Workshop Overview
Experience Level: Skill Building
AI tools are flooding workplaces with recommendations, analyses, and summaries that look authoritative, but when should teams trust these outputs enough to stake their reputation on them? Many professionals find themselves caught between pressure to leverage AI's efficiency and concerns about potential errors that could damage credibility or create business risks.
This workshop teaches working professionals how to govern AI-assisted work through structured decision-making frameworks rather than hoping prompt engineering will solve accuracy concerns.
We will move beyond generating AI output to mastering when and how to authorize reliance on it. We'll examine how to implement "selective reliance" — a systematic approach to distinguishing between AI-generated content that's ready for release, content that requires additional verification, and outputs that should never leave your desk. We'll explore practical governance frameworks for medium-stakes business decisions, audit techniques for catching improper reliance, and methods for establishing clear accountability chains when AI recommendations influence real business outcomes.
We'll be using ChatGPT (free version) during the Workshop. No additional purchase is necessary.
Key Workshop Takeaways
- Distinguish between generating AI output and authorizing business reliance on it through structured evaluation criteria
- Apply selective reliance frameworks to audit AI-assisted recommendations before distribution or implementation
- Build clear ownership structures for downstream consequences when AI outputs influence business decisions
- Establish professional standards for abstention when governance conditions aren't met
- Create systematic labeling processes for AI-assisted work that indicate verification status and approval levels
with Impact
learning
real tools
engagement
Workshop Faculty
Who Should Enroll
- Mid-level to senior professionals who use AI tools in producing recommendations, analyses, proposals, or summaries
- Managers who are expected to approve, send, publish, or act on AI-assisted work
- Compliance, regulatory or commercial leaders responsible for professional, operational, or reputational consequences if AI output is wrong or misapplied
- Team leads who need a structured method for governing reliance, not just generating output
What You'll Earn
- Letter of Completion
- 3 Professional Development Hours (.3 CEUS)