scholarly journals Regulatory paths for artificial intelligence in latin american countries with data protection law frameworks: limits and possibilities of integrating policies

2021 ◽  
Author(s):  
Alexandre Veronese ◽  
Amanda Nunes Lopes Espiñeira Lemos
Keyword(s):  
Artificial Intelligence ◽  
Latin American ◽  
Data Protection ◽  
Qualitative Methodology ◽  
Public Policies ◽  
Personal Data ◽  
Economic Incentives ◽  
Ethical Guidelines ◽  
Data Protection Law ◽  
Latin American Countries

Many Latin American countries are investing on artificial intelligence (AI) plans or strategies focusing on improving their economic development. One crucial feature of any of those public policies is the regulatory framework. Besides the widespread mention of ethical guidelines, one can explore other regulatory paths, like personal data protection law, and economic incentives. The paper describes the AI public policies of the region’s countries that have data protection legal systems. It uses a qualitative methodology to assess AI policies and strategies in Argentina, Uruguay, Colombia, Mexico, Chile, and Brazil, describing their regulatory possibilities regarding data protection usage. After this description, the paper presents a debate about the limits and problems with using data protection to regulate AI. It concludes that the countries gave little space to assess technological investments as a regulatory possibility, even though all the other means rely on them to become effective. Also, it states that these investments must incorporate some social value dimension to actually benefit the countries.

Effects and Projections of the Brazilian General Data Protection Law (LGPD) Application and the Role of the DPO

2021 ◽  
pp. 195-208
Author(s):  
Claudio Roberto Pessoa ◽  
Bruna Cardoso Nunes ◽  
Camila de Oliveira ◽  
Marco Elísio Marques
Keyword(s):  
Artificial Intelligence ◽  
Data Protection ◽  
Personal Data ◽  
Personal Data Protection ◽  
Specific Objective ◽  
The World ◽  
General Data ◽  
Data Protection Law ◽  
The Impact

The world scenario is changing when we talk about personal data protection. Not that long ago, it was common to find companies that sell databases, and other companies that work with the information contained into these databases, aimed to create profiles and generate solutions, using technologies such as big data and artificial intelligence, among others, looking to be attractive and get more customers. In order to protect the privacy of citizens across the world, laws have been created and/or expanded to reinforce this protection. In Brazil, specifically, the Lei de Proteção de Dados Pessoais – LGPD [General Data Protection Law] was created. This research aims to analyze this law, as well as other laws that orbit around it. The goal is to know the impact of law enforcement on business routine and, as a specific objective, what the role of DPO (Data Protection Officer) in organizations will be.

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.

The Risk-Based Approach to Data Protection

2020 ◽  
Author(s):  
Raphaël Gellert
Keyword(s):  
Risk Management ◽  
Data Protection ◽  
Personal Data ◽  
Management Tools ◽  
General Data Protection Regulation ◽  
Regulation Theory ◽  
Régulation Theory ◽  
General Data ◽  
Data Protection Law ◽  
The Way

The main goal of this book is to provide an understanding of what is commonly referred to as “the risk-based approach to data protection”. An expression that came to the fore during the overhaul process of the EU’s General Data Protection Regulation (GDPR)—even though it can also be found in other statutes under different acceptations. At its core it consists in endowing the regulated organisation that process personal data with increased responsibility for complying with data protection mandates. Such increased compliance duties are performed through risk management tools. It addresses this topic from various perspectives. In framing the risk-based approach as the latest model of a series of regulation models, the book provides an analysis of data protection law from the perspective of regulation theory as well as risk and risk management literatures, and their mutual interlinkages. Further, it provides an overview of the policy developments that led to the adoption of such an approach, which it discusses in the light of regulation theory. It also includes various discussions pertaining to the risk-based approach’s scope and meaning, to the way it has been uptaken in statutes including key provisions such as accountability and data protection impact assessments, or to its potential and limitations. Finally, it analyses how the risk-based approach can be implemented in practice by providing technical analyses of various data protection risk management methodologies.

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.

scholarly journals Artificial intelligence, Digital Single Market and the proposal of a right to fair and reasonable inferences: a legal issue between ethics and techniques

2019 ◽  
Vol 5 (2) ◽  
pp. 75-91
Author(s):  
Alexandre Veronese ◽  
Alessandra Silveira ◽  
Amanda Nunes Lopes Espiñeira Lemos
Keyword(s):  
Artificial Intelligence ◽  
European Union ◽  
Data Protection ◽  
Personal Data ◽  
Legal Framework ◽  
Single Market ◽  
Legal Issue ◽  
The European Union ◽  
European Union Law ◽  
General Data Protection Regulation

The article discusses the ethical and technical consequences of Artificial intelligence (hereinafter, A.I) applications and their usage of the European Union data protection legal framework to enable citizens to defend themselves against them. This goal is under the larger European Union Digital Single Market policy, which has concerns about how this subject correlates with personal data protection. The article has four sections. The first one introduces the main issue by describing the importance of AI applications in the contemporary world scenario. The second one describes some fundamental concepts about AI. The third section has an analysis of the ongoing policies for AI in the European Union and the Council of Europe proposal about ethics applicable to AI in the judicial systems. The fourth section is the conclusion, which debates the current legal mechanisms for citizens protection against fully automated decisions, based on European Union Law and in particular the General Data Protection Regulation. The conclusion will be that European Union Law is still under construction when it comes to providing effective protection to its citizens against automated inferences that are unfair or unreasonable.

scholarly journals Ethical issues in computational pathology

2021 ◽  
pp. medethics-2020-107024
Author(s):  
Tom Sorell ◽  
Nasir Rajpoot ◽  
Clare Verrill
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Ethical Issues ◽  
Recent Literature ◽  
Personal Data ◽  
Ethical Problems ◽  
Data Ethics ◽  
Slide Image ◽  
Data Protection Law ◽  
Computational Pathology

This paper explores ethical issues raised by whole slide image-based computational pathology. After briefly giving examples drawn from some recent literature of advances in this field, we consider some ethical problems it might be thought to pose. These arise from (1) the tension between artificial intelligence (AI) research—with its hunger for more and more data—and the default preference in data ethics and data protection law for the minimisation of personal data collection and processing; (2) the fact that computational pathology lends itself to kinds of data fusion that go against data ethics norms and some norms of biobanking; (3) the fact that AI methods are esoteric and produce results that are sometimes unexplainable (the so-called ‘black box’problem) and (4) the fact that computational pathology is particularly dependent on scanning technology manufacturers with interests of their own in profit-making from data collection. We shall suggest that most of these issues are resolvable.

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