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EU Ethical Charter on the Use of Artificial Intelligence in Judicial Systems with a part of the law being established on Blockchain as a trojan horse anti-counterfeiting in a Global perspective

https://doi.org/10.17803/2311-5998.2020.66.2.036-042

Abstract

In 2018 the use of artificial intelligence (AI) algorithms in European judicial systems remains primarily a private-sector commercial initiative aimed at insurance companies, legal departments, lawyers and individuals. The European Commission for the Efficiency of Justice (CEPEJ) of the Council of Europe in the 4 of the december 2018 has adopted the first european text setting out ethical principles relating to the use of artificial intelligence (AI) in judicial systems. The Charter provides a framework of principles that can guide policy makers, legislators and justice professionals when they grapple with the rapid development of AI in national judicial processes. Aside from the benefits for copyright traceability and management, blockchain can also become a central means for protecting digital assets and provide the rightholder with the ability to pursue civil and criminal remedies. The Anti-Counterfeiting Blokathon Forum on 2018 takes forward its works on using blockchain to cocreate the future EU anti-counterfeiting infrastructure. Could blockchain live up to the challenge? Any future anti-counterfeiting blockchain solution must comply with Regulation (EU) No 608/2013 of the European Parliament and of the Council of 12 June 2013 concerning customs enforcement of intellectual property rights, and with Ethical Charter made from CEPEJ in the 2018.

About the Author

M. Antinucci
Римский университет Сапиенца
Italy
00185, Rome, Piazzale Aldo Moro, 5


References

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Review

For citations:


Antinucci M. EU Ethical Charter on the Use of Artificial Intelligence in Judicial Systems with a part of the law being established on Blockchain as a trojan horse anti-counterfeiting in a Global perspective. Courier of Kutafin Moscow State Law University (MSAL)). 2020;(2):36-42. https://doi.org/10.17803/2311-5998.2020.66.2.036-042

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ISSN 2311-5998 (Print)
ISSN 2782-6163 (Online)