Computing Research Project

COMPUTING RESEARCH
PROJECT

The impact and future influences of AI on our daily lives
1.0 Introduction
The purpose of this project is to analyze and find out the effects of Artificial Intelligence (AI) on
the existing technologies. AI covers the scope of all the machines which try to perform
operations like humans. Multiple types of robots or machines can be trained to perform human-
like operations. With the advancement of AI, human civilizations have reached far ahead in the
accomplishments in all the big and small areas of life.
Artificial Intelligence enables the machines to learn just like humans learn from their experiences
and adjust their performance to perform several tasks like humans. Most Artificial Intelligence
examples like chess-playing systems and self-driven cars depends heavily on learning and
processing of natural languages. Computers can be taught to complete multiple kind of processes
by utilizing huge amount of data &analyzing data patterns.
AI is a use of the human brain thinking, learning, deciding and working in solving problems.
This study results in smart software systems. The intention of AI is to enhance computer
functions that are associated with brain knowledge, for instance, learning, reasoning, and solving
problem. AI has been in use in the games, processing of natural languages, expert structures, and
vision systems, recognition of speech and handwriting and smart robots.
1.1 Research Background
Research background of present report is based on Artificial Intelligence effects
upon existing technologies. Scope of all machines is being covered by AI in order to
operate functions like humans. In this research, formative concept offering training to
robots are given in order to make them deliver services like humans. Research covers the
background of, AI advancements as with the help of this, human civilizations lead
towards reaching far ahead.
1.2 Research Justification

Research effectively justified AI lead towards transforming future into better prospects with the
help of which task can be effectively accomplished. In order to utilize this technology in a well
defined way it is essential to formulate best effective rules and regulations in order to safeguard
society. In addition with this, AI is required to ensure that they did not hamper society and world
peace. Thus. With the help of various measures safety measures can be effectively adopted to use
AI in best effective manner.
In addition with this it is essential to use AI technology in a ethical manner. But it is
required to ensure that this technology is used under high prevalence as in this, it lead towards
replacement of human from automation which acts as an serious threat and lead towards creating
dangerous elements for society. For an instance, by taking advantage of self driven cars lead
towards reducing the jobs of drivers that is a major threat for economy and human life. Thus,
there is a requirement to effectively utilize this technique in order to make formative balance in
between AI and human life.
1.3 Aims
The aim of this research is to determine how does AI helps us in the advancements of existing
technologies. This research will provide an overview of the whole process of how AI is being
used in our lives. How machines are trained to behave like humans by being provided enough
data to be trained on.
1.4 Objectives
To evaluate effective of AI in order to increase progress of technology
2 objectives example
With the help of robots technology is seemed to be far headed to perform various
operations in well effective way.
2.1 Research Question
Will AI increase the overall efficacy and progress of technologies?

1.6Literature Review
AI has developed every field of life by a large factor as compared to other technologies. AI
enables the existing technologies to develop further and use all available resources to perform at
their maximum level and provide maximum benefit to society. AI is becoming the most invested
area of interest recently all around the world.
As vehicles are getting abled to connect with each other & with the structure, AI information will
help number one wood avoid traffic jam and dangers. In Pittsburgh, an AI system incorporating
sensor & cameras that monitor lizard traffic flow adjusts traffic lights when required. Less idling
means that there will be less greenhouse gas expulsion in the process.
Since Russia, China, North Korea & other countries are putting substantial resources in AI
research and development hence it is paramount for the world to prepare for hyper war and to
defend critical cyber networks.
PriceWaterHouseCoopers (PwC) did a project and predicted that AI technologies can probably
increase the global GDP by $15.7 trillion, a total of 14% by 2030.
McKinsey Global Institute study in China reported that AI based automation will increase the
productivity of Chinese economy and add 0.8 to 1.4 % points to GDP growth yearly.0p;mn.
AI is also helping financial systems to detect frauds. In Large organizations, it is quite difficult to
identify frauds manually but AI can easily find out the abnormalities, subtle variations and
unique cases which require further investigation. With the help of this fraud detection AI system,
the fraud cases can be caught early in the process and loss can be prevented in the future.
1.7Methodology
There are multiple techniques to go about researching on a topic. Research is divided majorly in
two type’s i.e. primary and secondary research. In order to effectively accomplish this research
in a well defined manner secondary form of research method is used. One major example of
following this approach is to host your research as open source projects on the internet so that
anyone interested can use it in either their research or in their professional fields. This approach
allows the academia to work in collaboration with the professional experts and join their efforts
in developing the living standards for better. Various forms of sources are analyzed as to
effectively undertake research. Some of those measures include Internet Information, Data

