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Humanity as a Middle Child in the Age of AI: Patterns of Delegation and Epistemic Atrophy

A warning that over-delegating inference to AI can weaken the very judgment humans need to supervise it.

Source Paper

This page is a simplified guide to the paper. The source document is linked below; the guide here keeps the main idea accessible and tied back to the site’s model.

Open on Academia.edu

Low-Register Abstract

This paper treats humanity as caught between older human reasoning habits and newer machine reasoning systems. The danger is not only that AI will be wrong. The danger is that people may stop practicing the effortful parts of judgment.

Epistemic atrophy means a weakening of our ability to ask, doubt, compare, revise, and take responsibility for confidence. If a system gives fluent answers too easily, the user may outsource the struggle that normally builds rational skill.

How It Fits Credencing

The paper reinforces the site’s distinction between using tools and surrendering credence. AI can help with evidence search, comparison, and explanation, but the user still has to decide how much confidence is warranted.

It also deepens the discussion of Deep Rationality (SD): formal and technical capacity can move into tools, but Core Rationality still requires active human responsiveness to perceived evidence.

How to Read It

Read this alongside the AI Alignment and skills pages. A good practical test is: after using AI, can you explain what changed your confidence and why?