If a decision affects you, you can question it.

07 of 10

in the Quantrim Guardrails Framework, revision 2, September 2026. One named owner, a record and a process.

An AI system that cannot be argued with is a liability, not an efficiency. Open to Challenge guarantees a clear, visible path for anyone affected by an AI-influenced decision to ask for a human to look at it again.

Three colleagues talking together outdoors near a garden wall
In practice

What contestability actually looks like

A visible path, not fine print

Anyone affected by an AI-influenced decision has a clear, simple way to ask for it to be reviewed by a person.

A guaranteed human look

Challenges get a genuine human review, not just a form that disappears into a queue.

Logged and reviewed

Challenges are logged, so patterns of complaint actually change how a system behaves over time.

Take it seriously by default

The default response to a challenge is to look at it properly, not to defend the system first.

Why it matters

Contestability is what separates automation from arbitrariness

A decision that cannot be questioned, right or wrong, feels arbitrary to the person on the other end of it. This guardrail is what keeps automated decisions feeling fair, and gives you an early warning system for when a decision-making process actually needs fixing.

Grounded in

  • Australia’s Voluntary AI Safety Standard, guardrail 7 (contestability)

Read the full Guardrails Framework →

Two colleagues talking in front of a whiteboard covered in diagrams
Photograph: WOCinTech Chat, CC BY 2.0
FAQ

Frequently asked questions

Isn’t this just a complaints process?

It is a subset of one, specifically for AI-influenced decisions, with a guaranteed human review, not just a form that goes into a general queue.

What kinds of decisions actually need this?

Anything where being wrong has a real cost to the person on the other end: a declined application, a de-prioritised request, a pricing decision.