Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Existing 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.
Recommended Citation
Gualdi, Francesco and Cordella, Antonio, "Theorizing the regulation of generative AI: lessons learned from Italy's ban on ChatGPT" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 2.
https://aisel.aisnet.org/hicss-57/dg/theory/2
Theorizing the regulation of generative AI: lessons learned from Italy's ban on ChatGPT
Hilton Hawaiian Village, Honolulu, Hawaii
Existing 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.
https://aisel.aisnet.org/hicss-57/dg/theory/2