Knowledge Management for Democratic Governance of Socio-Technical Systems

Jeremy Pitt, Ada Diaconescu, Josiah Ober

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The Digital Transformation (DX) is a broad term describing the changes and innovations brought about by the introduction of information and communication technologies into all aspects of society. One such innovation is to empower bottom-up, self-governing socio-technical systems for a range of applications. Such systems can be based on Ostrom’s design principles for self-governing institutions for sustainable common-pool resource management. However, two of these principles, both focussing on self-determination, are vulnerable to distortion: either from within, as a narrow clique take control and run the system in their own, rather than the collective, interest; or from without, as an external authority constrains opportunities for self-organisation. In this chapter, we propose that one approach to maintaining ‘good’, ‘democratic’ self-governance is to appeal to the transparent and inclusive knowledge management processes that were critical to the successful and sustained period of classical Athenian democracy, and reproduce those in computational form. We review a number of emerging technologies which could provide the building blocks for democratic self-governance in socio-technical systems. However, the reproduction of analogue social processes in digital form is not seamless and not without impact on, or consequences for, society, and we also consider a number of open issues which could disrupt this proposal. We conclude with the observation that ‘democracy’ is not an end-state, and emphasise that self-governing socio-technical systems need responsible design and deployment of technologies that allow for continuous re-design and self-organisation.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages38-61
Number of pages24
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11300 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Algorithmic self-governance
  • Democracy
  • Knowledge management
  • Socio-technical systems

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