Ethical Analysis in Autonomous Vehicles

The assignment content revolves around ethical analysis of driverless vehicles, focusing on three key issues: liability, maintaining confidentiality, and gathering data quickly. The stakeholders identified for each issue are the manufacturing companies, community, and programmers, respectively. Relevant ethical views for these stakeholders include deontology, relativism, and justice ethics. The personal values of fairness, perfection, and self-actualization influence the closest fit to the list of 7 'ethical principles', with deontology and consequentialism being the most suitable.

Ethical Analysis 1
Project Management
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Ethical Analysis 2
a) Identify 3 ethical issues that may be associated with the situation as described in the
article.
 Gathering and processing the necessary data quick enough to avoid dangerous
circumstances.
 Liability is another ethical issues, who is liable when an autonomous car crashes? The
driver? Telsa or the programmers? –
 The technology in the driverless vehicles have errors and they are not immune to the
failure of the system.
 The ethical issue which would arise surrounding the liability is assigning fault when the
autonomous car crashes.
 Another ethical issue is the maintaining confidentiality.
 Individuals do not have confident of the driverless cars,
 They may not trust it with their life as they are been driven by machine and it could have
faults.
 Another ethical issue facing the driverless vehicle is the issue of outsourcing the
production of the various components.
 The organization making the driverless cars could have problems when they are
outsourcing production of various components to make these cars.
a) For the 3 ethical issues nominated, identify the key stakeholders.
 Liability ethical issues: The stakeholder who is held responsible is the manufacturing
companies.
 If the software misinterprets a worn down sign the blame falls to the manufacturing
company.
 The autonomous vehicle has become more prevalent system for the responsibility.
Maintaining confidentiality: Community are the main stakeholders.
They do not have confident in the driverless vehicles as they are prone to risk as system
can failure.
 The ethical issue of gathering and processing of the data quicker; the stakeholder is the
programmer.
 These individuals are responsible to carry out all the ethical scenarios and prevent
occurrence of a situation.
b) For each stakeholder group identified, select what you believe is the relevant ethical
view
 Manufacturing company: the ethical principle they would take is deontology
 On this company the right and the wrong is dependent on meeting their duty and the
independent of the consequences.
 The future liability of the self-driven software rested on the company.

Ethical Analysis 3
 Programmer: relativism. These individuals believed that there is no single ethical
truth
 Each and every aspect they undertake is contingency based
 Maintaining confidentiality: justice ethics is the ethical view in regard to this
stakeholder
 The duty to treat all the parties fairly in regards to the cost and safety is considered.
c) For the 3 issues you have outlined assess your personal values and then, for each
issue, determine your own closest fit to the list of 7 ‘ethical principles’?
 My personal values are as follow;
 Fairness: This closely apply to the one for liability.
 The liability is subjected to the manufacturing organization and the fault could be the
programmer, or the driver.
 Perfection is my second value on maintain confidentiality.
 I like being perfect is each task I do to make sure i do everything well.
 Self-actualization; this is closest to gathering each information for quick decision
making.
 The closest ethical principles that fit in my list are;
 Deontology and consequentialism
Bibliography

Ethical Analysis 4
Bonnefon, J.F., Shariff, A. and Rahwan, I., 2016. The social dilemma of autonomous vehicles.
Science, 352(6293), pp.1573-1576.
Hansson, S., 2013. The ethics of risk: Ethical analysis in an uncertain world. Springer.
Hevelke, A. and Nida-Rümelin, J., 2015. Responsibility for crashes of autonomous vehicles: an
ethical analysis. Science and engineering ethics, 21(3), pp.619-630.
McCormick, S.E., 2016. Transcendence: An Ethical Analysis of Enhancement Technologies
(Doctoral dissertation, Cleveland State University).
Menze, M. and Geiger, A., 2015. Object scene flow for autonomous vehicles. In Proceedings of
the IEEE Conference on Computer Vision and Pattern Recognition (pp. 3061-3070).