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Enregistrement 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 sur OpenAlexaff
Jerry Li, Dr.Sarah Clayton

Notice bibliographique

RevueInternational Journal of Humanities Social Sciences and Education · 2023
Typearticle
Langueen
DomaineHealth Professions
ThématiquePublic Health Policies and Education
Établissements canadiensImpact
Organismes subventionnairesnon disponible
Mots-clésCivil libertiesPolitical scienceControl (management)CreepSocial controlCode (set theory)Computer securityLawInternet privacyComputer scienceArtificial intelligenceProgramming languagePoliticsPhysics

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,618
Score d'incertitude au seuil0,899

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,130
Tête enseignante GPT0,492
Écart entre enseignants0,362 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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