scholarly journals Data Privacy Protection in News Crowdfunding in the Era of Artificial Intelligence

2022 ◽  
Vol 30 (7) ◽  
pp. 1-16
Author(s):  
Zhiqiang Xu ◽  
Dong Xiang ◽  
Jialiang He
Keyword(s):  
Artificial Intelligence ◽  
College Students ◽  
Privacy Protection ◽  
Data Privacy ◽  
Personal Data ◽  
Survey Method ◽  
Personal Credit ◽  
Privacy Measures ◽  
Neural Network Prediction ◽  
Data Privacy Protection

This paper aims to study the protection of data privacy in news crowdfunding in the era of artificial intelligence. This paper respectively quotes the encryption algorithm of artificial intelligence data protection and the BP neural network prediction model to analyze the data privacy protection in news crowdfunding in the artificial intelligence era. Finally, this paper also combines the questionnaire survey method to understand the public’s awareness of privacy. The results of this paper show that artificial intelligence can promote personal data awareness and privacy, improve personal data and privacy measures and methods, and improve the effectiveness and level of privacy and privacy. In the analysis, the survey found that male college students only have 81.1% of the cognition of personal trait information, only 78.5% of network trace information, and only 78.3% of female college students’ cognition of personal credit.

Consumer Privacy Protection in the European Union

2012 ◽  
pp. 331-349
Author(s):  
Faye Fangfei Wang
Keyword(s):  
Information Systems ◽  
Privacy Protection ◽  
Data Privacy ◽  
Personal Data ◽  
The European Union ◽  
Consumer Privacy ◽  
Protection Legislation ◽  
Data Privacy Protection ◽  
Enforcement Mechanisms ◽  
The Eu

With the development of automated information systems, consumers’ decisions can be made based on models of individuals’ preferences without any personal interaction. This raises serious concerns regarding data-privacy protection. Up-to-date legislation and appropriate technological measures are needed to enhance lawful access, process, and storage of sensitive personal data under automated information systems. This chapter provides the general interpretation of the requirements of security, personal data breach notification systems, and enforcement mechanisms according to the EU data privacy protection legislation. It aims to examine and evaluate whether the EC Data Protection Directive in 1995 and the new EC e-Privacy Directive amended by the Directive 2009/136/EC are sufficient to ensure the security of the future development of automated information systems that automatically capture, process, store, and analyse sensitive personal data across the EU countries. It discusses the impact of the EC directives to business organizations and proposes solutions to enhance the protection of users’/consumers’ privacy from a legal perspective.

scholarly journals Data Privacy in Electronic Commerce: Analysing Legal Provisions in Iran

2016 ◽  
Vol 9 (7) ◽  
pp. 133
Author(s):  
Parviz Bagheri ◽  
Kamal Halili Hassan
Keyword(s):  
Electronic Commerce ◽  
Privacy Protection ◽  
Data Privacy ◽  
Personal Data ◽  
Legal Protection ◽  
Internet Commerce ◽  
Protection Measures ◽  
Legal Provisions ◽  
Commerce Law ◽  
Data Privacy Protection

This article discusses the legal protection of data privacy in electronic commerce in Iran. Currently, there is a gap in respect of data privacy protection in Iran as there is no specific privacy legislation in force. Consequently, e-consumers dealing in internet commerce are less protected. However there are rules and regulations in the laws in Iran such as the Islamic Republic (IR) of Iran Constitution, Computer Crimes Act, Penal Code, and Civil Liability Act which relate to privacy in general, although not directly related to data privacy in e-commerce. The Electronic Commerce Law (ECL) is the main legislation in Iran which contains some provisions on personal data privacy. This article discusses the relevant provisions in the ECL pertaining to data messages and privacy and interprets its various meanings to determine whether they are in line with well established principles found in good data privacy protection measures.

scholarly journals THE RIGHT TO DATA PROTECTION VERSUS “SECURITY”

