Theorizing the regulation of generative AI: lessons learned from Italy's ban on ChatGPT

Simple item page
dc.contributor.authorGualdi, Francesco
dc.contributor.authorCordella, Antonio
dc.date.accessioned2023-12-26T18:37:56Z
dc.date.available2023-12-26T18:37:56Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.252
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherfc605742-fa3e-48b1-a678-f0b959d35a5e
dc.identifier.urihttps://hdl.handle.net/10125/106631
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDigital Government Theory: Development and Application
dc.subjectai regulation
dc.subjectchatgpt
dc.subjectethics.
dc.subjectgenerative ai
dc.subjectlaw
dc.titleTheorizing the regulation of generative AI: lessons learned from Italy's ban on ChatGPT
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractExisting literature has predominantly concentrated on the legal and ethical aspects of government initiatives to regulate AI, often relegating the technological dimension to the periphery. However, the emergence and widespread use of generative AI models present new challenges for public regulators. Generative AI operates on distinctive technological properties which require a comprehensive understanding by regulators prior to the enactment of pertinent legislation. This paper focuses on the recent case of the Italian ban on ChatGPT to illustrate the public regulators’ failure in acknowledging the unique characteristics intrinsic to generative AI, culminating in a flawed regulatory endeavour. By drawing on the findings of an exploratory case study, this paper contributes to the theoretical understanding of AI regulation, highlighting the discordance between the dynamism and fluidity of generative AI and the rigidity of regulatory frameworks. The paper contends that until this tension is effectively addressed, public regulatory interventions are likely to underachieve their intended objectives.
dcterms.extent10 pages
prism.startingpage2023

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
0198.pdf
Size:
496.32 KB
Format:
Adobe Portable Document Format
Download

Collections

Digital Government Theory: Development and Application