Assurance & testing
A useful evaluation answers a decision.
Choose tests that tell you whether this system is suitable for this task, under conditions that matter.
Read and explore ↗Knowledge hub / LEARNING PATH
LEARNING PATH
Assurance & testing
Use evaluations, adversarial tests, and incident practice to examine how a system behaves.
Find evidence you can trust.
Assurance begins with a question and ends with a decision supported by evidence. It needs representative tests, clear criteria, an honest account of limitations, and a plan to revisit results when the system changes. A memorable demo or a polished report is only part of that work.
You do not need to read everything in order. Choose a question that resembles your work, follow the guide, and try the exercise with a fictional example or an authorized review of your own systems.
A SUGGESTED ROUTE
Build understanding, one step at a time.
- 01
A useful evaluation answers a decision. ↗
Choose tests that tell you whether this system is suitable for this task, under conditions that matter.
- 02
Red teaming should change the design. ↗
A structured adversarial exercise finds weaknesses and produces evidence that teams can act on.
- 03
Prepare for an AI incident before the first escalation. ↗
Connect familiar response disciplines to models, prompts, retrieval systems, and autonomous actions.
Explore assurance & testing.
Assurance & testing
Red teaming should change the design.
A structured adversarial exercise finds weaknesses and produces evidence that teams can act on.
Read and explore ↗
Assurance & testing
Prepare for an AI incident before the first escalation.
Connect familiar response disciplines to models, prompts, retrieval systems, and autonomous actions.
Read and explore ↗