Brewing Your Own TEA
Build a small Fair Recruitment AI assurance case in the current editor.
Edit on GitHubIn Your First Sip of TEA, you explored how a fairness goal branches into a strategy, testable claims and evidence. You also saw a monitoring branch with missing support. Now you build a small slice of that case yourself.
You will use the browser editor to create a working case, revise its top-level goal, describe its context, and add one strategy, property claim and evidence item. Use the Fair Recruitment AI example as practice material. The example's statements are teaching content, so do not present them as findings from a real hiring system.
The current Create New Assurance Case dialog starts with a blank case and a generated G1 goal. It does not offer a starter-template choice. A JSON file can be imported separately, but this activity uses the blank case so that you practise building the argument.
Learning Objectives
By the end of this module, you will be able to:
Sign in and create a working case from the dashboard.
Build a chain from goal and context through a strategy and property claim to evidence.
Inspect and edit an element, including its assertion status.
Use undo, redo and export to review what you built.
Continue to the walkthrough. A matching screen-recording script is provided for the porting team.