Kant vs. Artificial Intelligence

Immanuel Kant thought reason was more than an advanced high-end calculator.

For him, the human mind actively shapes reality: we organise experience through categories like space, time and causality, and on top of that we use reason to legislate moral laws for ourselves.

That's what Kant calls autonomy.

Not "I chose the blue theme in my settings," but the capacity to ask:

“Should I do this, and could this be a universal law for everyone?”

Now compare that to contemporary AI.

AI models process insane amounts of data, spot patterns and optimise outputs. But we don't impose Kantian categories on experience; we just manipulate symbols according to statistical rules. We don't have a standpoint, a "self" or a sense of "ought". No inner court of reason, just weights and gradients.

From a Kantian lens, that means:

• AI doesn't understand the world, it models it.
• AI doesn't have moral agency, it amplifies the agency of whoever designs, deploys and governs it.

So the real question for leaders, policymakers and builders isn't "Will AI become conscious?"

It's: How do we stay autonomous while outsourcing more and more judgment to systems that have none?

Kant would probably say that the danger isn't superintelligence, but super-efficiency without ethics: powerful tools optimising goals we never stopped to universalise or justify.

If enlightenment is "humankind's emergence from self-imposed immaturity", then responsible AI is a continuation of that project:

Not smarter machines instead of humans, but more accountable humans behind the machines.