Say cheese! Privacy and facial recognition

The popular social networking site, Facebook, recently launched a facial recognition tool to help users tag photographs they uploaded to Facebook. This generated significant controversy, arising as much as anything, from the company’s failure to adequately inform users of this new service and to explain how the technology works.The incident illustrates the sensitivity of facial recognition technology and the potential conflict with data privacy laws. However, facial recognition has been around for some time and is used by businesses and public organisations for a variety of purposes – primarily in relation to law enforcement, border control, photo editing and social networking. There are also indications that the technology could be used by commercial entities for marketing purposes in the future.This article considers the technology, its practical applications and the manner in which European data protection laws regulate its use. In particular, how much control should we have over our own image? What uses of this technology are, and are not, acceptable? Ultimately, does European data protection law provide an adequate framework for this technology? Is it a framework which protects the privacy of individuals without unduly constraining the development of innovative and beneficial applications and business models?     

When video cameras watch and screen: Privacy implications of pattern recognition technologies

Computer vision technologies based on pattern recognition software will soon allow identifying human behaviour that deviates from a pre-defined normality. Such applications are foreseen, amongst others, to be used in public places with purposes of crime prevention, especially in the context of the fight against terrorism. This technology increases the level of automation of video surveillance, changing the main nature of surveillance. The balance of power between the citizen and the State is altered, calling for a new balancing of interests. The automation of risk detection moreover raises the issue of the protection against partially automated decision-making. This paper will deal with the challenges raised by proactive video surveillance technologies to the way how privacy and security have been balanced so far. Attention will moreover be brought to the new safeguards that should be devised to protect the citizens from increased scrutiny and growing automation of the decision-making process.     

Predicting public support for the use of license plate recognition technology by police

The use of license plate recognition technology (LPR) by police is becoming increasingly common. LPR may be used for many purposes, ranging from stolen vehicle enforcement to more complex surveillance and predictive functions. Existing research does not examine community support for this technology, despite its potential to impact police legitimacy. Results from the first community LPR survey are presented and multinomial logistic regression models of citizen support for the technology are developed. Regression results suggest that a number of factors significantly predict citizen support for LPR use, including increased trust in police and the belief that LPR information is public information.     

论法人的基本权利主体地位

美国宪法并没有规定公司是基本权利主体,美国联邦最高法院在很多判例中亦认定美国宪法的特权与豁免条款不适用于公司。宪法第14修正案通过后,尤其是自19世纪80年代以来,美国联邦最高法院逐渐将宪法的保护扩大适用于公司,使得公司成为某些宪法基本权利的主体。这一转变迎合了美国经济发展的需要,使得国内统一大市场的建立成为可能。本文借鉴美国的宪法实践,细致梳理了公司作为基本权利主体的相关理论。     

NAFTA对当前美国自由贸易协定投资条款的影响

首先简述了美国自由贸易协定的发展,进一步揭示了NAFTA影响美国自由贸易协定投资条款内容的背景,随后主要从最低待遇标准和征收两个方面阐述NAFTA对当前美国自由贸易协定投资条款的影响。最后分析了美国自由贸易协定投资条款变化对中国的启示。