Human Judgment Boundary

Human Judgment Boundary

Xufen Tu · Independent Interdisciplinary Researcher Public Citation Version: v1.0

AI systems can offer information and possibilities that people find useful. Their contribution does not, by itself, establish that a person has understood a consequential choice or that anyone has taken responsibility for its effects.

The public research problem is the difference between a human being nominally involved and meaningful human judgment. A person’s name or presence may suggest accountability while leaving open what that person understood, whether they could question a result, and whether an affected person can obtain an answer.

My observation is that formal participation can be mistaken for substantive responsibility. This matters when an outcome affects someone’s opportunities, safety, rights or resources. The affected person experiences the consequence regardless of how human involvement was described.

My current position is that automated assistance does not automatically transfer responsibility away from people or institutions. Meaningful human judgment concerns understanding, accountability and the ability to respond to questions about consequential choices. Merely identifying a person as involved does not establish that those qualities were present.

This is a research boundary, not a universal test for particular cases. It does not specify a required arrangement for AI use, guarantee that human choices will be correct, or decide who bears responsibility in an individual dispute. Those questions depend on context and evidence.