The Transparent Self Under Big Data Profiling: Privacy and Chinese Legislation on the Social Credit System

China’s Social Credit System (SCS) has captured the imagination and power of big data technology. Launched at the national level in 2014, the system’s aim is to assess the trustworthiness of Chinese citizens in keeping their promises and complying with legal rules, moral norms, and professional and ethical standards. It is essentially a collaborative project between the authorities and the business sectors to rate both individuals and other entities. In certain contexts, each individual will be given a social credit score or rank. Despite the claimed good will to curb escalating dishonesty across societal sectors in China, the worry is that the totality of individuals’ lives will be captured, that citizens will be monitored and that the Orwellian state will become a reality. Individuals risk being reduced to transparent selves before the state in this uneven battle. They are uncertain about what contributes to their social credit scores, how those scores are combined with the state system, and how their data is interpreted and used. In short, the big data-driven SCS is confronting Chinese citizens with major challenges to their privacy and personal data, amongst other interests critical to them. This article first maps out the background to the construction of China’s big data social laboratory and the SCS, and then summarises the legislative history and evolving concept of social credit. It stresses that apart from the conspicuous SCS policy document introduced by the Chinese central government, pilot legislation has already been implemented at the local levels to regulate the collection and processing of social credit data. The third part critically reviews such local legislation (which often uses the term ‘public credit information’) with reference to personal data protection principles. It also highlights the restrictions on the data subjects’ rights that are placed by the uncoordinated legal framework of personal data and the extra-legal regime of personal archive. It argues that existing legislation and proposed regulations require substantial revisions to mitigate the impacts of the SCS on data privacy. This article hopes to lay the groundwork for further legal study related to social credit and big data in China.preprin

Impact of melamine-tainted milk on foetal kidneys and disease development later in life

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Omicron variant susceptibility to neutralizing antibodies induced in children by natural SARS-CoV-2 infection or COVID-19 vaccine

The novel SARS-CoV-2 Omicron variant may increase the risk of re-infection and vaccine breakthrough infections as it possesses key mutations in the spike protein that affect neutralizing antibody response. Most studies on neutralization susceptibility were conducted using specimens from adult COVID-19 patients or vaccine recipients. However, since the paediatric population has an antibody response to SARS-CoV-2 infection that is distinct from the adult population, it is critical to assess the neutralization susceptibility of pediatric serum specimens. This study compared the neutralization susceptibility of serum specimens collected from 49 individuals of <18 years old, including 34 adolescent BNT162b2 (Pfizer-BioNTech) vaccine recipients, and 15 recovered COVID-19 patients aged between 2 and 17. We demonstrated that only 38.2% of BNT162b2 vaccine recipients and 26.7% of recovered COVID-19 patients had their serum neutralization titre at or above the detection threshold in our live virus microneutralization assay. Furthermore, the neutralizing antibody titer against the Omicron variant was substantially lower than those against the ancestral virus or the Beta variant. Our results suggest that vaccine recipients and COVID-19 patients in the pediatric age group will likely be more susceptible to vaccine breakthrough infections or reinfections due to the Omicron variant than previous variants

Studies in RF power communication, SAR, and temperature elevation in wireless implantable neural interfaces

Implantable neural interfaces are designed to provide a high spatial and temporal precision control signal implementing high degree of freedom real-time prosthetic systems. The development of a Radio Frequency (RF) wireless neural interface has the potential to expand the number of applications as well as extend the robustness and longevity compared to wired neural interfaces. However, it is well known that RF signal is absorbed by the body and can result in tissue heating. In this work, numerical studies with analytical validations are performed to provide an assessment of power, heating and specific absorption rate (SAR) associated with the wireless RF transmitting within the human head. The receiving antenna on the neural interface is designed with different geometries and modeled at a range of implanted depths within the brain in order to estimate the maximum receiving power without violating SAR and tissue temperature elevation safety regulations. Based on the size of the designed antenna, sets of frequencies between 1 GHz to 4 GHz have been investigated. As expected the simulations demonstrate that longer receiving antennas (dipole) and lower working frequencies result in greater power availability prior to violating SAR regulations. For a 15 mm dipole antenna operating at 1.24 GHz on the surface of the brain, 730 uW of power could be harvested at the Federal Communications Commission (FCC) SAR violation limit. At approximately 5 cm inside the head, this same antenna would receive 190 uW of power prior to violating SAR regulations. Finally, the 3-D bio-heat simulation results show that for all evaluated antennas and frequency combinations we reach FCC SAR limits well before 1 °C. It is clear that powering neural interfaces via RF is possible, but ultra-low power circuit designs combined with advanced simulation will be required to develop a functional antenna that meets all system requirements. © 2013 Zhao et al

The transparent self in China's big data ecosystem

Session - Governing Big Data: Rules, Regulations, and Their Implication

Doxing victimization and emotional problems among secondary school students in Hong Kong

201904 bcmaVersion of RecordPublishe