Essay: Artificial Intelligence Challenges in Developing Societies

This essay explores the multifaceted challenges posed by artificial intelligence (AI) to developing societies. It begins by addressing the issue of job displacement due to automation and AI advancements, highlighting the need for socio-economic transitions and the importance of reskilling initiatives. The essay then delves into the problem of bias within AI systems, particularly in machine learning algorithms, and discusses the implications of biased data sets and the potential for filtered bubbles in social media. It emphasizes the need for transparency and openness in AI algorithms to mitigate these biases. Furthermore, the essay examines the impact of AI and machine learning on data privacy, emphasizing the various ways data is collected and the risks associated with it, including misuse by both environmental and non-governmental actors. It concludes by acknowledging the benefits of AI while underscoring the importance of addressing its dark sides and responsibilities to ensure that the advantages of AI are realized while minimizing potential tradeoffs.

Running head: ARTIFICIAL INTELLIGENCE
Artificial Intelligence
(Artificial Intelligence outweigh any challenges for Developing Society)
Name of the Student
Name of the University
Author Note:

1ARTIFICIAL INTELLIGENCE
Introduction
Artificial Intelligence can be defined as the ability the system to enable robotic system for
this particular process. It is all about processing of given information and providing outcomes in
similar way (Russel and Norvig 2016). Artificial intelligence can be defined as a thought of
human learning, decision and solving kind of issues. By understanding the goals of this artificial
intelligence, it can easily tackle the given problems in the system. Artificial intelligence can be
easily deployed in hostile environment. Development of AI has also highlighted the fact that
various machine can bring huge number of efforts for human (Ghahramani, 2015). On the
contrary, it can bring huge number of challenges which can result in new issues that can bring
challenges regarding economic, legal and lastly ethics in the society.
In the coming pages of the essay, an idea has been provided concerning challenges
encountered in artificial intelligence for developing societies. The research essay has been
developed by making use of persuasive analytical model.
Discussion
Topic Sentence 1: Reducing the number of Jobs
In the last few years, the automation industry has been reducing the number of jobs.
Development in the field of artificial intelligence has accelerated this particular process. The AI
algorithm has been treating the middle-class jobs due to its advancement. AI is considered to be
revolution which has created data science, machine learning, engineering and IT jobs
(Brynjolfsson, Rock and Syverson 2018). It mainly aims to develop and maintain a system and
various kind of software on which the system will run. For tackling these issues, the whole

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technical industry is responsible for adapting huge number of shift (Müller and Bostrom 2016).
In the coming years, the socio-economic transition can easily look forward to understanding the
changes in the future so that they can easily understand need for more jobs.
Teaching new skills to people who are losing their job due to artificial intelligence can
easily complement the efforts (Moravčík et al. 2017). Technical organization are making use of
trends like cognitive computing and generation of natural language and its processing. It will
ultimately help them in breaking down the complexity of task and lower bar for its entry into the
tech job field.
Topic Sentence 2: Bias due to Artificial intelligence
Machine learning is considered to be an important branch of Artificial intelligence. It
mainly focuses on some of the algorithms like face recognition, suggestion, advertisement,
advertisement (Müller and Bostrom 2016). The whole things depend on data for train and hone
its algorithm. Proper information needs to be provided to user which is unbalanced. The given
system can easily convert and overt bias of the given data set (Moravčík et al. 2017). At present,
the whole AI industry is encountering issues due to diversity and easily dominated the white
males.
Another kind of issue which can be encountered is filtered bubble for Facebook and
another kind of social media. In this, the content can be easily biased, and preference can be
easily given users. It can be easily used for effectively shutting the whole thing down along with
realities (Helbing et al. 2019). There is large number of errors which can be used for tackling any
kind of mistake and flaws in it. Safeguard is all about putting the required data so that
organization can easily prevent large number of issues. It is all about analyzing the machine

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learning algorithm which is needed for manipulating the data. It can be achieved by
understanding any kind of transparency and openness in the given algorithm. The whole thing
can easily focus on promoting transparency and openness in the algorithm (Lu et al. 2018). Share
data can be easily opened by understanding the single entity and easily understand the
independent bodies so that they can achieve their goals in much better way.
Technological development in the domain of artificial intelligence is considered to be
persuasive. It mainly tends to affect health, economics, security and lastly governance. In
combination with some other emerging technology, artificial intelligence comes up with the
potential of changing society (Johnson et al. 2016). It is all about better decision making and
improvisation in human condition. Artificial intelligence aims to pose huge number of threats on
defence on economic system and social structure. It is all about increasing the overall integration
of society and technology (Brynjolfsson, Rock and Syverson 2018). The policy ground is mainly
provided on AI (Artificial Intelligence) objective analysis before making a summation of benefits
and risk.
Topic Sentence 3: AI has affected the Privacy of People
Both Artificial intelligence and machine learning focus on data so that organization can
easily centre their business some particular technology. It focuses on certain number of ways by
which huge number of data can be easily collected (Jha and Topol 2016). It puts emphasizes on
certain number of services which is properly targeted and very much efficient. Presently, there
has been more demand for organization for understanding cross privacy boundaries. There is
large number of issues for bad actors that are both environmental and non-governmental. Last
year, face recognition application rolled out some tool which focuses on certain number of ways

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for analyzing the crack and its protestors (Ghahramani, 2015). Machine algorithm is considered
to be effective for understanding the masked images and blurred pictures.
Another implementation of AI and ML is all about possibility of various people for
imitating handwriting, conversion Style. It comes up with unprecedented power which can
handle in the dark scenario (Krittanawong et al. 2017). Until and unless the organization are
developing the use of AI, it can regulate the collection of information and sharing of practices. It
is mainly needed for protecting user data so that no kind of harm can be seen for users. Both the
use and availability of the given technology needs to be revised and regulated so that it can
prevent the ill user for users.
The User of AI (Artificial Intelligence) and ML (Machine learning) needs to be sensible.
It is mainly done so that they can share the organization data on the internet platform (Russel and
Norvig 2016). In the present era, privacy is considered to be increasing commodity so that AI
can become much better.
Conclusion
From the above pages of the report, it can be concluded that there is huge number of
benefits for using artificial intelligence. Apart from benefits, there are many dark sides to this
disruptive technology. Artificial Intelligence is no kind of exception in this given scenario. It
aims to lay out huge number of challenges and understanding the responsibility so that all the
benefits can be taken into consideration. All the required benefits in Artificial Intelligence for
reducing the tradeoffs have been discussed.

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References
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