available on company’s stock lists, Taking Results from Market Research. In addition with this, .
A survey published conferences will be conducted to gather and analyze data covering similar
topics and similar methods.

Primary Research
Primary research is the type of research which is done to gather fresh data for a research project.
It includes the one-to-one processes like surveys, interviews, observations and assessments of the
target audience by the researcher directly for the research purpose.
Primary research is difficult to conduct because it requires a lot of resources, time and prior
information about the target audience or subject to conduct surveys or interviews or do any kind
of direct research related to the subject. Basically, in the primary research method, the researcher
has to build everything from scratch by finding all the building blocks by himself and then
joining them together to form a well enough dataset for the research to be fulfilled sufficiently.
Secondary Research
Secondary research means to look for existing data on the research project and benefit from it
instead of going around collecting the data again.
Secondary research means to look for the conventional research papers being published in the
annual conferences around the world and reference the data being published in them in your own
writing. With this method, you can easily learn about all the advancements being made on any
specific topic till now and build your research on top of all the available research instead of
reinventing the wheel. A concise and predetermined pattern of collecting, using and representing
data is used to write your research in a way so that other researchers can easily benefit from it.
These results are then being published on multiple platforms where most of the concerned public
can get it easily and use it in their own research. A huge number of professional applications are
being built on top of existing research projects available online for free.
1.8. Chapter outline
Research covers the formative aspects of AI, it is a technology with the help of which numerous
benefits can be effectively generate. In addition with this, there are numerous set of platform
within which AI can be used as to offer different types of benefits. Along with this, AI help in
enabling the machines to learn from the experiences of humans and adjust task, as per according
to humans. In addition with this, major area where this technology is use include, self driven cars
along with chess playing systems. This will further help in the, completion of task in a well

defined manner with the help of utilizing data and information in effective manner. It also help in
accomplishment of work in a qualitative manner without any situation of mistakes and errors.
M1 Evaluate different research approaches and methodology
and make justifications for the choice of methods selected
based on philosophical/theoretical frameworks.
In this project, the second research method is being preferred over the primary research because
it opens up a vast area of research done by individuals from every domain of life. By using this
process, one can get help from all the available knowledge on the internet to collect, analyze and
develop his or her own research project which would then be helpful to others in future
generations. There are four types of secondary research methods available;
 Internet Information.
 Taking Results from Market Research.
 Data available on company’s stock lists.
 Information obtained from industrial or government national research reports.
Choosen research method in light of above methods, and our topic’s literature review, is
secondary research from data available on internet.
LO2 Conduct and analyse research relevant for a
computing research project
P3 Conduct primary and secondary research using appropriate
methods for a computing research project that consider costs,
access and ethical issues.
The research project included the following major steps. All of the following steps, performed in
a sequence, help us understand the difference between different methodologies, why a single one
is preferred over another? How data is gathered and analyzed for the research purpose? How
does the implementation affect the stakeholders of the platform on which AI is being introduced
and how much it has impacted the real world after its introduction to the world?

