AI and Data Use: Surveillance Technology and Community Disquiet in the Age of COVID-19

A, Wee; Findlay, Mark

doi:10.2139/ssrn.3715993

Cited by 9 publications

(11 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mobile phone apps (particularly apps to support contact tracing), mobile phone location tracking through Bluetooth and GPS technologies, drones, temperature-scanning technologies, and wearable devices were among those most commonly discussed. Digital technologies were most frequently used to support contact tracing (ie, to identify individuals with the disease or symptoms and those with whom they have been in contact) [ 10 , 11 , 21 - 173 ]; to inform decision making by public health agencies, states, and individuals [ 21 , 25 , 28 , 31 , 44 , 47 , 49 , 51 - 53 , 56 - 60 , 62 , 63 , 66 , 67 , 77 , 81 - 83 , 88 - 90 , 94 , 97 , 98 , 102 , 104 , 121 , 129 , 157 - 159 , 167 , 170 , 171 , 174 - 204 ]; to monitor compliance with public health measures [ 21 , 23 , 25 , 28 , 30 , 34 - 38 , 41 , 42 , 44 , 45 , 54 - 58 , 60 , 61 , 63 , 71 , 83 , 85 , 86 , 89 , 91 , …”

Section: Resultsmentioning

confidence: 99%

“…In this way, civil liberties (eg, the right to privacy and the right to freedom of movement) ceded during the crisis may be difficult to reclaim. Likewise, interventions not normally accepted may be normalized over time [ 10 , 11 , 23 , 31 , 36 , 44 , 48 , 76 , 86 , 91 , 93 , 103 , 115 , 135 , 190 , 203 , 205 , 209 , 211 ]. For instance, Leclercq-Vandelannoitte and Aroles [ 86 ] drew on Deleuze’s concept of control societies to analyze the normalization of digital surveillance during the COVID-19 pandemic.…”

Section: Resultsmentioning

confidence: 99%

“…As such, many authors (n=46) expressed concern regarding the lack of guidelines related to the collection and use of individuals’ information within contemporary digital public health surveillance practices. They also emphasized the tensions created by the omnipresence of digital public health surveillance technologies and the urgency of their employment, which prohibited full discussion of the impacts and implications of digital surveillance strategies on public understanding and acceptance of surveillance practices [ 22 , 23 , 26 , 28 , 29 , 33 - 35 , 43 , 47 , 53 - 55 , 58 , 63 , 75 , 83 , 86 , 90 , 92 , 97 , 103 , 109 , 118 , 122 , 123 , 129 , 134 , 142 , 149 , 155 , 160 , 162 , 174 , 188 , 190 , 192 , 196 , 209 , 210 , 221 , 225 , 226 , 229 , 232 , 234 ].…”

Section: Resultsmentioning

confidence: 99%

“…Several authors (n=27) highlighted private sector involvement in digital surveillance for public health and how private interests may lead to invasive, inequitable, or harmful surveillance if data are collected and used for commercial purposes [ 21 , 23 , 24 , 29 , 31 , 35 , 44 , 45 , 58 , 60 , 75 , 86 , 93 , 114 , 115 , 122 - 125 , 162 , 173 , 185 , 190 , 195 , 204 , 211 , 213 , 230 ]. Many of the digital technologies identified within the literature were developed and deployed through private companies or private–public partnerships.…”

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review

Comer,

Donelle,

Hiebert

et al. 2024

JMIR Public Health Surveill

View full text Add to dashboard Cite

Background The COVID-19 pandemic has prompted the deployment of digital technologies for public health surveillance globally. The rapid development and use of these technologies have curtailed opportunities to fully consider their potential impacts (eg, for human rights, civil liberties, privacy, and marginalization of vulnerable groups). Objective We conducted a scoping review of peer-reviewed and gray literature to identify the types and applications of digital technologies used for surveillance during the COVID-19 pandemic and the predicted and witnessed consequences of digital surveillance. Methods Our methodology was informed by the 5-stage methodological framework to guide scoping reviews: identifying the research question; identifying relevant studies; study selection; charting the data; and collating, summarizing, and reporting the findings. We conducted a search of peer-reviewed and gray literature published between December 1, 2019, and December 31, 2020. We focused on the first year of the pandemic to provide a snapshot of the questions, concerns, findings, and discussions emerging from peer-reviewed and gray literature during this pivotal first year of the pandemic. Our review followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) reporting guidelines. Results We reviewed a total of 147 peer-reviewed and 79 gray literature publications. Based on our analysis of these publications, we identified a total of 90 countries and regions where digital technologies were used for public health surveillance during the COVID-19 pandemic. Some of the most frequently used technologies included mobile phone apps, location-tracking technologies, drones, temperature-scanning technologies, and wearable devices. We also found that the literature raised concerns regarding the implications of digital surveillance in relation to data security and privacy, function creep and mission creep, private sector involvement in surveillance, human rights, civil liberties, and impacts on marginalized groups. Finally, we identified recommendations for ethical digital technology design and use, including proportionality, transparency, purpose limitation, protecting privacy and security, and accountability. Conclusions A wide range of digital technologies was used worldwide to support public health surveillance during the COVID-19 pandemic. The findings of our analysis highlight the importance of considering short- and long-term consequences of digital surveillance not only during the COVID-19 pandemic but also for future public health crises. These findings also demonstrate the ways in which digital surveillance has rendered visible the shifting and blurred boundaries between public health surveillance and other forms of surveillance, particularly given the ubiquitous nature of digital surveillance. International Registered Report Identifier (IRRID) RR2-https://doi.org/10.1136/bmjopen-2021-053962

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review

Comer,

Donelle,

Hiebert

et al. 2024

JMIR Public Health Surveill

View full text Add to dashboard Cite

show abstract

“…The overall impact of this benefit will ensure that the virus has been mitigated. The attribute of AI technology controlling the remediation of Covid 19 will ensure that patients can maintain themselves without help from others (Wee & Findlay, 2020). This aspect ensures that cost has been saved exponentially through this technology.…”

Section: E Controlling the Remediationmentioning

confidence: 99%

The Role of Artificial Intelligence in Tackling Covid-19 (A Review)

Panda¹

2023

AJRSP

View full text Add to dashboard Cite

This paper investigates how Artificial Intelligence (AI) can be used to combat the Covid 19 epidemic. The article first introduces the benefits of AI and how it has been used to aid people during the pandemic. The history of the Covid-19 pandemic is laid out, and AI technology is introduced. It then examines the responses to the pandemic and its effects on the economy and society. The research uses a qualitative methodology, which entailed looking at original documents and supplementary materials like scholarly articles and books about the subject. The paper used this method to determine how various forms of artificial intelligence could combat Covid 19. Among these were improvements to vaccines and medications and the ability to detect and identify infections, manage their remediation, keep track of individuals' contacts, predict mortality rates, and calculate them. Additionally, the paper explored how AI technology has affected disease prevention efforts and how further study of AI could benefit healthcare. After observing the effectiveness of AI technologies in halting the spread of the Covid 19 pandemic, the authors concluded that more study was required to fully grasp the long-term effects of AI technology in healthcare and its ethical implications.

show abstract

Trust and robotics: a multi-staged decision-making approach to robots in community

2023

View full text Add to dashboard Cite

AI and Data Use: Surveillance Technology and Community Disquiet in the Age of COVID-19

Cited by 9 publications

References 5 publications

Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review

Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review

The Role of Artificial Intelligence in Tackling Covid-19 (A Review)

Trust and robotics: a multi-staged decision-making approach to robots in community

Contact Info

Product

Resources

About