2020 ◽  
Vol 15 (36) ◽  
pp. 209-232
Author(s):  
Marcos Vinicius Viana da Silva ◽  
Erick Da Luz Scherf ◽  
Jose Everton Da Silva
Keyword(s):  
Data Protection ◽  
Privacy Protection ◽  
Data Privacy ◽  
Personal Data ◽  
Fundamental Rights ◽  
State Of Exception ◽  
Personal Data Protection ◽  
Data Privacy Protection ◽  
Rights Discourse ◽  
The Right

The protection of personal data in the cyberspace has been an issue of concern for quite some time. However, with the revolutions in information technology, big data and the internet of things, data privacy protection has become paramount in an era of free information flows. Considering this context, this research intends to shine a light on the experience of Brazil regarding data privacy protection, through the analysis of a brand new bill passed by Congress: the Brazilian General Personal Data Protection Act. Our assessment of the legislation was made from the perspective of a human rights-based approach to data, aiming to analyze both advancements, limitations and contradictions of the rights-discourse in the LGPD. Our main conclusions were that the (public and national) security rhetoric, also present in the bill, can create a state of exception regarding the processing of personal data of those considered “enemies of the state”, which may result in violations of fundamental rights and procedural guarantees.

A federated interpretable scorecard and its application in credit scoring

2021 ◽  
pp. 2142009
Author(s):  
Fanglan Zheng ◽  
Erihe ◽  
Kun Li ◽  
Jiang Tian ◽  
Xiaojia Xiang
Keyword(s):  
Privacy Protection ◽  
Data Privacy ◽  
Credit Scoring ◽  
Training Session ◽  
Model Performance ◽  
Parameter Tuning ◽  
Kolmogorov Smirnov ◽  
Data Privacy Protection ◽  
Tuning Process ◽  
Positive Coefficients

In this paper, we propose a vertical federated learning (VFL) structure for logistic regression with bounded constraint for the traditional scorecard, namely FL-LRBC. Under the premise of data privacy protection, FL-LRBC enables multiple agencies to jointly obtain an optimized scorecard model in a single training session. It leads to the formation of scorecard model with positive coefficients to guarantee its desirable characteristics (e.g., interpretability and robustness), while the time-consuming parameter-tuning process can be avoided. Moreover, model performance in terms of both AUC and the Kolmogorov–Smirnov (KS) statistics is significantly improved by FL-LRBC, due to the feature enrichment in our algorithm architecture. Currently, FL-LRBC has already been applied to credit business in a China nation-wide financial holdings group.

Is There a Better Option than the Data Transfer Model to Protect Data Privacy?

2019 ◽  
Vol 42 (2) ◽  
Author(s):  
Alan Toy ◽  
Gehan Gunasekara
Keyword(s):  
Privacy Protection ◽  
Data Privacy ◽  
Data Transfer ◽  
Business Environment ◽  
Transfer Model ◽  
Privacy Rights ◽  
Choice Of Law ◽  
Privacy Laws ◽  
Data Privacy Protection ◽  
Extraterritorial Jurisdiction

The data transfer model and the accountability model, which are the dominant models for protecting the data privacy rights of citizens, have begun to present significant difficulties in regulating the online and increasingly transnational business environment. Global organisations take advantage of forum selection clauses and choice of law clauses and attention is diverted toward the data transfer model and the accountability model as a means of data privacy protection but it is impossible to have confidence that the data privacy rights of citizens are adequately protected given well known revelations regarding surveillance and the rise of technologies such as cloud computing. But forum selection and choice of law clauses no longer have the force they once seemed to have and this opens the possibility that extraterritorial jurisdiction may provide a supplementary conceptual basis for championing data privacy in the globalised context of the Internet. This article examines the current basis for extraterritorial application of data privacy laws and suggests a test for increasing their relevance.

Dealing with Data Privacy Protection

2003 ◽  
Author(s):  
Fritz Grupe ◽  
William Kuechler ◽  
Scott Sweeney
Keyword(s):  
Privacy Protection ◽  
Data Privacy ◽  
Data Privacy Protection
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