
Welcome to the "AI Decision Governance System (AI-DGS)," a transformative course designed to keep professional judgment human in an increasingly automated world. Led by artificial skills intelligence advisor Garrett Wozni, this course introduces a critical pre-flight decision framework—not a technical usage guide, but a new governance manual for the emerging risk class of AI-influenced judgment, language, and reliance.
As Artificial Intelligence redistributes judgment between humans and systems, a dangerous governance gap has emerged where liability moves through language faster than numbers. This course provides the cockpit discipline necessary to bridge that gap, ensuring that accountants and professionals can stress-test AI outputs before they become liabilities. You will explore the vital distinction between "caloric" and "structural" work to prevent cognitive atrophy, learn to detect "AI washing," and understand why specific governance protocols are required to maintain professional defensibility.
Through practical workflows, including the "Liability in 50 Words" exercise and deep-dive case studies, you will learn to apply the core layers of the AI-DGS to verify accuracy, ownership, and structural integrity. This system acts as a SWOT analysis for AI judgment, providing a structured pause to verify human reasoning before releasing AI-generated work.
Key learning outcomes and course chapters include:
By the end of this course, you will transition from being a passive approver of AI outputs to an active, accountable decision-maker. You will be equipped with the tools to ensure that while AI may generate the draft, the judgment remains undeniably human.
This course includes: