Tracing app technology: An ethical review in the COVID-19 era and
directions for post-COVID-19
- URL: http://arxiv.org/abs/2108.12673v4
- Date: Sat, 23 Oct 2021 17:05:12 GMT
- Title: Tracing app technology: An ethical review in the COVID-19 era and
directions for post-COVID-19
- Authors: Saleh Afroogh, Amir Esmalian, Ali Mostafavi, Ali Akbari, Kambiz
Rasoulkhani, Shahriar Esmaeili, Ehsan Hajiramezanali
- Abstract summary: The rapid and extensive use of this technology during the COVID-19 pandemic raised several ethical concerns for the post-COVID-19 era.
The results suggest there are seven essential ethical considerations, namely privacy, security, acceptability, government surveillance, transparency, justice, and voluntariness.
- Score: 8.78328668696775
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We conducted a systematic literature review on the ethical considerations of
the use of contact tracing app technology, which was extensively implemented
during the COVID-19 pandemic. The rapid and extensive use of this technology
during the COVID-19 pandemic, while benefiting the public well-being by
providing information about people's mobility and movements to control the
spread of the virus, raised several ethical concerns for the post-COVID-19 era.
To investigate these concerns for the post-pandemic situation and provide
direction for future events, we analyzed the current ethical frameworks,
research, and case studies about the ethical usage of tracing app technology.
The results suggest there are seven essential ethical considerations, namely
privacy, security, acceptability, government surveillance, transparency,
justice, and voluntariness in the ethical use of contact tracing technology. In
this paper, we explain and discuss these considerations and how they are needed
for the ethical usage of this technology. The findings also highlight the
importance of developing integrated guidelines and frameworks for
implementation of such technology in the post-COVID-19 world.
Related papers
- Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models [53.316174782223115]
This whitepaper offers an overview of the ethical considerations surrounding research into or with large language models (LLMs)
As LLMs become more integrated into widely used applications, their societal impact increases, bringing important ethical questions to the forefront.
arXiv Detail & Related papers (2024-10-17T18:36:02Z) - On the Privacy of National Contact Tracing COVID-19 Applications: The
Coronav\'irus-SUS Case [0.35936725188956503]
We analyze the privacy features in national contact tracing COVID-19 applications considering their intrinsic characteristics.
As we believe contact tracing will continue to be employed as part of the strategy for the current and potential future pandemics, we present key research challenges.
arXiv Detail & Related papers (2021-08-02T14:15:16Z) - The evolving ecosystem of COVID-19 contact tracing applications [0.0]
Since the outbreak of the novel coronavirus, COVID-19, there has been increased interest in the use of digital contact tracing.
Recent studies have predominantly focused on the formation of guidelines for ethical contact tracing.
This study examines 152 contact tracing applications and assesses the extent to which they comply with existing guidelines for ethical contact tracing.
arXiv Detail & Related papers (2021-03-19T01:38:19Z) - COVID-19 Digital Contact Tracing Applications and Techniques: A Review
Post Initial Deployments [2.05040847923906]
coronavirus disease 2019 (COVID-19) is a severe global pandemic that has claimed millions of lives and continues to overwhelm public health systems.
To increase the effectiveness of contact tracing, countries across the globe are leveraging advancements in mobile technology and Internet of Things.
arXiv Detail & Related papers (2021-02-25T10:18:40Z) - A Survey on Applications of Artificial Intelligence in Fighting Against
COVID-19 [75.84689958489724]
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide, leading to a global outbreak.
As a powerful tool against COVID-19, artificial intelligence (AI) technologies are widely used in combating this pandemic.
This survey presents medical and AI researchers with a comprehensive view of the existing and potential applications of AI technology in combating COVID-19.
arXiv Detail & Related papers (2020-07-04T22:48:15Z) - COVI White Paper [67.04578448931741]
Contact tracing is an essential tool to change the course of the Covid-19 pandemic.
We present an overview of the rationale, design, ethical considerations and privacy strategy of COVI,' a Covid-19 public peer-to-peer contact tracing and risk awareness mobile application developed in Canada.
arXiv Detail & Related papers (2020-05-18T07:40:49Z) - When Wireless Communication Faces COVID-19: Combating the Pandemic and
Saving the Economy [93.08344893433639]
The year 2020 is experiencing a global health and economic crisis due to the COVID-19 pandemic.
Countries across the world are using digital technologies to fight this global crisis.
We show how these technologies are helping to combat this pandemic, including monitoring of the virus spread.
We discuss the challenges faced by wireless technologies, including privacy, security, and misinformation.
arXiv Detail & Related papers (2020-05-12T12:27:29Z) - User Concerns & Tradeoffs in Technology-Facilitated Contact Tracing [17.24819368194477]
The COVID19 pandemic spread across the world in late 2019 and early 2020.
technologists joined forces with public health officials to develop apps to support COVID19 response.
This paper details the potential inputs to a user's decision to adopt a COVID19 contact-tracing app or other technology.
arXiv Detail & Related papers (2020-04-28T00:25:03Z) - ICT Intervention in the Containment of the Pandemic Spread of COVID-19:
An Exploratory Study [0.0]
Review study revealed ICT interventions that include websites and dashboards, mobile applications, robotics and drones, artificial intelligence (AI), data analytic, wearable and sensor technology, social media and learning tools, and interactive voice response (IVR)
Focus Group Discussion (FGD) was replicated with 22 participants and explored the possible strengths, weaknesses, opportunities, and threats (SWOT) of deploying such technologies to fight against the COVID-19 pandemic.
arXiv Detail & Related papers (2020-04-21T10:34:14Z) - A Study of Knowledge Sharing related to Covid-19 Pandemic in Stack
Overflow [69.5231754305538]
Study of 464 Stack Overflow questions posted mainly in February and March 2020 and leveraging the power of text mining.
Findings reveal that indeed this global crisis sparked off an intense and increasing activity in Stack Overflow with most post topics reflecting a strong interest on the analysis of Covid-19 data.
arXiv Detail & Related papers (2020-04-18T08:19:46Z) - Mapping the Landscape of Artificial Intelligence Applications against
COVID-19 [59.30734371401316]
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization.
We present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence to tackle many aspects of the COVID-19 crisis.
arXiv Detail & Related papers (2020-03-25T12:30:33Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.