Data science, artificial intelligence and the third wave of digital era governance

Abstract

This article examines the model of digital era governance (DEG) in the light of the latest-wave of data-driven technologies, such as data science methodologies and artificial intelligence (labelled here DSAI). It identifies four key top-level macro-themes through which digital changes in response to these developments may be investigated. First, the capability to store and analyse large quantities of digital data obviates the need for data ‘compression’ that characterises Weberian-model bureaucracies, and facilitates data de-compression in data-intensive information regimes, where the capabilities of public agencies and civil society are both enhanced. Second, the increasing capability of robotic devices have expanded the range of tasks that machines extending or substituting workers’ capabilities can perform, with implications for a reshaping of state organisation. Third, DSAI technologies allow new options for partitioning state functions in ways that can maximise organisational productivity, in an ‘intelligent centre, devolved delivery’ model within vertical policy sectors. Fourth, within each tier of government, DSAI technologies offer new possibilities for ‘administrative holism’ - the horizontal allocation of power and functions between organisations, through state integration, common capacity and needs-based joining-up of services. Together, these four themes comprise a third wave of DEG changes, suggesting important administrative choices to be made regarding information regimes, state organisation, functional allocation and outsourcing arrangements, as well as a long-term research agenda for public administration, requiring extensive and detailed analysis.

Democratic Erosion of Data-Opolies: Decentralized Web3 Technological Paradigm Shift Amidst AI Disruption

“…The article explores emancipatory datafication strategies, including (i) blockchain-based decentralized data architectures [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25], (ii) decentralized autonomous organizations (DAOs) [26][27][28][29][30][31][32][33], and (iii) data cooperatives [34][35][36][37], as means to empower individuals and communities in reclaiming control over their data. In conclusion, the article explores a paradigm shift in data governance [38][39][40][41][42], calling for collective efforts to build more equitable and sustainable data spaces and ecosystems, with a focus on prioritizing data sovereignty and achieving digital self-determination [43][44][45][46]. Navigating utopian resistance while tracing emancipatory datafication strategies is crucial in light of data's pivotal role in global digital economies [47].…”

Resh(AI)ping Good Administration: Addressing the Mass Effects of Public Sector Digitalisation

“…Around the world, States are thus experimenting with AI technology, seeking more streamlined and efficient digital government and public services (OECD.AI 2023; Joint Research Centre AI Watch 2022)-in no small part as a driver for rationalisation or savings-generation in the organisation of their public administrations. The adoption of datadriven approaches, digital technologies, and AI to support or automate decision-making in the public sector is quickly transforming public governance (Yeung 2022;Dunleavy and Margetts 2023).…”