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AI Surveillance during Pandemics

Ethical Implementation Imperatives

Bibliographic Data

ID20337750
AuthorsCarmel Shachar (0000-0002-4517-6363), Sara Gerke (0000-0002-5718-3982), Eli Y Adashi (0000-0001-7730-1192)
Year2020
Volume50
Issue3
Pages18-21
Publication date2020-05-01
Open AccessYes
TypeARTICLE
VenueThe Hastings Center Report (JOURNAL)
Journal identifiersISSN: 0093-0334 • E-ISSN: 1552-146X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/hast.1125
PMID32596887
OpenAlexW3037190544
LanguageEN
Citations received7
References cited2

Artificial intelligence surveillance can be used to diagnose individual cases, track the spread of Covid‐19, and help provide care. The use of AI for surveillance purposes (such as detecting new Covid‐19 cases and gathering data from healthy and ill individuals) in a pandemic raises multiple concerns ranging from privacy to discrimination to access to care. Luckily, there exist several frameworks that can help guide stakeholders, especially physicians but also AI developers and public health officials, as they navigate these treacherous shoals. While these frameworks were not explicitly designed for AI surveillance during a pandemic, they can be adapted to help address concerns regarding privacy, human rights, and due process and equality. In a time where the rapid implementation of all tools available is critical to ending a pandemic, physicians, public health officials, and technology companies should understand the criteria for the ethical implementation of AI surveillance

Business · Computer security · Coronavirus disease 2019 (COVID-19) · Environmental health · Health care · Health Surveillance · Internet privacy · Pandemic · Political science · Process (computing) · Public health · Public health surveillance · Public relations · Computer Science · COVID-19 and healthcare impacts · COVID-19 Digital Contact Tracing · Global Security and Public Health · Law · Medicine · Nursing

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    Bernd W Wirtz, Paul F Langer et al.•International Journal of Public…•2021

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Citations per year1.4
Citation span2021 - 2025 (5)
Highly citedNo

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Open DOIOpen Access
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