IDEAS home Printed from https://ideas.repec.org/p/ocp/pbecon/pb_10-24.html
   My bibliography  Save this paper

AI and the Future of Government: Unexpected Effects and Critical Challenges

Author

Listed:
  • Tiago C. Peixoto
  • Otaviano Canuto,
  • Luke Jordan

Abstract

Based on observable facts, this policy paper explores some of the less- acknowledged yet critically important ways in which artificial intelligence (AI) may affect the public sector and its role. Our focus is on those areas where AI's influence might be understated currently, but where it has substantial implications for future government policies and actions. We identify four main areas of impact that could redefine the public sector role, require new answers from it, or both. These areas are the emergence of a new language-based digital divide, jobs displacement in the public administration, disruptions in revenue mobilization, and declining government responsiveness. This discussion not only identifies critical areas but also underscores the importance of transcending conventional approaches in tackling them. As we examine these challenges, we shed light on their significance, seeking to inform policymakers and stakeholders about the nuanced ways in which AI may quietly, yet profoundly, alter the public sector landscape.

Suggested Citation

  • Tiago C. Peixoto & Otaviano Canuto, & Luke Jordan, 2024. "AI and the Future of Government: Unexpected Effects and Critical Challenges," Policy briefs on Economic Trends and Policies 2408, Policy Center for the New South.
    • Handle: RePEc:ocp:pbecon:pb_10-24
    as

    Download full text from publisher

    File URL: https://www.policycenter.ma/sites/default/files/2024-03/PB_10-24_C.%20Peixoto%2C%20Otaviano%20Canuto%2CLuke%20Jordan.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bhattacharya, Sukanta & Saha, Sarani & Banerjee, Sarmila, 2016. "Income inequality and the quality of public services: A developing country perspective," Journal of Development Economics, Elsevier, vol. 123(C), pages 1-17.
    2. Martin Beraja & David Y Yang & Noam Yuchtman, 2023. "Data-intensive Innovation and the State: Evidence from AI Firms in China," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1701-1723.
    Full references (including those not matched with items on IDEAS)

    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. repec:ocp:ppaper:pb10-24 is not listed on IDEAS
    2. Tamay Besiroglu & Nicholas Emery-Xu & Neil Thompson, 2022. "Economic impacts of AI-augmented R&D," Papers 2212.08198, arXiv.org, revised Jan 2023.
    3. Li, Mengxu & Liu, Jianghua & Chen, Yang & Yang, Zhijiu, 2023. "Can sustainable development strategy reduce income inequality in resource-based regions? A natural resource dependence perspective," Resources Policy, Elsevier, vol. 81(C).
    4. Catherine E. Tucker, 2023. "The Economics of Privacy: An Agenda," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    5. Shiju Liao & Xiaoyun Du & Liyin Shen & Minghe Lv, 2021. "Evaluation Method for Urban Public Service Carrying Capacity (UPSCC): A Qualitative–Quantitative Bi-Dimensional Perspective," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    6. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    7. Christian Peukert & Florian Abeillon & Jérémie Haese & Franziska Kaiser & Alexander Staub, 2024. "Strategic Behavior and AI Training Data," CESifo Working Paper Series 11099, CESifo.
    8. Debojyoti Mazumder & Rajit Biswas, 2017. "Political Regime Change and State Performance," Review of Economics and Institutions, Università di Perugia, vol. 8(1).
    9. Ma, Rui & Guo, Fei & Li, Dongdong, 2024. "Can public data availability affect stock price crash risk? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 94(C).
    10. Li, Yuetong & Wang, Xinyi & Zheng, Xiaojia, 2024. "Data assets and corporate sustainable development: evidence from ESG in China," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    11. Bin Liao, 2024. "Does New Urbanization Promote Urban Metabolic Efficiency?," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    12. Naudé, Wim & Dimitri, Nicola, 2021. "Public Procurement and Innovation for Human-Centered Artificial Intelligence," IZA Discussion Papers 14021, Institute of Labor Economics (IZA).
    13. Freeman, Richard B. & Yang, Buyuan & Zhang, Baitao, 2023. "Data deepening and nonbalanced economic growth," Journal of Macroeconomics, Elsevier, vol. 75(C).
    14. David Karpa & Torben Klarl & Michael Rochlitz, 2021. "Artificial Intelligence, Surveillance, and Big Data," Papers 2111.00992, arXiv.org.
    15. Yan Wang & Ping Han, 2023. "Digital Transformation, Service-Oriented Manufacturing, and Total Factor Productivity: Evidence from A-Share Listed Companies in China," Sustainability, MDPI, vol. 15(13), pages 1-24, June.
    16. Maryna Shashyna & Petro Gudz & Alla Pankova & Olesia Benchak & Oksana Nemyrovska, 2023. "Modernization of public administration in Eastern Europe in the context of implementation of digitalization," Eastern-European Journal of Enterprise Technologies, PC TECHNOLOGY CENTER, vol. 4(13 (124)), pages 57-65, August.
    17. Hao, Xuejing & Hu, Feng & Li, Zhu, 2024. "Entrepreneur-investor gender match effects in startup funding: Evidence from an entrepreneurial-themed reality TV show in China," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 811-832.
    18. Mary Merva & Adrian Stoian & Simona Costagli, 2021. "Effective information, political structure and economic growth," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(4), pages 597-620, October.
    19. Chakraborty, Pavel & Chakrabarti, Anindya S. & Chatterjee, Chirantan, 2023. "Cross-border environmental regulation and firm labor demand," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    20. Zekun Li & Shenjing He & Shiliang Su & Guie Li & Fei Chen, 2020. "Public Services Equalization in Urbanizing China: Indicators, Spatiotemporal Dynamics and Implications on Regional Economic Disparities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 1-65, November.
    21. Ocampo, Lanndon & Alinsub, Jovir & Casul, Ruselle Anne & Enquig, Germellie & Luar, Mitzi & Panuncillon, Noche & Bongo, Miriam & Ocampo, Christine Omela, 2019. "Public service quality evaluation with SERVQUAL and AHP-TOPSIS: A case of Philippine government agencies," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).

    More about this item

    Statistics

    Access and download statistics

    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:ocp:pbecon:pb_10-24. 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: Policy Center for the New South's Customer service (email available below). General contact details of provider: https://edirc.repec.org/data/ocppcma.html .

    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.