Can the United States provide a higher standard of personal data protection than the EU?

2017 ◽  
Vol 41 (6) ◽  
pp. 360-363
Author(s):  
Bartosz Marcinkowski

Significance Such programmes contribute not only to Indonesia’s efforts to boost the cyber readiness of its booming digital economy, but are also designed to maintain China's friendly relations with South-east Asia’s largest economy amid the intensifying technology tensions between China and the United States. Impacts The Personal Data Protection Law would need to clarify key provisions and concepts to be effective. The BSSN’s extensive powers will fuel civil society concerns about excessive state surveillance. Turning down Chinese technology suppliers carries cost and wider economic ramifications for Jakarta.


Lentera Hukum ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 301
Author(s):  
Denindah Olivia

This paper analyzes the importance of Indonesia's comprehensive legal framework on automated decision-making empowered by Artificial Intelligence, comparing it to the European Union, the United States, and China. Specifically, this paper inquires about the status quo of the legal protection of automated decision-making In Indonesia. The analysis highlights profiling in an automated decision-making system with the following discussion about personal data protection. In this context, the European Union's member states set out the General Data Protection Regulation (GDPR) that prohibits automated decision-making to a certain extent. In the United States, the practice of automated decision-making is rather usual. Simultaneously, China takes an exceptional measure instead and develops this automation through a social credit system. The analysis concludes that Indonesia has weak legal protection towards personal data and profiling, which later becomes the basis in facilitating automated decision-making. The provision of automated decision-making and profiling is the absolute bare minimum to Indonesia's Personal Data Protection Bill due to insufficient legal certainty. In the end, it is paramount for lawmakers to consider a comprehensive regulation on automated decision-making by adopting the European Union's GDPR framework. KEYWORDS: Artificial Intelligence, Automated Decision-Making, Personal Data Protection.


2020 ◽  
Vol 21 (6) ◽  
pp. 1283-1308
Author(s):  
Jie (Jeanne) Huang

AbstractThe recent COVID-19 outbreak has pushed the tension of protecting personal data in a transnational context to an apex. Using a real case where the personal data of an international traveler was illegally released by Chinese media, this Article identifies three trends that have emerged at each stage of conflict-of-laws analysis for lex causae: (1) The EU, the US, and China characterize the right to personal data differently; (2) the spread-out unilateral applicable law approach comes from the fact that all three jurisdictions either consider the law for personal data protection as a mandatory law or adopt connecting factors leading to the law of the forum; and (3) the EU and China strongly advocate deAmericanization of substantive data protection laws. The trends and their dynamics provide valuable implications for developing the choice of laws for transnational personal data. First, this finding informs parties that jurisdiction is a predominant issue in data breach cases because courts and regulators would apply the law of the forum. Second, currently, there is no international treaty or model law on choice-of-law issues for transnational personal data. International harmonization efforts will be a long and difficult journey considering how the trends demonstrate not only the states’ irreconcilable interests but also how states may consider these interests as their fundamental values that they do not want to trade off. Therefore, for states and international organizations, a feasible priority is to achieve regional coordination or interoperation among states with similar values on personal data protection.


2004 ◽  
Vol 24 (1) ◽  
pp. 127-144 ◽  
Author(s):  
SEBASTIAAN PRINCEN

This article analyses the conditions under which a race to the top or California effect is likely to take place. To that end, it examines two cases in which the EU restricted or threatened to restrict imports from the United States and Canada because of differences in regulatory standards. In one case, the European data protection directive, a California effect occurred. In the other case, the EU ban on hormone-treated beef, no California effect occurred. An analysis of these two cases leads to two additions to existing explanations of the California effect. The analysis also has a number of implications for the debate on the race to the bottom thesis.


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