Cost Dimensions Regarding Artificial Intelligence Impact on
Innovative Technology
Particularly in high-labor cost countries like UK, US, Germany, Automation in the field of
technology and production, leads to significant reduction in labor costs. One Production working
hour of German industry cost €40 while on the other end, using AI integrated robots and
production machines costs about €5~ €8. Hence, an AI based robot is much cheaper than a
worker in China is. Moreover, AI integration in technology leads to more reliable industrial
environments as innovative machines never sleep, have children or any other related issues. This
aspect definitely going to improve annual profits of automation industries.
Ethical Dimensions Regarding Artificial Intelligence Impact on
Innovative Technology
With an evergrowing fact-paced world’s technology, people have now started demanding more
ethical, simple, and reliable technologies but not with the loss of their jobs. For example, if an
accountant uses AI to extract data, he/she can do a large data extraction to perform more
complicated tasks in couple of minutes. This can be a positive ethic of AI on technological
development. However, if AI replaces human tasks in terms of more automation, it can be a
dangerous act towards economy of people. For example, spreading self-driving car-culture can
leads to minimize driver’s jobs, and in this way it can damage human life and economy.
Autonomous computer systems are now becoming more reliable due to 24/7 continous working
hours. Their accuracy is more than human and they cannot be disrupted by any fatigues. In
decision-making processes performed using AI, decisions can be made without emotions and on
the basis of facts. These all ethical improvements of using AI in technology suggests that jobs
are not minimizing but are shifting to another scenario, because behind every machine there must
be a human capital, so AI provides human with more reliable outcome-based work with much
less effort required. Following principles should be adopted to minimize ethical lapses in proper
implication of AI technologies;

Figure 1: Principles to minimize ethical lapses in proper implication of AI technologies
Access Dimensions Regarding Artificial Intelligence Impact on
Innovative Technology
AI is increasingly being built and adopted due to its simplicity of use and high access rate. It is
now being used in developed countries in everything they do from marketing to housing.
Accessibility in banking helps users to complete tasks with fewer issues than before as processes
are becoming more simpler and accessible. Biometric verification provided by banks is another
example of how accessible AI is becoming. People needs to understand this technology more and
be comfortable with its usage. Technologies like face and voice recognition needs to be evolved
and make their ways towards wider audience and they are already evolving. For example,
integration of features recognition apps in rehabilitative technologies and automative cars, makes
AI to positively impact disability life too. One of the main challenges is to make accessibility
matter to a wider audience and AI can do this. Rather than going to libraries and affording
expensive air tickets, AI will make all the documentation of world in accessible format for
everyone [5].
AccuracyTransparencyRespectofPrivacyIntegrityControlImpactAccountabilityLearningFairness

P4 Apply appropriate analytical tools analyse research findings
and data
Keeping in view of our research question “what are the impacts of AI on technological
Advacements”, we have analyzed data using secondary research analytical tools and recorded all
data from ppublished conferences in a spread sheet and hence conclude impacts of AI in terms of
cost and ethical dimensions on different technological and research sectors. Below bubble graph
shows the analytics of AI impact sharing in technological advancements;
Figure 2: Bubble graph showing cost analysis of AI impact on different technological sectors
M2 Discuss merits, limitations and pitfalls of approaches to
data collection and analysis.
We used secondary data collection techniques to collect useful information from already
published researches on AI impacts on technology. It has following merits and de-merits;

Figure 3: Merits and Limitations of Secondary Data Collection Techniques
D1 Critically evaluate research methodologies and processes in
application to a computing research project to justify chosen
research methods and analysis.
What is the state of reproducibility from secondary research data?
This evaluation question is a basis of this research report. Previous conferences about AI impact
on technological progress of this world contain enough data to be presented as a secondary
research material. Previous research outcomes have been used to analyze our current hypothesis.
In order to evaluate current research methodologies, we maintained %age outcomes for each
step. 3.1% methods reproduced, 5% results reproduced. These values are very small as compared
to the 33.4% conferences recovered by Collberg while they had no contact with authors. It is first
and foremost a result of soe papers making impact of AI available. Results data was not
reproducible in the methods reproducible section, this research was based on similar or
supporting results, rather than identical, since certain findings were not that much deterministic.
What practices have seen an improvement in recent years?
There are considerable improvements in AI research methodologies since last two-three years.
The frequencies recorded for later instalments are much higher, but not high enough to make
considerable impact on research data.
What practices are encouraging reproducible research in AI?
We used theoretical data to encourage research about AI impact on technologies, but that method
was not reliable considering the lack of improvements in previous research questions about AI.
All of the questions are relative to each other and much identical. However, use of publicly

available datsets, and benchmarking data will be an encouraging reproducible action regarding
AI.

