Semantic Scholar Open Access 2024 10 sitasi

Cybernetic governance: implications of technology convergence on governance convergence

A. Zwitter

Abstrak

Governance theory in political science and international relations has to adapt to the onset of an increasingly digital society. However, until now, technological advancements and the increasing convergence of technologies outpace regulatory efforts and frustrate any efforts to apply ethical and legal frameworks to these domains. This is due to the convergence of multiple, sometimes incompatible governance frameworks that accompany the integration of technologies on different platforms. This theoretical claim will be illustrated by examples such as the integration of technologies on the “human platform” as it is referred to in the case of enhanced soldiers. Hence, successful governance might require new approaches borrowed from a distant relative, namely cybernetics. Insights gained from cybernetics for governance theories might be able to give guidance for a more efficient and adaptive governance approach that is able to deal with increasing complexity caused by technology and governance convergence. While cybernetics itself might be considered a governance approach, it has had surprisingly little reception in the wider field of governance within the area of social and political sciences. This article will develop cybernetic governance as a set of expandable governance principles that are applicable to an increasingly complex digital and smart society. It thereby tries to further galvanise what could be termed cybernetic governance theory as a subject of worthwhile insights from the combination of otherwise largely the disjoined fields of cybernetics and governance.

Topik & Kata Kunci

Penulis (1)

A

A. Zwitter

Format Sitasi

Zwitter, A. (2024). Cybernetic governance: implications of technology convergence on governance convergence. https://doi.org/10.1007/s10676-024-09763-9

Akses Cepat

Lihat di Sumber doi.org/10.1007/s10676-024-09763-9
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
10×
Sumber Database
Semantic Scholar
DOI
10.1007/s10676-024-09763-9
Akses
Open Access ✓