Indonesian cybersecurity faces geopolitical hurdles

2021 ◽  
Keyword(s):  
United States ◽  
Civil Society ◽  
Data Protection ◽  
Personal Data ◽  
The United States ◽  
Digital Economy ◽  
Content Type ◽  
Personal Data Protection ◽  
State Surveillance ◽  
Data Protection Law

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.

Gender-based cybercrime is likely to rise in India

2021 ◽  
Keyword(s):  
Civil Society ◽  
Data Protection ◽  
Personal Data ◽  
Content Type ◽  
Digital Platforms ◽  
Customer Base ◽  
Personal Data Protection ◽  
Online Safety ◽  
Data Protection Law ◽  
Gender Based

Significance The experience of surfing the net is vastly different for women, who have been disproportionately at the receiving end of cybercrimes that undermine their safety online. As elsewhere, the forms of online offence included bullying, stalking, impersonation and non-consensual pornography. Impacts Lack of online safety will limit the female customer base of digital platforms. Entrenched weaknesses of the judicial systems impede reporting and conviction of cybercrime. Civil society demands for a personal data protection law will rise.

scholarly journals Legal Aspects of Artificial Intelligence on Automated Decision-Making in Indonesia

Lentera Hukum ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 301
Author(s):  
Denindah Olivia
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Decision Making ◽  
Data Protection ◽  
Personal Data ◽  
Legal Protection ◽  
The United States ◽  
The European Union ◽  
Personal Data Protection ◽  
Automated Decision Making

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.

Foreign firms resist India's data localisation plan

2018 ◽  
Keyword(s):  
Data Protection ◽  
Central Government ◽  
Personal Data ◽  
Digital Economy ◽  
Foreign Firms ◽  
Regulatory Regime ◽  
Fake News ◽  
Content Type ◽  
Personal Data Protection ◽  
The Government

Subject Reform of data policies. Significance The central government is developing a new regulatory regime for data protection. The main elements likely in the regulatory push are elaborated in ‘The Personal Data Protection Bill, 2018’ (PDP bill) and the accompanying report entitled ‘A Free and Fair Digital Economy’ submitted to the government in July by the Justice BN Srikrishna committee of experts. Impacts The proposals, if implemented, would increase the state’s surveillance capabilities. New rules would also force large domestic firms to share their data, somewhat encouraging smaller entrants. The government will struggle to limit the spread of fake news and misinformation, even where these trigger violence.

Importance of Personal Data Protection Law for Commercial Air Transport

2017 ◽  
Vol 2017 (1) ◽  
pp. 35-44
Author(s):  
Dawid Zadura
Keyword(s):  
Data Protection ◽  
Public Information ◽  
Personal Data ◽  
Air Transport ◽  
Civil Aviation ◽  
Aviation Industry ◽  
Personal Data Protection ◽  
It Systems ◽  
Data Protection Law ◽  
The Law

Abstract In the review below the author presents a general overview of the selected contemporary legal issues related to the present growth of the aviation industry and the development of aviation technologies. The review is focused on the questions at the intersection of aviation law and personal data protection law. Massive processing of passenger data (Passenger Name Record, PNR) in IT systems is a daily activity for the contemporary aviation industry. Simultaneously, since the mid- 1990s we can observe the rapid growth of personal data protection law as a very new branch of the law. The importance of this new branch of the law for the aviation industry is however still questionable and unclear. This article includes the summary of the author’s own research conducted between 2011 and 2017, in particular his audits in LOT Polish Airlines (June 2011-April 2013) and Lublin Airport (July - September 2013) and the author’s analyses of public information shared by International Civil Aviation Organization (ICAO), International Air Transport Association (IATA), Association of European Airlines (AEA), Civil Aviation Authority (ULC) and (GIODO). The purpose of the author’s research was to determine the applicability of the implementation of technical and organizational measures established by personal data protection law in aviation industry entities.

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