AI Safety & Responsible AI
AI model risk
The chance of harm caused by an AI's mistakes, limits or unsuitable use.
Example
A poor forecasting AI system leads a team to overstock inventory.
Why people use it
It helps organizations consider what could happen when an AI system makes a mistake.
What you'll hear
“What happens if this recommendation is wrong?”
What this means for you
Assess the consequences of errors in the real workflow.
Can you control it?
No
No direct control. This describes a wider issue, concept or result rather than something you can simply switch on or off in a tool.
Common questions
- Can a correct answer still create risk?
- Yes. Correct information can be used in an unsuitable situation or by someone without the authority to act on it.
- Can a small error create a large problem?
- Yes. Its effect depends on the decision, how widely it spreads and whether anyone notices it.
- Is risk the same for every user?
- No. A mistake can affect people differently depending on their circumstances and how the system is used.