Polyviou, A. and Zamani, E.D. orcid.org/0000-0003-3110-7495 (2023) Are we nearly there yet? A desires & realities framework for Europe's AI strategy. Information Systems Frontiers, 25. pp. 143-159. ISSN 1387-3326
Abstract
Of all emerging technologies, Artificial Intelligence (AI) is perhaps the most debated topic in contemporary society because it promises to redefine and disrupt several sectors. At the same time, AI poses challenges for policymakers and decision-makers, particularly regarding formulating strategies and regulations to address their stakeholders’ needs and perceptions. This paper explores stakeholder perceptions as expressed through their participation in the formulation of Europe's AI strategy and sheds light on the challenges of AI in Europe and the expectations for the future. Our analysis reveals six dimensions towards an AI strategy; ecosystems, education, liability, data availability sufficiency & protection, governance and autonomy. It draws on these dimensions to construct a desires-realities framework for AI strategy in Europe and provide a research agenda for addressing existing realities. Our findings contribute to understanding stakeholder desires on AI and hold important implications for research, practice and policymaking.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2022 The Authors. This is an author-produced version of a paper subsequently published in Information Systems Frontiers. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Artificial Intelligence; AI Strategy; technology policy; technology regulation; AI ethics |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Apr 2022 14:21 |
Last Modified: | 08 Jun 2023 00:13 |
Status: | Published |
Publisher: | Springer Nature |
Refereed: | Yes |
Identification Number: | 10.1007/s10796-022-10285-2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185427 |