Author
Abstract
The advent of generative AI presentes unprecedents opportunities and challenges within the public sector, calling for a detailed examination of its influence to harness its capabilities while safeguarding fundamental European values. This policy brief aims to examine the current usage, possible benefits, challenges and future prospects for the use of generative AI in the public sector. It analyses the phenomenon from three perspective. At individual level, our analysis of the current landscape reveals that 30% of public managers are using online generative AI technologies, with anticipation of increased adoption, as evidenced by an additional 44% planning to integrate these tools in the near future. At organisational level, public administrations are actively exploring the creation of in-house generative AI applications, with approximately 60 use cases currently identified across Europe. Moreover, still at organisationa level, some public administrations are developing guideline sto suppoort civil servants in using generative AI. Finally, at national level, there is a burgeoning effort to craft necessary policy frameworks and regulatory mechanisms to guide the ethical and effective use of generative AI. Some member states are also considering the development of national generative AI models to better support official national lan-guages, particularly those less represented. Despite these advancements, the discourse surrounding generative AI in the public sector is punctuated by numerous unresolved questions, particularly regarding long-term implications, governance, and the balance between innovation and privacy. As the landscape continuously evolves, an urgent need for continuous evaluation and policy adaptation emerges. Addressing these open inquiries will be critical in ensuring that the integration of generative AI into public services not only boosts efficiency and effectiveness but also adheres to the high standards of ethics and transparency expected within European public institutions.
Suggested Citation
Luca Tangi & Marco Combetto & Isabelle Hupont Torres & Eimear Farrell & Sven Schade, 2024.
"The potential of generative AI for the public sector: current use, key questions and policy considerations,"
JRC Research Reports
JRC139825, Joint Research Centre.
Handle:
RePEc:ipt:iptwpa:jrc139825
Download full text from publisher
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:ipt:iptwpa:jrc139825. 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.
We have no bibliographic references for this item. You can help adding them by using 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: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.