The "Seamless" Problem
As AI becomes more integrated, we’re obsessed with making it "seamless." But is total seamlessness always a good thing? When AI hides the boundary between human intent and machine inference, it creates a "Silent Delegation" trap. We lose the ability to see where our agency ends and the AI begins.
A New Design Philosophy: JTP
I want to propose a new standard for AI interaction: the Judgment Transparency Principle (JTP).
Instead of hiding the "seams," we should make the delegation of judgment perceivable. The core rule is simple: Any delegation of judgment to an AI must be perceivable by the user.
Concept Case: The Ghost Interface 👻
To illustrate JTP, I’ve developed the concept of the Ghost Interface.
Think of it as "hitbox debugging" for human agency. In 3D game development, we use hitboxes to see the logical boundary of an object that is otherwise invisible. I propose applying this same logic to "Semantic Topology" in AI UX.
Visualizing the Boundary
(a) Spatial Topology (3D Debug) vs (b) Semantic Topology (Ghost Interface)
As shown in the image above, a Ghost Interface renders a translucent "ghost" of the user's original intent directly beneath the AI’s inference. It gives the user an immediate, non-verbal sense of how much the AI has altered their intent—the "divergence" of judgment.
I've shared the core logic and some initial formulations here:
- GitHub: daiki-kadowaki/judgment-transparency-principle
- Full Concept Paper: The paper is currently under review at SSRN (Abstract ID: 5944516). While it's being processed, you can access the full manuscript directly via Google Drive here: JTP Paper - Google Drive
If you find this interesting, let's connect on X (Twitter): https://x.com/dk_jtp?s=21
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