LO3 Communicate the outcomes of a research project to
identified stakeholders.
Cross-industry, artificial intelligence technology provides a commitment to increase productivity
and create new products and services. These technologies have been used in industries such as
retail, manufacturing and entertainment, and have great potential for further development, such
as in the pharmaceutical, education and transportation sectors. To better understand AI project’s
implementation effect on stakeholders, we conducted a secondary research gap analysis and
following table shows the interaction of stakeholders with AI projects;
Table 1: Effects of AI Projects Implementation on Stakeholders
Stakeholders Effect of AI Project Implementation
Government Initiates recycling of technology with the integration of AI in states
where possible.
Customers Responded to customers requirements in an innovative way but
user’s need to understand its proper use.
Shareholders Started attending integrated tech-reporting workshops and showing
their interest as major investors.
Employees 92% responding.
NGOs Attended a forum and international conference about responsible
usage of AI in industrial sectors.
Research Organizations Interacted with 14 organizations and their response to the project
implementation was good.
All From global citizenship and AI reports, we conducted data about AI
technological effects on all the world sectors, found out that affectees
largely included employees, investment analyzers, and engineers.
P5 Communicate research outcomes in an appropriate manner
for the intended audience.
Research into the history of technological change shows that technology can help increase
productivity, employment and economic prosperity in the long run. However, these studies also
show that the benefits of these populations take time to develop, and there may be a long period

of transition during the transitional period, with significant impact on some sections of the
population.
Evidence from historical and contemporary research suggests that the impact of technological
change on work tends to affect low-paid and low-quality workers, but not others. This suggests
that there may be significant transitional effects that can disturb some people or places.
The mechanization of the driving budget saves time, and also significantly decreases transport
costs. Soon, the cost of an autonomous vehicle would be as high as a bus ride, and driving would
be outdated as compared to riding.
Artificial intelligence makes advertising in our daily lives increasingly intelligent and deeper.
Machine learning algorithms create profiles for everyone. The data collected by promoters
increase. Related product recommendations, search results, and social news feeds are all
instances of advertisers who embed smart advertisements that use AI to appeal to you as an
separate consumer.
Slowly, these Artificial Intelligence algorithms can understand your behavior and know you
better than you, even before you know it. The effects of artificial intelligence on our society can
not be ignored today.

M3 Coherently and logically communicate outcomes to the
intended audience demonstrating how outcomes meet set
research objectives.
The outcome of our research aligns with our hypothesis which states that AI will have a huge
impact on all the technologies and will completely revolutionize the industry and normal life.
In recent years, technology has contributed to a variety of jobs, fostering highly skilled workers,
while decreasing the number of middle level income jobs and increasing rivalry for
unconventional work.
The concentration of market power can also hamper the income share, competition, and
productivity of the workforce. One of the biggest challenges of artificial intelligence is that, if
some workers are disproportionately affected and the benefits are not widespread, inequality may
at least increase in the short term.
The extent of technological progress - overall - the substitution of human labor depends on the
balance of forces, including productivity growth, mission creation, and capital accumulation. As
demand increases, the number of jobs created by employing workers in other roles and new jobs
in new technology areas also impacts on the overall economic impact of artificial intelligence
technology on automation.

D2 Communicate critical analysis of the outcomes and make
valid, justified recommendations.
Objectives of research report are clearly defined and are systematic with previous research
questions in the field of AI. Research objectives state that AI will increase the overall efficiency
of technology and later in justification of this objective, this reports clearly highlights that how
this efficiency will be increased but it doesn’t state the real value of efficiency which is still
maintained through integration of AI in world’s technology. Research outcomes are clearly
defined in terms of purposeful material and state the impact of AI on technology and thus on
people lives in both positive and negative way.

