{"id":4838,"date":"2026-01-05T10:37:20","date_gmt":"2026-01-05T10:37:20","guid":{"rendered":"https:\/\/jakubieciwspolnicy.pl\/?p=4838"},"modified":"2026-01-07T14:59:42","modified_gmt":"2026-01-07T14:59:42","slug":"coupled-confirmation-bias-how-does-it-look-like","status":"publish","type":"post","link":"https:\/\/jakubieciwspolnicy.pl\/en\/coupled-confirmation-bias-how-does-it-look-like\/","title":{"rendered":"COUPLED CONFIRMATION BIAS \u2013 HOW DOES IT LOOK LIKE?"},"content":{"rendered":"\n

In this article, I want to explain in a shorter and more accessible way how Coupled ConfirmationBias works. Also I want to show, what does a feedback loop in AI\u2011consulted conflicts actually look like. Imagine two people in a dispute. Both are using AI to interpret the other\u2019s behaviour. The conflict begins at what I call Level 1 (L1) \u2014 the baseline interpretation of the other side\u2019s actions. Importantly, L1, L2 and L3 are not merely different interpretations of the same actions; each level involves a new or intensified set of behaviors driven by AI-reinforced interpretation.<\/strong>

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What Coupled Confirmation Bias (CCB) is?<\/h2>\n\n\n\n

The\u00a0Coupled Confirmation Bias (CCB)<\/strong>\u00a0is a conflict escalation mechanism in which two or more parties to a dispute, relying on\u00a0external interpretive systems perceived as epistemically privileged<\/strong>, mutually legitimize their own narratives. This mechanism is\u00a0recursive<\/strong>. Actions taken on the basis of such legitimization subsequently become\u00a0input data<\/strong>\u00a0for further analysis on the opposing side. This leads to a\u00a0coupled interpretive spiral<\/strong>\u00a0and a gradual narrowing of the negotiation space. By using the term\u00a0<\/strong>recursive<\/strong><\/em>, I refer to a spiral in which each human\u2013AI interaction amplifies the previous state.<\/strong><\/p>\n\n\n\n

How Coupled Confirmation Bias (CCB) forms?<\/h2>\n\n\n\n

Here is how Coupled Confirmation Bias forms:
<\/p>\n\n\n\n

1. A makes move A1.<\/p>\n\n\n\n


2. B consults AI about A1.
AI does not invent new meanings \u2014 it tends to reinforce the user\u2019s initial intuitions. But what are the initial intuitions created by? Humans start from a predictable place: the fundamental attribution error. We naturally explain others\u2019 behaviour through negative traits rather than external circumstances. It\u2019s fast, cognitively cheap, and emotionally self\u2011protective.
AI strengthens this starting point.
The result is tunnelled interpretation: B becomes more certain that A acted with negative intent.

3. B responds with move B1.
From B\u2019s perspective, this is a defensive reaction to a perceived threat. But A interprets B1 through the same mechanism \u2014 again reinforced by AI.
Now both sides interpret these moves as increasingly defensive or aggressive. A consults AI B1 and interprets it like an aggressive escalation, which requires a response.
And here is the crucial part:
\ud83d\udc49 A\u2019s response – A2 – is performed at a higher level of perceived escalation.
\ud83d\udc49 Interpretation changes behavior. Behaviour changes the conflict.
This is the shift from L1 to L2:
not just a cognitive loop, but a real behavioural escalation.

4. The loop accelerates.
Each side consults AI.
Also each side receives confirmation of its fears.
Each side responds defensively from its point of view.
Each defensive move is read by the other as escalation.
At this point, a classic security dilemma emerges:
each party, trying only to protect itself, unintentionally signals aggression to the other.<\/p>\n\n\n\n

Consequences<\/h2>\n\n\n\n


AI amplifies this dynamic by reinforcing each side\u2019s subjective narrative.
This is the core of what I call Coupled Confirmation Bias (CCB) \u2014 a recursive interpretive loop between two humans and two AI systems, producing real\u2011world escalation without bad intentions, without malice, and often without awareness.

My hypothesis builds on the pioneering research on human-AI cognitive loops especially by\u00a0M. Glickman, T. Sharot, and B. Wang, Yuxin Liu and Lenart Celar. While they focused on the individual bias, I observe how these loops collide in two-party disputes.<\/p>\n\n\n\n

I assume that similar phenomena also occur in multilateral disputes. Especially in tripartite arrangements, which are inherently very unstable.<\/p>\n\n\n\n

You can also read the main text:<\/p>\n\n\n\n

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COUPLED CONFIRMATION BIAS \u2013 MY CONCEPT<\/a><\/blockquote>