Module: 4/5
Lesson: 3/7
Exercises:
Module 4 | Lesson 2

The Three Kinds of Reliability

Why This Matters Right Now

The moment a technology becomes very good at consistency, accuracy, and availability, organizations face a real temptation: to treat it as a replacement for trust. They replace a person with an AI system and assume that reliability in these technical senses is enough.

But it is not enough. Because human organizations are built on something that consistency, accuracy, and availability cannot provide: the belief that the people in charge will do the right thing even when no one is watching, even when the right thing is hard, even when it conflicts with what they were told to do.

This is not an argument against using AI. It is an argument for being honest about what AI is for: execution of tasks that have been specified, evaluated by humans who can be trusted to care about the consequences.

The professional who understands this distinction has a real advantage. They can work comfortably with AI precisely because they are not fooled into thinking that reliability is the same as trust. They know what AI can provide, and they know what they have to provide themselves.

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