I didn’t really understand why enterprises care so much about AI governance until I saw what Anthropic just did with Claude.
In 2023, Claude had a constitution.
Basically: a long list of rules telling the model what not to do.
It worked.
But rules break when reality gets messy.
So on Jan 21, Anthropic rewrote the whole thing.
This new Claude Constitution isn’t just rules anymore.
It’s principles.
A 4-tier priority system around safety, ethics, compliance, and usefulness and more importantly, why those rules exist.
That shift matters.
Because enterprises already assume something most people don’t want to say out loud:
Every AI model has bias.
It’s shaped by training data and the values baked into it.
Anthropic isn’t pretending otherwise.
They’re saying: this is how our model reasons when things get weird.
And things will get weird.
Especially in enterprise use cases where edge cases are guaranteed.
This is the real difference:
Not what the model should do,
but how it decides what to do when no one predicted the scenario.
Compare that to models that still allow obviously inappropriate behavior.
One approach builds trust.
The other creates risk.
Transparency isn’t about feeling safe.
It’s about knowing where the boundaries actually are.
And even then, no constitution replaces human judgment.
Domain expertise still matters.
Oversight still matters.
Claude’s new constitution doesn’t make AI perfect.
It just makes its bias visible.
And for enterprises, that visibility is the real product.
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