Institutional Design for the AI Age

Vladimir Dyachkov PhD
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A podcast on how institutions are built, maintained, manipulated, and reformed in the AI age. Each episode explores power, governance, incentives, behavioral economics, social architecture, and the hidden systems shaping collective behavior. The show breaks down how social systems are designed, who benefits, and how they can be changed.

Episodes

  1. Jun 3

    The Environment of Social Institutions: Measuring the Informational and Behavioural Infrastructure

    This episode moves from institutions themselves to the environments that make them possible. The paper argues that the informational environment is not a neutral backdrop; it shapes how signals propagate and how behavioural patterns stabilize. We examine institutions as products of signal fields, behavioural infrastructure, norms, and communication environments. Read the article: ResearchGate article Book: Habit Machine: AI Product Management AI A2A HUB: itinai.com

    4 min

  2. Jun 2

    Defining Institutions: Why Modern Data Demands a New Empirical Institutional Theory

    This episode opens the series by asking why classical institutional theory struggles in the age of digital trace data. The paper argues that modern platforms generate observable behavioural signals at a scale that older definitions of institutions cannot operationalize. We discuss why institutions should be studied as measurable behavioural patterns rather than only as rules, norms, or constraints. Read the article: ResearchGate article Book: Habit Machine: AI Product Management AI A2A HUB: itinai.com

    3 min
  • 2 Episodes

About

A podcast on how institutions are built, maintained, manipulated, and reformed in the AI age. Each episode explores power, governance, incentives, behavioral economics, social architecture, and the hidden systems shaping collective behavior. The show breaks down how social systems are designed, who benefits, and how they can be changed.

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