Artificial Intelligence | Report | New

Running head: PROJECT MANAGEMENT
Artificial Intelligence
Name of the Student
Name of the University
Author’s Note

1
PROJECT MANAGEMENT
Introduction
Artificial Intelligence (AI) has experienced a resurgence after decades of inertia and it is
analyzed that after 2012, funding has exponentially grown in that field as AI method is known as
one of the Deep Learning Powered which is considered as one of the breakthroughs within
machine image recognition. In this essay, proper discussion is done which reflects that the
benefits of Artificial Intelligence outweigh the disadvantages.
Discussion
According to Tan (2019), AI generally helps in reducing human error and further helps in
taking proper decisions from the previously gathered information by applying proper set of
algorithms. It is found that a number of risky limitations of humans are generally overcome by
developing AI Robot for doing some of the risky operations for exploring the deepest parts of
oceans as well as for mining coal as well as oil. It is stated by Haibe-Kains et al. (2020). that AI
ecosystem is considered as one of the ways that helps in avoiding entrenching errors but further
helps in improving institutional functions quite effectively. The government have become much
more aware about the requirement of technical experts for addressing the challenges that AI
bring. Furthermore, AI can generally make machines work 24X7 without undertaking any types
of breaks and thus does not waste time.
It is opined by Prevedello et al. (2019) that some of the highly advanced organizations
generally utilizes digital assistants for properly interacting with the users that generally saves the
need for various human resources. The digital assistants are mainly used inn some of the website
for providing things that the users generally want. Furthermore, by using AI technology, one can
be able to take proper decisions faster than a human for carrying out different types of decisions

2
PROJECT MANAGEMENT
quite quicker. According to Horowitz (2018), daily applications including Apple’s Siri as well as
Window’s Cortana for properly searching a location as well as for taking selfies as well as for
making a number of phone calls. Additionally, AI generally empowers a number of inventions in
number of domains that will further help the humans the solving a number of complex issues.
On the other hand, it is found that the hardware as well as software requirements needs
to be properly updated with time for meeting the recent requirements and is further found to be
expensive. In addition to this, it causes unemployment as all the work that is performed by
humans can be done with the help of machines (Nadimpalli, 2017). Moreover, more use of AI
has made humans dependent on machines like Siri. It is identified that with so much of
assistance from machines, if human do not use their abilities then these abilities can decrease
which can later create problems (Pullum et al., 2018).
Conclusion
Thus, it is found that the opportunities that are provided by AI must obscure the risks
which the technology generally brings. It is found that the technologies that powers previous
industrial revolution generally brought a number of challenges however the long-term effects of
the transformation are identified to be beneficial. It is found that there is no reason that helps in
expecting the effects of AI and that further helps in encouraging innovation.

3
PROJECT MANAGEMENT
References
Haibe-Kains, B., Adam, G. A., Hosny, A., Khodakarami, F., Board, M. A. Q. C.,
Waldron, L., ... & Hoffman, M. M. (2020). The importance of transparency and reproducibility
in artificial intelligence research. arXiv preprint arXiv:2003.00898.
Horowitz, M. C. (2018). Artificial Intelligence, International Competition, and the
Balance of Power (May 2018). Texas national security review.
Nadimpalli, M. (2017). Artificial intelligence risks and benefits. International Journal of
Innovative Research in Science, Engineering and Technology, 6(6).
Prevedello, L. M., Halabi, S. S., Shih, G., Wu, C. C., Kohli, M. D., Chokshi, F. H., ... &
Flanders, A. E. (2019). Challenges related to artificial intelligence research in medical imaging
and the importance of image analysis competitions. Radiology: Artificial Intelligence, 1(1),
e180031.
Pullum, L. L., Jindal, A., Roopaei, M., Diggewadi, A., Andoni, M., Zobaa, A., ... &
Kumar, R. (2018). Big Data Analytics in the Smart Grid: Big Data Analytics, Machine Learning
and Artificial Intelligence in the Smart Grid: Introduction, Benefits, Challenges and Issues.
Tan, H. H. (2019, November). The Applications of Artificial Intelligence and the
Abilities of Supporting in Learning Japanese Language. In Proceedings of the 2019 2nd
International Conference on Computational Intelligence and Intelligent Systems (pp. 156-160).