs to
Apply the course’s guiding principle: AI as office assistant, not tax preparer

Module 1 Lesson Map

Lesson	Topic	What You Will Learn
1.1	What Is Artificial Intelligence?	How LLMs work, training cutoffs, pattern prediction vs. fact retrieval
1.2	Types of AI Tools Available to Tax Practitioners	General-purpose, tax-specific, document analysis, voice AI — what each is good for
1.3	The Hallucination Problem	Why AI fabricates citations, wrong numbers, and outdated law — with real examples
1.4	Why AI Cannot Be a Tax Preparer of Record	PTIN requirement, Circular 230 obligations, §6694 liability — all fully apply
1.5	The Guiding Principle: AI as Office Assistant	The framework that runs through every module of this course
Quiz	Module 1 Review	10 questions covering all Module 1 lessons

Most practitioners pick up AI tools the same way they pick up any new software — open it, start using it, figure it out as they go. That approach works fine for a word processor or a spreadsheet. It does not work for AI — because the failure mode of AI is invisible. A word processor does not fabricate a tax code section. An AI tool does. And it does so in fluent, well-formatted, confident-sounding prose that gives no indication that anything is wrong.

The practitioners who use AI effectively are the ones who understand this risk before they start — not the ones who discover it after a client return is wrong. Module 1 gives you that understanding. Everything else in the course builds on it.

No technical background required. This module explains AI in plain language designed for tax professionals — not software engineers. If you understand how a tax return flows through the system, you have all the background you need to understand how AI works.