Topics in IT Ethics: Three Distinct Perspectives of Applied Ethics

This paper discusses the ethical issues related to emotion sensing face recognition technology from three distinct perspectives of applied ethics: professional ethics, philosophical ethics, and sociological ethics. The paper highlights the importance of maintaining ethical values in the ICT industry and the impact of the technology on society. The paper also discusses the challenges faced by organisations in implementing the technology and the need for regular updates to avoid data processing and storing difficulties.

Running head: TOPICS IN IT ETHICS
Topics in IT ethics
Three Distinct Perspectives of Applied Ethics
Name of the Student
Name of the University
Author Note

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Introduction
The expanding trend of new advancements in the ICT industry created the evolvement of
the emotion sensing face recognition technology which has taken part in every type of social
activities and also for security purposes. The rapid acceptance of this technology is seen in
various types of industries. The technology of biometric face recognition technology is
highlighted in the last few years due to its safe legal issues and also for its acceptance worldwide.
The face recognition technology is a type of biometric systems having many unique features with
both advantages and disadvantages as compared with the other biometric systems (Bhatia, 2013).
This application of the face detection technology and its related ethical issues are analyzed in this
paper as per the ICT policies. The paper would be presented with the description of chief
viewpoints of applied ethics. This paper includes professional ethics perspective, philosophical
ethics perspective and the sociological ethics perspective (Al-Saggaf, Burmeister & Schwartz,
2017).
Professional ethics perspective
In this unit of the paper, the professional ethics of the applied ethics are scrutinised. This
perspective accepts standards of human behaviour and gives out the guiding moralities. The
types of professional ethics which are accepted by all the global ICT establishments to guide
their employers in completing their work by maintaining the ethical values (Durkheim, 2013). It
is not only about the proposal but it also emphasis on the acceptance and maintenance of those
guidelines with uninterrupted awareness of the needs of the workplaces. The progress in ICT
increased the existence of large volumes of structured and unstructured data and management of
those data along with all the other types of data is a real challenge for all the ICT organisations

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and it is also observed that the sectors of a particular organisation which are not following those
guidelines are subjected to major financial or other losses. The systems of the organisation can
be affected by posting improper content on social media platforms can lead to proceedings and
business loss. A major recent ethical dilemma is the application of the face recognition
technology in various types of platforms having both positive and negative issues regarding its
effectiveness (Wright, 2014).
It can be observed that the extensive use of the technology often leads to many kinds of
security issues and personal or organisational losses like the difficulties in processing and storing
the data for future usage then the security issues takes place it has to be on a secured system and
a secured environment as misleading can cause many difficulties. The emotion sensing face
recognition technology is one of the most widely spread ethical issues in ICT industry in 2018,
people from all over the world get directly impacted by it. Tim Cahill the CEO and co-founder
of an organisation named Inferno were one of the first of its kind who introduced the concept of
this technology as wanted to incorporate a sense of feeling in any smart devices with the feeling
of understanding and reacting to situations according to the requirements (McDuff, 2013). They
wanted to implement a profound understanding into the unfiltered client’s emotional response to
digital contents, they thought that the application will be helpful in several types of activities in
the gaming industry but there too many security issues associated with it. The ethical
professionals of the organisation made better decisions after that and executed better guidelines
of ethics that are helpful to an understanding the emotional sensing of face recognition
technology as it is directly related to the protection of their clients and helpful in maintaining a
long-term relationship with them.