LO4 Reflect on the application of research methodologies
and concepts.
P6 Reflect on the effectiveness of research methods applied
for meeting objectives of the business research project
This project summarised the multiple studies done on AI’s impact on our life in different fields.
AI is going to become one of the most important parts of our society in the near future. With the
speed of current progress, AI will be presented in almost all of our technologies in almost one
century at max. With such a rapid growing, there is also an equal need to understand the effects
of AI on our society right now and what can it do in the future. This project gave an overview of
how AI can revolutionize our world but it also provided some suggestions related to better use of
AI.
Effectiveness Of The Applied Process
The process applied in the project was a secondary research process and it relied on already done
surveys and information. As far as the general public is concerned, this method is one of the best
approaches to do such studies since there are a lot of data generating resources already available
in the market so the process of using their data instead of generating our own data is relatively
more feasible and fast. Below table shows the effectiveness of this research report in terms of
good, medium, and poor approaches.
Table 2: Effectiveness of the Applied Process
Effectiveness Criteria Analyzing Effectiveness
Overview of AI impacts on human life Good
Better use of AI Poor
Secondary Research Method Medium
P7 Consider alternative research methodologies and lessons
learnt in view of the outcomes.
Data in previous researches in the field of AI have been observed and we concluded two
alternative approaches to be used as research methodologies. First one is that researchers don’t

need to apply design methodologies on different tasks and domains. Second one is that they need
to work with collaborators and experts in the field of research system they are trying to build.
M4 Provide critical reflection and insight that results in
recommended actions for improvements and future research
considerations.
 For future researchers who would like to pick this topic as their research project are
advised to try and gather data from more authentic resources.
 If they can do their own surveys in society and generate their own data than it will
increase the accuracy of their data.
 Improving the specification of surveys can reduce the subjectivity of certain AI variables.
 Expanding evidence is another approach to see what other conference authors are
publishing and reproducing their results with different policies can be of further
assistance of current topic.

D3 Demonstrate reflection and engagement in the resource
process leading to recommended actions for future
improvement.
When we enter online conference and research publication world, there was a lot many types of
data available. We extracted most useful and similar data for our research objectives. Then all
the data was thoroughly proof-read and hence we reproduce some results from those
publications. AI can help change the future to the better version of our current society but for
doing that we first need to make proper rules and regulations for the use of AI before it is
widespread in the society. It is a necessary step so that AI can not be used for destroying the
peace of world like weapons did in the past. We still have a chance to plan ahead of time to be
safe from all threats.

Conclusion
This research report presents reproducible actions regarding impacts of AI on technology. A total
of 50 papers were revised and documented accordingly. We hypothesized that theoretical
explanation of experiments is not a good practice to be considered because that documentation
practices have been improved in recent years a lot. The need of time is to produce and
industrialize results data in order to analyze real impact of AI in innovating the world. Among
the suggested ways to improve research methodologies, different practices for how to conduct AI
research were being discussed. But in a nutshell, both practices allow community to contribute
and have an positive impact since voluntary choice of reproduction of results as a secondary
research may be forgiveable for introduction period of research question.

References
Dominic Barton, Jonathan Woetzel, Jeongmin Seong, and Qinzheng Tian, “Artificial
Intelligence: Implications for China” (New York: McKinsey Global Institute, April 2017), p. 1.
Executive Office of the President, “Artificial Intelligence, Automation, and the Economy,”
December 2016, pp. 27-28.
Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the Future - Big Data, Machine Learning,
and Clinical Medicine. The New England journal of medicine, 375(13), 1216–1219.
doi:10.1056/NEJMp1606181
Paul Mozur, “China Sets Goal to Lead in Artificial Intelligence,” New York Times, July 21, 2017,
p. B1.
PriceWaterhouseCoopers, “Sizing the Prize: What’s the Real Value of AI for Your Business and
How Can You Capitalise?” 2017.
1.9. References