Ethical Decision in Software Development: How Safe Are Self Driving Cars

This presentation discusses the ethical decision-making process in software development for self driving cars. It explores the principles of ethical practice in the information technology and business sectors, regulatory obligations in an IT environment, and basic problem-solving and decision-making skills. The presentation also provides recommendations for ensuring the safety and reliability of autonomous vehicles.

ETHICAL DECISION IN
SOFTWARE DEVELOPMENT: HOW
SAFE ARE SELF DRIVING CAR

TABLE OF CONTENTS
• Title
• Introduction
• Principles of ethical practice to the information
technology and business sectors
• Regulatory obligations relating to an IT environment
• Basic problem solving and decision- making skills
• Conclusion
• Recommendations
• References

INTRODUCTION
• Self driving is referred as the trans disciplinary area that raised ethical issues and
created misconceptions regarding its feasibility and viability for the longer run.
• This type of driving is carried out when the driving is done automatically without
the presence of any human.
• It makes the passengers reach the destination by audio and using the technologies
through IoT (Internet of Things).
• Ethical practices are those practices that posed as an obstacle in development
programs like software.

PRINCIPLES OF ETHICAL PRACTICE TO THE
INFORMATION TECHNOLOGY AND BUSINESS
SECTORS
• This driverless cars and its future has become an important topic in gaining
knowledge about the utility of software that ensures safety and protection of
humans.
• This concept has gained momentum by interferences from several companies such
as Google’s parent company Waymo, Tesla, GM and more to conquer the
automation world by storm.
• However, there are several incidents that reflected upon its incapacities where the
individuals travelling were hurt and in few cases they died.
• For instance, Uber were test driving and was met with an accident where the
woman was killed and later put questions on its feasibility.

CONTINUE
• Furthermore, the ethical considerations involved in this type of vehicles cannot be
undermined and must be made understandable that infers on the algorithms and
designing aspects.
• It also highlights the discriminatory remarks regarding the overall usage of such
critical technology to protect the data and information related to the users’.
• There is also an analysis of these cars where the time reductions is at higher levels
but also led to risks that meet the technical issues.
• Moreover, it has definitely led to proper shift of responsibility where no conflicts
are recorded and the public are given proper training to protect themselves in any
situational crisis.

REGULATORY OBLIGATIONS RELATING TO AN IT
ENVIRONMENT
• Laws and legislation has been a
pivotal part in the development of
autonomous driving vehicles and
should be practiced to test its
feasibility, reliability and viability.
• There is responsibility for insurance
or mitigating the risks to slow down
the developmental phases in the
data analytics.
• Nevertheless, the focus is on using
the set of guidelines in more
profound manner and has led to
more customer awareness and data
minimisation.

CONTINUE
• In order to make detailed perspectives while making any concrete steps towards the
promotion of such driverless cars, it is significant to understand that the issues must
be addressed to maintain safety and health of the passengers.
• The issues are that the passengers are unaware about the rights and responsibilities
and led to implementation of a calculated action plan to make the detecting
obstacles.
• Other ethical challenges include lack of execution of laws and guidelines regarding
the reduction of pollution levels or proper functioning of traffic rules.

BASIC PROBLEM SOLVING AND DECISION-MAKING
SKILLS
• The one of the major issues of programming self driving car is to enhancement in
scenario of road accidents.
• The key issues that need to be focused on formulate an ethical framework for
sound morale reasoning in terms to self driving car and other autonomous vehicles
to program with risky situation and unavoidable accidents.
• The programming of self driving car is ethical issue that given the rapid
development of technical advancement.
• Currently, self driving car have the sophisticated sensing abilities that can make
differentiate between pedestrians from the other subjects such as lamp cost and
other road signs.

CONCLUSION
• It has been summarised that self driving cars is a blessing and led to developmental
stages in the automation world.
• Moreover, it has also posed threats to the human’s life by putting them into danger.
• There are both advantages and disadvantages of using this technological
advancement of Artificial Intelligence (AI) in the form of driverless cars that
brought the ethical considerations while making software development to give
more convenience and ease to perform tasks.
• It has also shed light on the existing competition which led to many companies like
Google, Uber, Tesla etc. to try and design such cars to make the individuals’ life
more accessible.
• Moreover, the ethical decisions are crucial in playing a contributing factor for the
software development for the autonomous vehicles.
• This described about the regulatory obligations in the form of acts, laws and
legislation that has put a control and making the companies more responsible while
testing and designing the elements of such cars.

RECOMMENDATIONS
• The focus must be to promote its manufacturing and developing a more robust
framework where the smart cars are built in a bounding box.
• This consists of a vehicle detector with having two longitudes and two latitudes
and has the ability to detect the vehicles either in isolated place or any other
location.
• This helps in installing a grid to know about the images captured by the installed
cameras to give more clear instructions and also the focus is on using the vehicles
despite the geographical restrictions or any other climatic conditions.
• Next step is to make a flawless programming to give realistic based algorithms to
protect from any uncertain issues occurred while driving without any driver.
• such AVC (Autonomous Vehicle Control).

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