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Philosophical Ethics Perspectives
This is another type of applied which raises philosophical questions such as being right or
wrong according to the human ethics. The philosophical ethics aims to deal with systemising,
protecting and commending perceptions of correct or incorrect (Larrabee, 2016). To withstand in
the ever-competitive business world, every organisation adapting to the new technology needs to
follow certain philosophies through which they can understand the value of the new technology
and take all the necessary steps as required. Being ethically accurate is absolutely crucial when it
comes to a philosophical comportment. Every person is expected to be dedicated to their moral
values while performing their tasks. The philosophical ethics suggests that an individual should
be ethically true to their occupation as well as in their personal life. If the work life of an
employee does not allow that person to be ethically justified towards the rest of their life, then
this implication is also not acceptable according to the philosophical ethics. But this do not
authenticate the fact that if that employee fails to validate those ethics towards their
philosophical life (DesJardins, 2014).
Highlighting about the philosophical ethics regarding this incident that had occurred
globally regarding the issues in emotional sensing face recognition there are issues such as
misinterpretation of personal data, wrongly sensing environments and acting on the basis of
wrong understandings which play a very vital role. The viewpoint of the authorized employee in
control of the entire course of the emotion sensing face recognition technology is to protect any
type of confidential data of any individual or organization who are responsible for maintaining
all these perspectives that would be assessed by the philosophical morals. The optimistic and
mostly accepted feature of the facial recognition system is its feature in being a robust face

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recognition prototype built on the ground of mapping of behavioural features with the
physiological biometric physiognomies. The various types of physiological features of the
human face are taken under consideration with relevance to various expressions such as
happiness, sadness or any other type of feelings related with the base matching template of the
system. The philosophical ethics perspectives should be considered and evaluated very carefully
to improve the effectiveness of the technology in the system (Eden, Jirotka & Stahl, 2013).
Sociological Ethics Perspectives
In this unit of the document, the sociological perspectives are discussed, the different
types of sociological perspectives are normative ethics, meta-ethics, applied ethics and
descriptive ethics (Zhou & Piramuthu, 2013). The normative ethics is a category of ethical ways
which states every individual to follow and preserve an ethical equilibrium; meta-ethics gives an
idea about the authentic ethical concepts behind a behavior of a person. This type of applied
ethics are helpful in evaluating the strategies and plans for making effective decisions and
defining the professional goals in such a way so that it would benefit the organisation and help
them grow in spite of the market rivalries. The stakeholder of the organisations establishes
the ethical codes and all the employers are bound to obey those rules and regulations for
maintaining professional growth, accomplishing organizational goals, maintaining the reliability
of the profession by defining the expected behaviour of the employers. The policies should be
implemented in such a way so that it protects the welfare of subjects and the fulfil client
requirements (Greenwood, 2013).
There are different types of the sociological perspectives of the chosen technology such
as the choice of an individual regarding the resolution of the of the image captured in the face

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detection system is a type of limitation of this type of technology as the original size of the photo
is resized to a significant extent causing a direct impact on the society. Issues such as false
recognitions are a very common issue of this topic it may lead to many complexities in any
environment. Also, the huge investments required for installing the mechanism into any system
also have an impact on the society and hiring experienced professionals are required for
maintaining the efficiency of the system using this feature is the other major issue of this topic.
According to (Hofmann, 2013) there are many other complex issues such as any changes
in the face like the growth of facial hairs, wearing different spectacles or sunglasses may block
or delays the validation process which makes a large section of the society very much cautious
and choosy while deciding to accept and install this technology. To remove the social issues, the
databases of the systems should be updated on a regular basis to avoid difficulties like data
storing and data processing. Maintaining the privacy is the biggest issue that the society has with
the application of the human sensing face detection technology as users of the system can
produce a biometric framework of all the social media photos, which can be used in mass
investigation procedure and identification purposes. Biometric data security is another issue
regarding the acceptance of human sensing face detection technology in the society as most
people are in secured about its effectiveness and ethical values due to the increasing amount of
issue created by it on a global basis (Castillo, 2016).
Conclusion
Thus, it can be concluded that emotion sensing face recognition technology is the
outcome of the growths in ICT industry have different kinds of impacts on the users worldwide,

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and the necessity for smearing all the three different types of distinct perspectives so that the
corporations can deal with all the ethical issues which they generally face from different sections
of the society. The different types of perspectives provide a very significant part in manipulating
the individual behaviours within a society.

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