Artificial Intelligence Project 2022

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Part 1: Project Topic – Artificial Intelligence (AI)
What is it?
AI enables machines to learn from their interactions and experiences and adapt to their
new inputs to make complex decisions and accomplish human-likes tasks.
Why did you choose it?
Recently, AI has emerged as a hot discussion area and has been applied in various fields
across the globe. Most of the AI applications evident today – ranging from computers that can
play chess to autonomous cars highly depend on Natural Language Processing (NLP), Speech
Recognition (Miller 19)
At this point, what do you think the answers will be? Why?
Using the AI technologies mentioned above, machines can be trained and learn to
perform particular tasks by processing big data and recognizing trends and patterns in the data
using business intelligence tools.
What steps will you take to answer the questions?
To answer the questions, I will embark on searching existing literature in digital libraries
such as ScienceDirect, Sage or Emerald journals. I will use keywords such as AI, uses of AI, AI
applications and AI technologies. After rigorous scrutiny of the literature, I will pick a few of
them that best answers the questions in context.
What obstacles (if any) do you see in your way to answering the questions?
The major challenge would be allocating enough time to carry out the project. However,
this I can manage by researching during late night and early morning hours. Also, the scope of
AI is very wide, and it is challenging to define what to include and what to leave out (Anderson
and Rainie 3)

Work Cited
Anderson, Janna, and Lee Rainie. “Artificial Intelligence and the Future of Humans.” Pew
Research Center: Internet, Science & Tech, 10 Dec. 2018. www.pewresearch.org,
https://www.pewresearch.org/internet/2018/12/10/artificial-intelligence-and-the-future-
of-humans/.
Miller, Anthony. “The Intrinsically Linked Future for Human and Artificial Intelligence
Interaction.” Journal of Big Data, vol. 6, no. 1, Dec. 2019, p. 38. DOI.org (Crossref),
doi:10.1186/s40537-019-0202-7.