University English Course: AI and Crime Prevention Analysis

This assignment analyzes David Tuffley's article, "AI can help in crime prevention, but we still need a human in charge." The analysis focuses on the author's arguments regarding the use of artificial intelligence (AI) in crime prevention, particularly through hyper-surveillance and predictive policing. The student's review highlights both the potential benefits, such as increased police capabilities and reduced crime rates, and the potential drawbacks, including limitations on individual freedoms and the need for skilled human oversight. The assignment references the theory of utilitarianism and discusses examples like the 9/11 incident and the Tokyo 2020 Olympics to illustrate the application of AI in enhancing security. It also acknowledges counterarguments, emphasizing the importance of responsible implementation and the potential for misuse of technology. The student uses inductive logic to show that the technological aspects must always be at the subordinate level of the human beings. The references include Allen & Chan (2017), Dilek, Çakır, & Aydın (2015), Osoba & Welser (2017) and Tuffley (2018).

Running head: ENGLISH
English
Name of the Student
Name of the University
Author Note

1ENGLISH
Analysis of AI can help in crime prevention, but we still need a human in charge
The following is the review of the article named AI can help in crime prevention, but we
still need a human in charge written and published by David Tuffley (Tuffley, 2018). The
author in this article has stressed on the usage of the artificial intelligence (AI) in the recent times
and how it will help the technology to control the movements of the human beings. There are
definitely both positive and negative sides of this aspect.
The author believes this system will be able to track the movements of the people, have
an idea on whom they meet and activities they do. The ultimate cause of this system is to
improve the capabilities of the police forces and enabling them to be sharper in their works. The
author is of the opinion that this process will definitely help to reduce the rate of crimes in
different countries and their respective societies (Tuffley, 2018). Still, I want to mention in this
context that the government might impose some limitations on the overall movements of
common people, even if it is an emergency case (Osoba & Welser, 2017). The theory of the
utilitarianism will be crucial in this scenario. If the implementation of the face recognition
system through AI helps the common people of the countries, it will definitely be helpful. On the
contrary, it cannot help the forces if the operators of the system are not clever and smart enough.
The author has detailed his views on the autonomous artificial intelligence that can check
down the criminal activities completely. Therefore, there is a high need that the society will truly
be benefitted by this. In the paragraph no 14, the incident of 9/11 has been used an example and
the usefulness of the surveillance and research has been shown. The 21st paragraph in the article
has given the statistics that around 15 terror attacks had been stopped because the defense forces
used the computer algorithms.

2ENGLISH
The age of hyper-surveillance is on the horizon and this will be the most important part
for creating a crime free society. When the threats are detected through this system of
surveillance, the police officers will take up the pre-emptive action so they can solve it. The
driver of this system should be selected after going through many screening tests so this could be
used for the best purpose of social security (Tuffley, 2018). The author has used the inductive
logic to show that the technological aspects must always be at the subordinate level of the human
beings. In the paragraph 29, the author has said that the technology must work as the decision
support helper for the human beings.
I am very happy to know that Japan will look to implement similar technology in the
Tokyo 2020 Olympics since millions of sports lovers will gather there for that occasion. The
safety of such a huge amount of people can only be done through the assistance of technology
(Allen & Chan, 2017). The rebuttal of the above arguments can be shown by the fact human
beings will not be able to get all the things in the proper time since their measurements and
instincts will not work perfectly all the time.
I have to mention on this part that the global population is growing and this type of
hyper-surveillance system is highly needed since it is impossible for the police forces to be
consistent every time and keeping an eye like eagle. Therefore, this system will be beneficial but
I will urge the respective departments not to misuse this technology Dilek, S., (Çakır & Aydın,
2015).

3ENGLISH
References
Allen, G., & Chan, T. (2017). Artificial intelligence and national security. Cambridge, MA:
Belfer Center for Science and International Affairs.
Dilek, S., Çakır, H., & Aydın, M. (2015). Applications of artificial intelligence techniques to
combating cyber crimes: A review. arXiv preprint arXiv:1502.03552.
Osoba, O. A., & Welser, W. (2017). The risks of artificial intelligence to security and the future
of work. RAND.
Tuffley, D., (2018). AI Can Help In Crime Prevention, But We Still Need A Human In Charge.
[online] The Conversation. Available at: <https://theconversation.com/ai-can-help-in-
crime-prevention-but-we-still-need-a-human-in-charge-95516> [Accessed 5 April 2020].