Artificial Intelligence: Benefits, Challenges, and Future

This assignment explores the multifaceted aspects of artificial intelligence (AI), examining its benefits, challenges, and future implications. It begins by highlighting the core concept of AI, its applications, and its ability to enhance efficiency and speed through machine learning. The paper then delves into specific applications of AI across various sectors, including healthcare, business, education, and finance, showcasing how AI is driving advancements in these fields. It also addresses the challenges associated with AI, such as the lack of technical concepts, cost factors, and data acquisition issues. The assignment concludes with a writing plan and a list of references, providing a comprehensive overview of the subject matter. This assignment is available on Desklib, a platform designed to assist students with AI-based study tools.

Artificial intelligence

Why topic
This topic can be choose because Artificial intelligence is basically concern about the investigation of
hardware and how perform different task with the help of intelligence. Human being is used this concept
for managing their business operations and functions.

Three sources
According to the history, it can be easily identified that this is the best technique and succeed on particular
areas and extent. There are various type of AI program that affects the technological and innovations. The
artificial intelligence has ability to calculate, perceive the relationship and reason, experience etc. There
are different operations that automatically performed by this concepts.

Thesis statement
Artificial intelligence is beneficial for the human being in future?

Argument 1- it will lead to increase in efficiency and speed
It is the simulation of human intelligence that process with he help of computer system and machine
learning . These process can includes the learning, self corrections and reasoning etc. The most effective
AI application includes such as machine vision and speech recognition.

Argument 2- Advancement of technology
 Artificial intelligence in health care- The biggest improvement in the health care industry to provide
the best quality of services. This technology will help for reduce the cost and generate positive
outcomes. The health care industry is applying the machine learning concept to make faster diagnoses
and better for the humans. Artificial application also includes chatbots and computer program to
provide the online answer and assist to the consumers.
 Artificial intelligence in business- Robotic is the best process or method that applicable in the
automation which is applied for task performed by human beings. CRM is the platform or tool to
uncover the details and information to serve consumers. Chatbots is the incorporated that provide the
fast services provided to the consumers.

Artificial intelligence in education- It is the based on the automate grading and asses student to adopt new
things and helping the work at their own ways. This technology can change the learning style of students. In
this way, it provides the more concept to easily understand in effective ways.
Artificial intelligence in Finance- Artificial intelligence is based on the personal finance application to
collect personal data and information. There are various programs applicable such as Watson. This concept is
applied for the process to buy the property and other things.

Writing plan
Activity Day 1 Day 2 Day 3 Day 4 Day 6 Day 7
Selection of
topic
Finding out
sources
Defining thesis
statement
Identifying
challenges
Developing
presentation

Challenges and solutions
There are specific challenges faced in the artificial intelligence for different areas and fields.
 Lack of technical concept- This is the main cause of artificial intelligence so that it required for business process
to have specialist those easily understand the technology and their limitations. The lack of skilled human resources
that implement in the AL solution which is another cause of concern.
 The cost factor- Artificial technologies are more expensive as compare to another in the organization The big firm
is handle the separate budget and also implementations. Mid level business faced many problem related the cost.
The best solution is to consult with the other opportunities to handle the enterprise aspects.

Data Acquisition- data acquisition is the most challenges part in the artificial intelligence implementation. AI is mainly
depended on the sensor data that input the details in the system. Sometimes, it is not working properly due to the large data
set and other obstructions.

REFERENCES
Books and journals
Ambiga, N., 2018. Artifical Intelligence Doctor (Aid) Using Big Data Analytics and Artificial Intelligence
Techniques. International Journal of Applied Engineering Research, 13(5), pp.2207-2212.
Hutchins, N., Kirkendoll, Z. and Hook, L., 2017, October. Social impacts of ethical artifical intelligence
and autonomous system design. In Systems Engineering Symposium (ISSE), 2017 IEEE International
(pp. 1-5). IEEE.
Liu, F., Shi, Y. and Liu, Y., 2017. Intelligence quotient and intelligence grade of artificial intelligence.
Annals of Data Science, 4(2), pp.179-191.