MENTAL MODEL · M3273

Banopticon

BusinessHigh supportManagement

Included

Version 1.0.0 · Updated 2026-07-30

CORE DEFINITION

Unlike Foucault's Panopticon (which surveils everyone), Banopticon uses big data and algorithms to identify and exclude specific marginalized groups (such as refugees, the poor, and high-risk individuals) from society, managing them by freezing their mobility (e.g., visa denials, account bans), while the mainstream group enjoys freedom.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

Algorithmic discrimination analysis. It reveals that big data surveillance is not just 'watching you' but 'classifying you.' It explains why some people find technology makes life more convenient while others find it difficult to move.

anchor

Anchor fast decisions

Big data and algorithms no longer uniformly surveil everyone but differentially identify and freeze the mobility of specific marginalized groups (visa denials, account bans, throttling), allowing the mainstream group to maintain tacit consent to surveillance through being 'exempted.' Surveillance thus transforms into 'classification and exclusion.'

MINIMUM ACTION

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Practice this model in one real situation:

First, examine whether the classification and risk control rules in the system target specific groups. Second, identify the asymmetry of 'who is seen and who is excluded.' Third, question the data and bias sources behind algorithmic labels. Fourth, introduce fairness audits in design and governance.

Check to track your progress (stored locally)

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Source support: Explicit

link
en.wikipedia.orghttps://en.wikipedia.org/wiki/BanopticonZH · Explicit
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