Generative AI & the government: looking through, thinking forward, contextualizing

Submissions open 1st October 2023


The launch of Chat GPT, one of the most known (so far) applications employing generative AI made scholars, practitioners, and indeed the society at large wonder about the scope of its possible applications. Simultaneously, fears about unintended consequences of generative AI mount, leading to some serious conversations about the need to develop a comprehensive, consistent, and coherent global regulatory framework to govern generative AI, its development and utilization.

This call for papers invites contributions that explore the nexus between the government and generative artificial intelligence (AI), thus identifying and exploring possible impacts, implications, feedback effects, especially as regards the consolidated modes of governance, policymaking, strategy design, and stakeholders’ involvement.

Generative AI is a term that relates to algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, and videos. Given the breadth and spread of the neural networks that, e.g. ChatGPT can draw from, and given the qualities of the algorithm that allows it to utilize these networks, the uses and applications of generative AI seem limitless. Recent experiences suggest, however, that – similarly as in the case of AI (Visvizi, 2022; Visvizi & Bodziany, 2022) – substantial scope for improvement exist, including the notions of bias, imprecision, faulty logic, as well as questions of ethics and legal frameworks.

To address these and other challenges generative AI creates, efforts are under way – driven by the OECD, the EU, and the UN – to build a consensus among all stakeholders, including the public and the private sector organizations, globally, regionally, and at country levels, as to the overall logic that should underpin the development and use of generative AI.

In this context, the question of the nexus between the government and generative AI emerges as one of the most interesting and possibly most potent questions, in that the government stands at the core of the necessary regulatory process geared toward making generative AI the source of good, i.e., a means enabling the society and the economy flourish. At the same time, the government itself may be both the beneficiary of generative AI, as well as – possibly – the pray of it.

From a different angle, in several ways, generative AI offers the potential of taking our thinking of the value of big data in the domains of governance, policymaking, strategy design, and stakeholders’ involvement. The goal of this Special Issue is to explore, in a conceptually and empirically sound manner, the complex set of topics that the arrival of generative AI puts forward.

List of topic areas

  • The regulatory challenge, including the question of innovation emergence, promotion, diffusion through generative AI;
  • The skills and dynamic capabilities needed to constructively address the emergence of generative AI, embracing the precepts of the Industry 5.0 paradigm and nourishing innovation;
  • The impact of generative AI on data-driven strategies, orientation and decision-making and on the emergence of innovation;
  • Generative AI and the policy-making process: from big-data driven policymaking to generative AI in policymaking, including the question of optimization of the policy-making process;
  • The impact of Generative AI on value and knowledge creation in smart ecosystems Generative AI and the government: the public organization perspective, including the impact on specific government functions and policies;
  • Generative AI and the government as a public policy issue;
  • The impact of Generative AI on the existing infrastructure (software and hardware): limits, opportunities, regulatory frameworks, stakeholders;
  • The contexts of Generative AI, including the business-government nexus, the civic society-government nexus, the politics-economic policy nexus, security, safety etc.

Submissions Information

Submissions are made using ScholarOne Manuscripts. Author guidelines must be strictly followed.

Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to “Please select the issue you are submitting to”. Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.

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Author Guidelines

Key deadlines

Opening date for manuscripts submissions: 01/10/2023

Closing date for manuscripts submission: 01/01/2024