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Record W4387404226 · doi:10.20431/2349-0381.1008007

Surveillance Creep in Times of Crisis: The Alipay Health Code and Implications for Privacy, Civil Liberties, and Social Control

2023· article· en· W4387404226 on OpenAlexaff
Jerry Li, Dr.Sarah Clayton

Bibliographic record

VenueInternational Journal of Humanities Social Sciences and Education · 2023
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsImpact
Fundersnot available
KeywordsCivil libertiesPolitical scienceControl (management)CreepSocial controlCode (set theory)Computer securityLawInternet privacyComputer scienceArtificial intelligenceProgramming languagePoliticsPhysics

Abstract

fetched live from OpenAlex

Surveillance permeates nearly every aspect of society, spanning across numerous domains.It is pervasive and deeply entrenched, and can be an effective tool to identify possible problems and maintain social order.However, the abuse of surveillance driven by greed or power raises social concern and citizens may decide to redress the balance of power with the state through protest or other means.A new type of coronavirus disease, known as Covid-19, originated in Wuhan, Hubei, China, in late December 2019.This disease, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), resulted in severe pneumonia in some individuals.With its high infectivity and ability to spread between humans, Covid-19 quickly spread across China and eventually evolved into a global pandemic affecting countries worldwide.What accompanied the spread of the virus was a wave of panic.Starting from China, governments around the world tried to come up with various coping strategies, including but not limited to the development of vaccines, mass quarantine, restriction on traveling, city lockdown, and the implementation of large-scale surveillance.Among all these methods, the Alipay Health Code system has been able to achieve significant success in regulating people's movement and reducing the risk of contagions.This is a digital health tracking system created by Ant Financial Services Group, affiliated with Alibaba Group, as a response to the Covid-19 pandemic.It uses a color-coded QR code (red, yellow, or green) to indicate an individual's health status and their potential risk of spreading Covid-19.To obtain the code, users must complete a health declaration questionnaire through the Alipay app, sharing details about their travel history, current health condition, and potential exposure to the Abstract: This paper illustrates the ways in which governments can infringe upon civil liberties and expand surveillance measures in response to a crisis, through employing technological determinism as a vehicle to examine the Alipay Health Code system.The system was developed by Alipay and introduced in China in 2020 in response to the Covid-19 crisis to help monitor and control the spread of the virus, but was heavily criticized on social media by many Chinese people and was eventually scrapped in December 2022.It argues that surveillance technologies are inherently deterministic as they shape societal structures and power dynamics, often reinforcing existing hierarchies and inequalities.While social constructivism could be employed to analyze surveillance technologies, many stakeholders are not able to actively participate in shaping the discourse, utilization, and governance of these technologies due to limited access to information and power differentials, and the technological "black box" makes it challenging for citizens to fully understand and influence the decision-making processes and algorithms that govern their lives.It further argues that it is inevitable that the government will use another crisis to implement a surveillance system that expands its monitoring capabilities and further encroaches on individual privacy in the future.As a society, we must decide how to balance the need for public safety with the protection of civil liberties, ensuring transparency, accountability, and citizen participation in shaping the deployment and governance of such systems so that the deterministic nature of these technologies is tempered by ethical considerations and safeguards to prevent abuses of power.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.618
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.130
GPT teacher head0.492
Teacher spread0.362 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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