AI Ethics Is a Double Misnomer

May 13, 2026 - 21:09

The phrase "AI ethics" is often treated as a serious field of study, but it may be a double misnomer. The term itself suggests that we can apply ethical frameworks to artificial intelligence in the same way we apply them to humans. That assumption is flawed on two levels.

First, the "AI" part is misleading. Current systems are not intelligent in any meaningful sense. They are statistical pattern matchers, trained on vast datasets to produce plausible outputs. They have no consciousness, no intent, and no moral agency. Calling them "intelligent" anthropomorphizes them and confuses the public about what these tools actually do.

Second, the "ethics" part is problematic. Ethics requires a subject capable of making choices, understanding consequences, and bearing responsibility. A language model cannot do any of these things. When we talk about "AI ethics," we are really talking about human ethics -- the choices made by developers, deployers, and regulators. Blaming the machine for biased outputs or harmful decisions is a way to dodge accountability.

The real challenge is not teaching machines to be ethical. It is forcing ourselves to be honest about who builds these systems, who profits from them, and who gets harmed. Until we stop pretending that AI is a moral agent, the entire conversation around AI ethics will remain a comfortable distraction.