AI risk management
An impact assessment starts with people.
Ask who could be affected, how the system changes a decision, and what would make its use unacceptable.
Read and explore ↗Knowledge hub / LEARNING PATH
LEARNING PATH
AI risk management
Understand potential harms, choose proportionate responses, and track what remains.
Turn uncertainty into decisions.
Risk work becomes useful when it describes a believable event in a specific setting. Replace broad concerns with scenarios that a business owner and technical team can examine together. Connect every chosen response to a person, a verification step, and a review date.
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
An impact assessment starts with people. ↗
Ask who could be affected, how the system changes a decision, and what would make its use unacceptable.
- 02
Write risks people can make decisions about. ↗
A good risk register explains a scenario, a consequence, and an accountable response. It does not need theatrical scoring.
- 03
Buying an AI service also buys dependencies. ↗
Ask how the service behaves, what the contract covers, and what you will do when either changes.
Explore ai risk management.
AI risk management
Write risks people can make decisions about.
A good risk register explains a scenario, a consequence, and an accountable response. It does not need theatrical scoring.
Read and explore ↗
AI risk management
Buying an AI service also buys dependencies.
Ask how the service behaves, what the contract covers, and what you will do when either changes.
Read and explore ↗