Tackling COVID-19 through responsible AI innovation: Five steps in the right direction

Leslie, David

doi:10.2139/ssrn.3652970

Cited by 38 publications

(31 citation statements)

References 164 publications

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“…During the covid-19 pandemic, demand for rapid response technological interventions might hinder responsible AI design and use. 37 38 In a living systematic review of over 100 covid-19 prediction models for diagnosis and prognosis, Wynants et al have found that owing to the pressure of rushed research, the proposed systems were at high risk of statistical bias, poorly reported, and overoptimistic. Up to this point, the authors have recommended that none of the models be used in medical practice.…”

Section: Equity Under Pressurementioning

confidence: 99%

Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?

Leslie

Mazumder

Peppin³

et al. 2021

BMJ

Self Cite

111

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Section: Equity Under Pressurementioning

confidence: 99%

Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?

Leslie

Mazumder

Peppin³

et al. 2021

BMJ

Self Cite

111

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show abstract

“…Additionally, and not inconsequentially, the normalization of remote working, at least for many service-based occupations, has brought with it a raft of new workplace surveillance to verify identities biometrically, record video meetings, and measure productivity more generally. Regardless of the immediate need for or reasonableness of any of these measures, surveillance studies scholars should easily be able to predict how the exceptional will become routine and how "mission creep" will push these capabilities into new formations of control (Kitchin 2020;Leslie 2020;Taylor et al 2020).…”

Section: Tracking During the Pandemic (And Beyond)mentioning

confidence: 99%

Reckoning with COVID, Racial Violence, and the Perilous Pursuit of Transparency

Monahan

2021

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This essay reflects on the many upheavals of the past year and their implications for critical scholarship on surveillance. The COVID-19 pandemic, anti-science policies, radicalized white supremacists, police killings of people of color, and the resurgence of the racial justice movement all inflect surveillance practices in the contemporary moment. In particular, today’s polarized political landscape makes it difficult to condemn surveillance in the service of the public good, but irrespective of one’s goals or intentions, the embrace of transparency carries its own risks. Transparency, and scientific vision more broadly, is an extension of the Enlightenment and subsequent scientific revolution, which from the start sought to advance knowledge and consolidate white power through the violent subjugation of nature, women, and racial minorities. One fundamental risk of valorizing transparency is that doing so occludes the ways that relations of domination are indelibly encoded into surveillance systems and practices. Given this, I argue that the project of decolonizing surveillance inquiry should now be our primary focus as a field.

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“…The spread of epidemics like COVID-19 can be modeled for its contagion in GIS using techniques such as proximity analysis, spatial aggregation, interpolation, and regression (Auchincloss et al 2012;Leslie 2020). During the current pandemic of COVID-19, once the health GIS is setup, authorities can identify the pandemic clusters, i.e., the spatial distributions of COVID-19 cases to evaluate its incidence and prevalence in areas that are not infected yet with this disease.…”

Section: Advantages Of Health Gis Portal Mapping Of Pandemic Hotspotsmentioning

confidence: 99%

National Health-GIS Portal-A Conceptual Framework for Effective Epidemic Management and Control in India

Ranga¹,

Pani²,

Kanga³

et al. 2020

Preprint

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This short note proposes a national Geographic Information System (GIS) - based health infrastructure to deal with epidemics and pandemics. Currently, there is no pan-India health infrastructure available that can compile, update, and report the spread of epidemic diseases. It not only curtails the opportunity of finding the real-time data on the spatial distribution of a disease but prevents one to inquire into the causes of the disease through epidemiological analysis. The proposed infrastructure in this study is a pan-India one and can broadly be divided into two parts, hotspot mapping and accessibility to services. In the first part, hospitals are proposed to act as nodes of data collection, sending data to a national GIS portal. This portal shall have the capabilities of plotting the data using map rendering services such as Google and Bing Maps. This way, hotspots can be visualized in no time, benefitting the government and common citizenry alike. The second part deals with the accessibility of citizenry to a wide range of services, i.e., healthcare services, grocery outlets, emergency services, baby food, and many other essential services of the day to day life. In order to implement this, we propose that the government need to enforce a mandatory submission of locational coordinates of all Goods and Services Tax (GST) enrolled service providers. Once the coordinates are submitted, the government can effectively control the opening and closing of services and inform the citizenry at the same time. The proposed infrastructure is going to help deal with the extraordinary situations during epidemic and pandemics similar to what the world is currently facing in the form of Corona Virus Disease 2019 (COVID-19). Furthermore, the infrastructure can be scaled up or down as per the spread of a disease. The health-GIS platform proposed in this concept paper, shall help India in controlling and managing the epidemic more efficiently.

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Tackling COVID-19 through responsible AI innovation: Five steps in the right direction

Cited by 38 publications

References 164 publications

Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?

Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?

Reckoning with COVID, Racial Violence, and the Perilous Pursuit of Transparency

National Health-GIS Portal-A Conceptual Framework for Effective Epidemic Management and Control in India

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