Artificial Intelligence, Privacy, and Security: Ethical Considerations in the COVID-19 Pandemic

This report explores the ethical implications of using artificial intelligence (AI) for data collection and analysis during the COVID-19 pandemic. It examines the tension between privacy and security, analyzing the ethical frameworks of utilitarianism, deontology, virtue theory, and contract theory. The report highlights the potential benefits of AI in pandemic response while acknowledging the risks associated with data misuse and privacy violations. It emphasizes the need for ethical guidelines and regulatory frameworks to ensure responsible AI deployment.

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Contents
Overview.........................................................................................................................................1
Task 1..............................................................................................................................................2
Task 2..............................................................................................................................................3
Task 2..............................................................................................................................................4
Utilitarianism theory....................................................................................................................4
Deontology theory.......................................................................................................................4
Virtue theory................................................................................................................................5
Contract theory............................................................................................................................6
Conclusion......................................................................................................................................7
References........................................................................................................................................8
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Overview
As the world is continuing to deal with the unprotected challenge that has been provided by
the pandemic named as covid-19 one of the most significant factor that has emerged over the
pandemic includes the artificial intelligence. There are various arguments that could be created
around the topic which includes the artificial intelligence covid-19 and the tension between the
privacy and the security. There are some measures that technology has proven to be a step
ahead of humans while tracking of the covid-19 infection. It is identified by different kind of
tissues that are related to security as valence privacy of the users of needs to be understand
while using the artificial intelligence. it is considered that information sharing among medical
professionals is considered to be one of the most important characteristics and requirement
which needs to be considered so that they are able to act in the manner that is most beautiful
for the business organisation there are various unethical issues that are related to the use of
artificial intelligence and automated data mining which needs to be considered and to be
identified so as to track them on the possible circumstances.
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Task 1
Figure 1Mindmup Artificial intelligence and privacy and security issues
Source (Author, 2020)
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Task 2
it is identified that just a month ago the European Union outlined its new artificial intelligence
and governance strategy which are considered to be one of the most important strategies and
helps in advocating that are so pretty and data protection service to ensure that the quality and
ethical sourcing of the data are considered.it was identified that within weeks of WHO declaring
a pandemic on 11th march the organisation itself was reported to be having fivefold increase in
the cyberattacks on the system that is made by them. Here this is considered that there was an
increase of 150% in the attacks that are made on the healthcare systems and mid-January and
March. There was a series of various high profile incidents where the data breach and security
issues were faced (Hao, et. al., 2019). There are various national cyber security centre in the UK
which provided the assistance to the company where they made an announcement to change the
password of healthcare professionals and implement two factor authentication in the face of
rising password spraying attacks. It is considered that there are scale of this onslaught this needs
to have potential value for rapid accumulation and immensely welding the different volume of
the potential data and data of the patient's. This is considered that it would have been surprising
for the institution of the organisation to find itself on the back foot of the organisation which may
affect the functioning as well as the organisational performance. Hence it is identified that there
were various aggregation and the allegation that were found to be placed on the organisation for
the purpose of not providing are not fulfilling the requirements of security and the safety of the
data that are available on the server or on the net. This is considered that and China are there
were reportedly deploying thermal imaging cameras which could provide hundreds of images
and the temperature permanent which could help them to facial recognition and could also detect
the present risk of infection (Braun, et. al., 2018). The use of a is supported public monitoring
tools which was not limited to China but US companies by developing the software to analyse
the camera images taken in the public school stop furthermore this was identified that the data
and the geological information that was being identified was considered to be very problematic
This needs to be considered for the purpose of increasing the reliability in the organisation and to
develop a surveillance and data collection system. Therefore the problem arise related to the
identification and the storing of the data within the country.
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Task 2
Utilitarianism theory
The current report provides an empirical research into the evidence as well as the analysis to
illustrate the use of the conjunction between the artificial intelligence as well as the data security
and privacy factors which are related to the utilitarian reasons. By identifying the different
articles and the journals this can be considered that the consumers are using the tactic and the
explicit assets in the healthcare and the other areas which are regarded as utilitarian result. Here
it is identified that utilitarian’s can be adapted for the use of different applications and this needs
to be considered for the purpose of identifying the reason to be practically applicable. This has
been taken into account that the useful interest is increased by the international interest and
hands the knowledge needs to be expected to be effective. This can be considered that the use of
artificial intelligence in the healthcare sector so as to provide the different reports and analysis of
the human behaviour regarding the covid-19 pandemic would be used as an asset which can be e
very helpful for the business organisation and to generate a better result (Abouelmehdi, et. al.,
2017). There are various theories which are related to the use of artificial intelligence and its
effectiveness for the business and the consumers at the large. There are various utility that are
related to the artificial intelligence that are not limited to the healthcare sector but are also
applicable to the other industries where they can be used as a feature to identify the different
aspects of the business organisation as well as the aspects to be used for increasing the
performance. It is identified that the rapid spread of covid-19 worldwide and the use of AI
technologies have in as a tool which would help them to reduce the spread of the covid-19. At
the same time this was considered that digital privacy and the misuse of the personal data has
come to the forefront which needs to be considered by the business organisation so as to generate
a better return. Hence the use of utilitarian approach must be considered so that a better
understanding of the same could be done.
