Governance of AI and by AI : Feedback Loops, Regime Variation
and Reflexive Polycentric Control

J 2026

Governance of AI and by AI : Feedback Loops, Regime Variation and Reflexive Polycentric Control

KLEINER, Jan

Základní údaje

Originální název

Governance of AI and by AI : Feedback Loops, Regime Variation and Reflexive Polycentric Control

Autoři

KLEINER, Jan

Vydání

Global Policy, WILEY-BLACKWELL, 2026, 1758-5880

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50601 Political science

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Full text (open access)

Impakt faktor

Impact factor: 1.800 v roce 2024

Označené pro přenos do RIV

Ano

Organizační jednotka

Fakulta sociálních studií

Klíčová slova anglicky

AI governance; cybernetic control; legitimacy; political regimes; reflexive polycentric control

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 16. 9. 2026 19:47, Mgr. Blanka Farkašová

Anotace

V originále

This article develops a conceptual framework that links the governance of and by artificial intelligence (AI) into a single con-tinuum that varies across political regime types. Although existing scholarship typically treats governance of AI—oversight,regulation and ethical alignment—and governance by AI—the embedding of algorithms into decision-making—as separatedomains, this article argues that such a dichotomy obscures their mutual dependence. It introduces the framework of ReflexivePolycentric Control (RPC), which views AI governance as two coupled feedback loops: an outer loop of societal oversight andan inner loop of operational deployment. Drawing on reflexive modernization, cybernetic control theory and polycentric gov-ernance, RPC specifies three design principles—distributed authority, requisite variety and reflexive checkpoints—that enablestability and adaptability. The framework further highlights how regime type conditions loop dynamics. Democracies exhibitresilience but fragmentation, autocracies achieve coherence at the cost of brittleness, and transitional regimes face volatility be-cause of inconsistent feedback. RPC thereby provides a logically coherent, testable baseline for analysing AI governance acrossdiverse political contexts and for guiding future empirical research.

Přiložené soubory

Global_Policy_-_2026_-_Kleiner_-_Governance_of_AI_and_by_AI_Feedback_Loops_Regime_Varia.pdf

Citovat

KLEINER, Jan. Governance of AI and by AI : Feedback Loops, Regime Variation and Reflexive Polycentric Control. Global Policy. WILEY-BLACKWELL, 2026, roč. 17, č. 3, s. 500-505. ISSN 1758-5880. Dostupné z: https://doi.org/10.1111/1758-5899.70177.

@article{2578178,
   author = {Kleiner, Jan},
   article_number = {3},
   doi = {https://doi.org/10.1111/1758-5899.70177},
   keywords = {AI governance; cybernetic control; legitimacy; political regimes; reflexive polycentric control},
   language = {eng},
   issn = {1758-5880},
   journal = {Global Policy},
   title = {Governance of AI and by AI : Feedback Loops, Regime Variation and Reflexive Polycentric Control},
   url = {https://onlinelibrary.wiley.com/doi/10.1111/1758-5899.70177},
   volume = {17},
   year = {2026}
}

TY  - JOUR
ID  - 2578178
AU  - Kleiner, Jan
PY  - 2026
TI  - Governance of AI and by AI : Feedback Loops, Regime Variation and Reflexive Polycentric Control
JF  - Global Policy
VL  - 17
IS  - 3
SP  - 500-505
EP  - 500-505
PB  - WILEY-BLACKWELL
SN  - 17585880
KW  - AI governance
KW  - cybernetic control
KW  - legitimacy
KW  - political regimes
KW  - reflexive polycentric control
UR  - https://onlinelibrary.wiley.com/doi/10.1111/1758-5899.70177
N2  - This article develops a conceptual framework that links the governance of and by artificial intelligence (AI) into a single con-tinuum that varies across political regime types. Although existing scholarship typically treats governance of AI—oversight,regulation and ethical alignment—and governance by AI—the embedding of algorithms into decision-making—as separatedomains, this article argues that such a dichotomy obscures their mutual dependence. It introduces the framework of ReflexivePolycentric Control (RPC), which views AI governance as two coupled feedback loops: an outer loop of societal oversight andan inner loop of operational deployment. Drawing on reflexive modernization, cybernetic control theory and polycentric gov-ernance, RPC specifies three design principles—distributed authority, requisite variety and reflexive checkpoints—that enablestability and adaptability. The framework further highlights how regime type conditions loop dynamics. Democracies exhibitresilience but fragmentation, autocracies achieve coherence at the cost of brittleness, and transitional regimes face volatility be-cause of inconsistent feedback. RPC thereby provides a logically coherent, testable baseline for analysing AI governance acrossdiverse political contexts and for guiding future empirical research.
ER  -

KLEINER, Jan. Governance of AI and by AI : Feedback Loops, Regime Variation and Reflexive Polycentric Control. \textit{Global Policy}. WILEY-BLACKWELL, 2026, roč.~17, č.~3, s.~500-505. ISSN~1758-5880. Dostupné z: https://doi.org/10.1111/1758-5899.70177.

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