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Impact Evaluation on the European Privacy Laws governing generative-AI models -- Evidence in Relation between Internet Censorship and the Ban of ChatGPT in Italy

General Economics · Submitted 9 Jul 2024

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Our findings shows the apparent inability for the users in the internet accesses as a result of EU regulations on the generative-AI.

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arXiv ID2407.06495 (version 1)
Pith IDB5BXSULJ, Pith's permanent record of this paper and its review
CitationTatsuru Kikuchi. "Impact Evaluation on the European Privacy Laws governing generative-AI models -- Evidence in Relation between Internet Censorship and the Ban of ChatGPT in Italy." arXiv:2407.06495 (2024). https://pith.science/paper/B5BXSULJ
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,255 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.09 · human participants 0.10 · controlled comparison 0.08 · randomized assignment 0.02 · states quantitative result 0.64 · compares with prior results 0.05 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We proceed an impact evaluation on the European Privacy Laws governing generative-AI models, especially, focusing on the effects of the Ban of ChatGPT in Italy. We investigate on the causal relationship between Internet Censorship Data and the Ban of ChatGPT in Italy during the period from March 27, 2023 to April 11, 2023. We analyze the relation based on the hidden Markov model with Poisson emissions. We find out that the HTTP Invalid Requests, which decreased during those period, can be explained with seven-state model. Our findings shows the apparent inability for the users in the internet accesses as a result of EU regulations on the generative-AI.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We proceed an impact evaluation on the European Privacy Laws governing generative-AI models, especially, focusing on the effects of the Ban of ChatGPT in Italy. contribution 0.97 0.88 0.04 asserted 0.57
s1 We investigate on the causal relationship between Internet Censorship Data and the Ban of ChatGPT in Italy during the period from March 27, 2023 to April 11, 2023. contribution 0.96 0.92 0.04 unclear 0.53
s2 We analyze the relation based on the hidden Markov model with Poisson emissions. method 1.00 0.92 0.02 asserted 0.92
s3 We find out that the HTTP Invalid Requests, which decreased during those period, can be explained with seven-state model. result 1.00 0.95 0.17 asserted 1.00
s4 Our findings shows the apparent inability for the users in the internet accesses as a result of EU regulations on the generative-AI. interpretation 0.86 0.91 0.77 asserted 0.98

What kind of paper the classifier reports this is: empirical study 1.00 · evidence from analysis of existing data 0.99.

What was examined, and what was not

sources read
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not examined
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We proceed an impact evaluation on the European Privacy Laws governing generative-AI models, especially, focusing on the effects of the Ban of ChatGPT in Italy. We investigate on the causal relationship between Internet Censorship Data and the Ban of ChatGPT in Italy during the period from March 27, 2023 to April 11, 2023. We analyze the relation based on the hidden Markov model with Poisson emissions. We find out that the HTTP Invalid Requests, which decreased during those period, can be explained with seven-state model. Our findings shows the apparent inability for the users in the internet accesses as a result of EU regulations on the generative-AI.

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