AI Evaluation Vocabulary Guide — Complete Edition (109 Terms)

Build the vocabulary to ask better questions and make better AI decisions.

AI evaluation has its own language. Understanding the terminology helps you follow technical discussions, interpret evaluation results, challenge assumptions, and ask more useful questions—without needing to be the AI expert in the room.

The AI Evaluation Vocabulary Guide — Complete Edition is a practical, plain-English reference covering 109 terms you need to question, challenge, and trust the evidence behind AI decisions.

What's inside:

• 109 AI evaluation terms explained in plain English.

• Practical context to help you understand what terms mean and why they matter.

• Important distinctions to help you avoid common misunderstandings and ask more precise questions.

• Decision-ready language for conversations about AI evaluation, project readiness, and evidence.

• Practical guidance to help you put the vocabulary to work in real project and stakeholder discussions.

• A role-relevant reference for navigating conversations across technical, research, product, and business teams.

Who it's for:

• Product, program, and technical project managers

• Data and research leads

• Chiefs of Staff and operations leaders

• Business leaders accountable for AI success

How to use it:

Keep this guide nearby when preparing for meetings, reviewing evaluation results, discussing AI project readiness, or working with technical teams. Use it as a reference when unfamiliar terms arise, when you need to clarify a claim, or when you want to ask a better follow-up question.

You don't need to build the AI to help determine what happens next. You need the vocabulary to understand the evidence, challenge assumptions, and support better decisions.

Better questions. Smarter decisions.