IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v25y2023i1d10.1007_s10796-022-10285-2.html
   My bibliography  Save this article

Are we Nearly There Yet? A Desires & Realities Framework for Europe’s AI Strategy

Author

Listed:
  • Ariana Polyviou

    (University of Nicosia)

  • Efpraxia D. Zamani

    (The University of Sheffield)

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.

Suggested Citation

  • Ariana Polyviou & Efpraxia D. Zamani, 2023. "Are we Nearly There Yet? A Desires & Realities Framework for Europe’s AI Strategy," Information Systems Frontiers, Springer, vol. 25(1), pages 143-159, February.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:1:d:10.1007_s10796-022-10285-2
    DOI: 10.1007/s10796-022-10285-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-022-10285-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-022-10285-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nancy Pouloudi & Wendy Currie & Edgar A. Whitley, 2016. "Entangled Stakeholder Roles and Perceptions in Health Information Systems: A Longitudinal Study of the U.K. NHS N3 Network," Post-Print hal-01282317, HAL.
    2. Benjamin Saunders & Julius Sim & Tom Kingstone & Shula Baker & Jackie Waterfield & Bernadette Bartlam & Heather Burroughs & Clare Jinks, 2018. "Saturation in qualitative research: exploring its conceptualization and operationalization," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1893-1907, July.
    3. Inga Ulnicane & William Knight & Tonii Leach & Bernd Carsten Stahl & Winter-Gladys Wanjiku, 2021. "Framing governance for a contested emerging technology:insights from AI policy [The next space race is Artificial Intelligence]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 40(2), pages 158-177.
    4. Alkemade, Floortje & Suurs, Roald A.A., 2012. "Patterns of expectations for emerging sustainable technologies," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 448-456.
    5. van Lente, Harro & Spitters, Charlotte & Peine, Alexander, 2013. "Comparing technological hype cycles: Towards a theory," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1615-1628.
    6. Collins, Christopher & Dennehy, Denis & Conboy, Kieran & Mikalef, Patrick, 2021. "Artificial intelligence in information systems research: A systematic literature review and research agenda," International Journal of Information Management, Elsevier, vol. 60(C).
    7. Sarah Bankins & Paul Formosa & Yannick Griep & Deborah Richards, 2022. "AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context," Information Systems Frontiers, Springer, vol. 24(3), pages 857-875, June.
    8. Pouloudi, Nancy & Currie, Wendy & Whitley, Edgar A., 2016. "Entangled stakeholder roles and perceptions in health information systems: a longitudinal study of the UK NHS N3 network," LSE Research Online Documents on Economics 62275, London School of Economics and Political Science, LSE Library.
    9. Oleksandr Melnychenko, 2020. "Is Artificial Intelligence Ready to Assess an Enterprise’s Financial Security?," JRFM, MDPI, vol. 13(9), pages 1-19, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Denis Dennehy & Anastasia Griva & Nancy Pouloudi & Yogesh K. Dwivedi & Matti Mäntymäki & Ilias O. Pappas, 2023. "Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI," Information Systems Frontiers, Springer, vol. 25(1), pages 1-7, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Franco-Trigo, L. & Fernandez-Llimos, F. & Martínez-Martínez, F. & Benrimoj, S.I. & Sabater-Hernández, D., 2020. "Stakeholder analysis in health innovation planning processes: A systematic scoping review," Health Policy, Elsevier, vol. 124(10), pages 1083-1099.
    2. Shi, Yuwei & Herniman, John, 2023. "The role of expectation in innovation evolution: Exploring hype cycles," Technovation, Elsevier, vol. 119(C).
    3. Kriechbaum, Michael & Posch, Alfred & Hauswiesner, Angelika, 2021. "Hype cycles during socio-technical transitions: The dynamics of collective expectations about renewable energy in Germany," Research Policy, Elsevier, vol. 50(9).
    4. Ozgun, Burcu & Broekel, Tom, 2021. "The geography of innovation and technology news - An empirical study of the German news media," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Medaglia, Rony & Eaton, Ben & Hedman, Jonas & Whitley, Edgar A., 2022. "Mechanisms of power inscription into IT governance: lessons from two national digital identity systems," LSE Research Online Documents on Economics 108207, London School of Economics and Political Science, LSE Library.
    6. Irina V. Efimenko & Vladimir F. Khoroshevsky, 2017. "Peaks, Slopes, Canyons and Plateaus: Identifying Technology Trends Throughout the Life Cycle," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 1-28, April.
    7. Kriechbaum, Michael & López Prol, Javier & Posch, Alfred, 2018. "Looking back at the future: Dynamics of collective expectations about photovoltaic technology in Germany & Spain," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 76-87.
    8. Gregory, Amanda J. & Atkins, Jonathan P. & Midgley, Gerald & Hodgson, Anthony M., 2020. "Stakeholder identification and engagement in problem structuring interventions," European Journal of Operational Research, Elsevier, vol. 283(1), pages 321-340.
    9. Kirkels, Arjan, 2016. "Biomass boom or bubble? A longitudinal study on expectation dynamics," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 83-96.
    10. Daniel Fürstenau & Carolin Auschra & Stefan Klein & Martin Gersch, 2019. "A process perspective on platform design and management: evidence from a digital platform in health care," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 581-596, December.
    11. Budde, Björn & Konrad, Kornelia, 2019. "Tentative governing of fuel cell innovation in a dynamic network of expectations," Research Policy, Elsevier, vol. 48(5), pages 1098-1112.
    12. Choudrie, Jyoti & Manandhar, Nuga & Castro, Carolina & Obuekwe, Chikelue, 2023. "Hey Siri, Google! Can you help me? A qualitative case study of smartphones AI functions in SMEs," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    13. Dedehayir, Ozgur & Steinert, Martin, 2016. "The hype cycle model: A review and future directions," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 28-41.
    14. Samuli Laato & Matti Mäntymäki & A. K.M. Najmul Islam & Sami Hyrynsalmi & Teemu Birkstedt, 2023. "Trends and Trajectories in the Software Industry: implications for the future of work," Information Systems Frontiers, Springer, vol. 25(2), pages 929-944, April.
    15. Bjerkan, Kristin Ystmark & Ryghaug, Marianne, 2021. "Diverging pathways to port sustainability: How social processes shape and direct transition work," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    16. Jun, Seung-Pyo & Yoo, Hyoung Sun & Choi, San, 2018. "Ten years of research change using Google Trends: From the perspective of big data utilizations and applications," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 69-87.
    17. Jennifer Tartaglia & Michelle McIntosh & Jonine Jancey & Jane Scott & Andrea Begley, 2021. "Exploring Feeding Practices and Food Literacy in Parents with Young Children from Disadvantaged Areas," IJERPH, MDPI, vol. 18(4), pages 1-18, February.
    18. Najwa Taghy & Linda Cambon & Caroline Boulliat & Olivier Aromatario & Claude Dussart, 2021. "Exploring the Determinants of Polypharmacy Prescribing and Dispensing Behaviours in Primary Care for the Elderly—Protocol for a Qualitative Study," IJERPH, MDPI, vol. 18(14), pages 1-10, July.
    19. Van Droogenbroeck, Ellen & Van Hove, Leo, 2020. "Intra-household task allocation in online grocery shopping: Together alone," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    20. Thuy Séran & Anne-Sophie Fernandez & Hervé Chappert, 2024. "Managing coopetition in multi-unit organizations: a management-control perspective," Review of Managerial Science, Springer, vol. 18(10), pages 2889-2924, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:25:y:2023:i:1:d:10.1007_s10796-022-10285-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.