GenAI is the star topic of conversation of the past few months. This contribution aims to shed light on a complex theme, through an analysis of the orders of the Italian Privacy Authority, while simultaneously providing guidance to examine the connection between the traditional categories of Law and new notions deriving from technological implementation, particularly regarding those introduced by generative AI systems and their impact on the data protection framework.

Judging the accuracy and efficiency of AI from a data privacy perspective: a qualitative v. quantitative approach / Brozzetti, Filiberto. - (2024), pp. 187-193.

Judging the accuracy and efficiency of AI from a data privacy perspective: a qualitative v. quantitative approach

Filiberto Brozzetti
2024

Abstract

GenAI is the star topic of conversation of the past few months. This contribution aims to shed light on a complex theme, through an analysis of the orders of the Italian Privacy Authority, while simultaneously providing guidance to examine the connection between the traditional categories of Law and new notions deriving from technological implementation, particularly regarding those introduced by generative AI systems and their impact on the data protection framework.
2024
9791280600592
Generative AI (GenAI); Data Protection; Algorithmic Decision-Making; Data Accuracy; AI liability
Judging the accuracy and efficiency of AI from a data privacy perspective: a qualitative v. quantitative approach / Brozzetti, Filiberto. - (2024), pp. 187-193.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11385/247979
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