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Artificial Intelligence

AI Trust

Plain English

How much people AI.

Definition

AI refers to the level of users have in an AI ’s outputs, behaviour, and decision-making.

In practice

Built through transparency, , explainability, and reliable .

In context

It is asymmetric. It slowly through consistent usefulness and collapses on a single confident error the user happens to be able to check.

The reality

is fragile and can be quickly lost through errors, , or unexpected .

Compared with

AI Trust vs AI Reliability

is a property of the and can be measured. is a state in the user and is shaped by transparency, error handling, and how well the interface signals uncertainty. Reliable systems can still be distrusted.

FAQ

Common questions

A few practical answers to the questions that usually come up around this term.

What is AI trust?

It is the users have in AI and their outputs.

Why is AI trust important?

Without , users will not rely on AI .

How do you build trust in AI?

Through transparency, accuracy, and .

What breaks trust in AI?

Errors, , and unpredictable .

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