Deontology theory
it is identified that the deontological theory does not make any conclusion regarding the search
for the search related to the satisfaction of the practice for the use of the artificial intelligence
their privacy or data security concerns are based. This states that these are not against the
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innovation in the technology but I was considered with the issues related to the privacy and
discrimination or the security which are present in the business organisation of the data
collection process.it is identified the under should also be confident with the different social and
the issues which are related to the collection of the data are the information. Here it is taken into
account that different standards for people and privacy and the data security must be considered
so that they are able to become more understandable and prejudice about the different data
security and privacy related concerns. This has been taken into account that there are various
general principle of dealing with the other people which must be handle and must be sector 8
people on their own account. There are various forms of factors that needs to be considered
which includes the continuation and the evolution of the uncertainty about the spread of the
covid-19 which must be relatable and must be considered in the manner that it provides best
results. Relying on the artificial intelligence system to track the pandemic related rest must be
considered and must be taken into account them to develop and concerned council form to legal
Framework which helps in governing the technologies and contemplation (Singh, et. al., 2020).
Virtue theory
It is identified as a theory which helps in arguing about the Virtue theory, regulatory framework
and also helps in considering the different factors that are related to the application of the queries
related to the impact of the artificial intelligence on the security and the privacy of the users.
There are various that are made using the several characteristics of the virtue ethics this includes
enhancing the experience and complementary identification of the method that can be used as a
circumstances. There are various notes which must be considered and taken into account while
reconciling the literature where majority of the psychological contradiction must be is
considered. This good help them to identify the issues that are related to the use of artificial
intelligence. the asserted and the search approach that is related to the identification of the
different generosity related to the endemic includes issues related to the security and the privacy
of the users the recognition has been done by the different users where it has been considered as
a challenge the organisation for economic cooperation and development has realise the
recommendation for different policymakers which would help them to ensure that would help to
deploy and combat covid-19. The factors that are related to the assertion includes the identifying
of the different viewpoints that are related to the strong utilitarian produce. The section II of the
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paper provides the understanding about the different evolving theories which would help in
considering the factors that are related to the artificial intelligence and its security as well as
privacy features which needs to be considered at the time of working for reduction in the covid-
19 pandemic situation. Here it is identified that the virtue is established in the good oriented
political culture which needs to be focus on the privacy and the security of the people so that an
ethical consideration is reached. there are various observation which needs to be considered by
the virtual philosophy and in particular the hands and admiring and are wearing about the
different root cause and the major changes that are related to the opportunities of the business
organisation it is identified that there are various culture which needs to be considered a proof for
creation of the virtue theory. The issue would be that the online environment is considered to be
weak and is considered to be distracted and therefore no longer has to be a stable version. This
has been considered that artificial intelligence has various problems that are related to which
security as well as privacy features. This could be generated through an understanding where the
artificial intelligence robots that were made by the Facebook started talking to each other in their
own language where Facebook did not have any control over it hence this could be considered as
a very actionable situation which would make the business organisation get affected at a large
and problem on the organisation as a whole (Topol, 2019).
Contract theory
The contract theory is considered to be one of the most important theory which helps in
claiming that the members that are related to the healthcare sector needs to identify the
different factors that are related to the artificial intelligence and the problems that are related
to the business organisation. There are various to the security and privacy of the users of the
artificial intelligence with needs to be considered by users at the time of entering into the
contract these needs to be considered in the manner that they are able to generate a better
understanding the service can be used for 28 purpose and the laws should be maintained and
analysed in the manner that it provides a general city where the users in the country are able to
have best-in-class identification of the different aspects that are related to the. The laws that
are related to the privacy and security must be maintained so that while using the artificial
intelligence the data that has been gathered are captured by the artificial intelligence tool for
software is secured in the manner that it generates better performance. This would help the
users to maximise the performance and would also help them to attend a better understanding.
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This theory is related to the demands of the users where we should function in the manner that
they are able to distribute usage of personal data in several ways.
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Conclusion
From the above scenario it can be concluded that the use of artificial intelligence is becoming
one of the most important feature and resource for the business organisation as well as the
other industry which would help them to and not the fairness of different products and the
services. Here it is identified that the user believe that the advantage of having artificial
intelligence to collect the data and process the data is one of the most important teacher. This
would help the users to generate different process of identification which would help them to
maximize the performance and would also help them to plan registration in the most secured
manner. Also the last letter related to the security and privacy of the users must be considered
so that the users in the country are able to gain the advantage over the other business
organisation.
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References
Hao, M., Li, H., Luo, X., Xu, G., Yang, H., & Liu, S. (2019). Efficient and privacy-enhanced
federated learning for industrial artificial intelligence. IEEE Transactions on Industrial
Informatics, 16(10), 6532-6542.DOI: 10.1109/TII.2019.2945367.
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Braun, T., Fung, B. C., Iqbal, F., & Shah, B. (2018). Security and privacy challenges in smart
cities. Sustainable cities and society, 39, 499-507. DOI: 10.1016/j.scs.2018.02.039
Abouelmehdi, K., Beni-Hssane, A., Khaloufi, H., & Saadi, M. (2017). Big data security and
privacy in healthcare: A Review. Procedia Computer Science, 113, 73-80.
DOI: 10.1016/j.procs.2017.08.292.https://primo.csu.edu.au/view/action/uresolver.do?
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Singh, S. K., Rathore, S., & Park, J. H. (2020). Blockiotintelligence: A blockchain-enabled
intelligent IoT architecture with artificial intelligence. Future Generation Computer
Systems, 110, 721-743. https://primo.csu.edu.au/view/action/uresolver.do?
operation=resolveService&package_service_id=5277283650002357&institutionId=2357
&customerId=2350. DOI: 10.1016/j.future.2019.09.002
Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial
intelligence. Nature medicine, 25(1), 44-56.
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