Legal Implications of Artificial Intelligence: A Discussion Paper

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Legal implication regarding Artificial Intelligence: A Discussion Paper
For a couple of decades, we humans are working on artificial intelligence. We have been
experimenting with automated decision making for quite a while now and we can also say that
we have made some significant progress in the field. Many industry leaders have achieved so
many things in the field of artificial intelligence which were once just dreams (Bostrom, 2016).
We used AI’s power in the field of medicine and games, we have implemented AI’s capabilities
in transportation and weather forecasting. to put it in general terms, all this technological
advancement has made a significant amount of people happy but we often forget that everything
which is good for humans also has some side effects which may seem non-threating at first but
can pose a real threat at a certain point in time. All the glory and good qualities of AI is
protecting its bad things. These features or consequences is on our blind side and we always
neglect them even though when they are in front of us (Mason, 2017).
Along with AI’s progress, people concerns are also increasing rapidly because they are afraid to
see that computers are making decisions for them. A. I or artificial Intelligence requires a large
number of data sets in order to find the best possible solution but the laws implicating A.I are
very flexible which allows the government and big corporations to play hard and loose with
these norms without addressing the risk of A.I (Hamet, 2017). All the technology involving
artificial intelligence is raising legal and ethical concerns which can cloud the judgment of
people for all future technology if not encountered properly (Russel, et.al 2015). Various
questions arise in reference of A.I like how laws will adapt to progressing A.I technology or how
will the law protect the people which are harmed by this vast technology in a world where we
cannot convict a machine for any crime? These questions need to be answered as A.I has both
potential and power to challenge various laws. We also have to keep in mind that with the law

we also have to find a way to shape policies according to changing the state of A.I. We cannot
just go on with traditional rules when the world is changing at this rate. Policies will be
challenged whether we like it or not the same thing to do is to control the situation before it
controls us (Lin, et.al 2017).
But our world is not perfect, nothing can happen overnight. So, we have to make sure that until
the policies and laws are in the right place and order we have to make sure the people or
organizations who are working in favour of A.I are bearing the responsibility until the power of
A.I law is active (Etzioni, 2017). No one wants a world where machines are governing humans
instead of the other way around. Overall, the point that I am trying to make is that we have to
modernise the law as the world is modernising too (Dignum, 2018).
To work in an efficient way artificial intelligence requires a large number of data set because in
order to produce most accurate result the test case data must be from a large set so that the
eliminations can be made with precision (Cath, 2018). We often forget, during developing of any
exciting technology we ignore the cost that it will take from us and in Artificial intelligence too
we ignore the fact that we have to give up our personal information to various discrete sources
just to have a taste of efficiency (Baum, 2017). I am not saying A.I or its working is bad but I am
just concern about the exploitation of an individual’s privacy, because we are not ready yet, we
still need to work on various things before jumping to something so big as Artificial intelligence
(Helbing, et.al 2019).
Various countries government is also getting involved in the process of using A.I as a tool to
help the country but they are exploiting various other aspects of their people just for the sake of
the safety of the efficiency. we have read various cases where whistle-blowers are proving that
government is using modern days technology to keep tabs in their citizen (Gurkaynak, et.al

2016). Not only that they are using A.I to check if a person is on verge of doing anything wrong
or not. They are reading patterns and determining paths to check if a person’s activities lead up
to something suspicious or not. They are trying to stop a person before he or she committed a
crime. This is the reason why people don’t fully trust computer because they are scared of their
power and they are worried that if this kind of process kept on going when the day is not far
where we would have to let the machines make decisions for us. We need to keep a check on the
progress so that we don’t get lost in the day and prevent something bad before it’s too late
(Scherer, 2015).

Written Reflection
During this cousre I learned about a lot of things which helped me in gaining a deeper
knowledge and appreciation for the subject. I understood the importance of acdemic skills amd
how acadesmic skills help anyone with their problem outcomes. In week 1 I undtood the what
this subject is really about and its concepts are dervied and how they can be used on real life
problems. I also learnt about using theoretical considerations to find the best solution for any
given outcome. Afterward on, I discover out how to use conversation resilience to our advantage
and make likely presumptions, and so on. Peer review also played a significant role in the above
topic. I discovered how about peer review, when and why. I had to describe a discussion on my
point of view on the legal implication of Artificial Intelligence on the world. My university
coursework helped me to learn about academic skills and its development. Throughout
the semester, I gain knowledge about potential of using deconstruction to find best
possible solution to academic problems.

References
Mason, R. O. (2017). Four ethical issues of the information age. In Computer Ethics (pp. 41-48).
Routledge.
Bostrom, N. (2016). Fundamental issues of artificial intelligence (Vol. 376). V. C. Müller (Ed.).
Berlin: Springer.
Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism, 69, S36-S40.
Russell, S., Dewey, D., & Tegmark, M. (2015). Research priorities for robust and beneficial
artificial intelligence. Ai Magazine, 36(4), 105-114.
Lin, P., Abney, K., & Jenkins, R. (Eds.). (2017). Robot Ethics 2.0: From Autonomous Cars to
Artificial Intelligence. Oxford University Press.
Etzioni, A., & Etzioni, O. (2017). Incorporating ethics into artificial intelligence. The Journal of
Ethics, 21(4), 403-418.
Dignum, V. (2018). Ethics in artificial intelligence: introduction to the special issue.
Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial intelligence
and the ‘good society’: the US, EU, and UK approach. Science and engineering ethics, 24(2),
505-528.
Baum, S. D. (2017). Social choice ethics in artificial intelligence. AI & SOCIETY, 1-12.
Helbing, D., Frey, B. S., Gigerenzer, G., Hafen, E., Hagner, M., Hofstetter, Y., ... & Zwitter, A.
(2019). Will democracy survive big data and artificial intelligence?. In Towards Digital
Enlightenment (pp. 73-98). Springer, Cham.
Gurkaynak, G., Yilmaz, I., & Haksever, G. (2016). Stifling artificial intelligence: Human
perils. Computer Law & Security Review, 32(5), 749-758.
Scherer, M. U. (2015). Regulating artificial intelligence systems: Risks, challenges,
competencies, and strategies. Harv. JL & Tech., 29, 353.