ARTIFICIAL
INTELLIGANCE
Presentation write up
Group members: Alishba Khalid, Adina Wasi,
Nohail Qureshi (BBA 1B)
1/29/2021
INTRODUCTION:
Artificial intelligence (AI), the ability to perform tasks typically associated with
intelligent beings by a digital computer or computer-controlled robot. The concept is
also used in the project of designing structures that are endowed with human
intellectual mechanisms, such as the capacity to reason, discover meaning,
generalize or learn from past experience. Since the invention of the digital
computer in the 1940s, it has been shown that computers can be programmed with
great competence to perform very complex tasks, such as finding evidence for
mathematical theorems or playing chess. Despite continuous improvements in
computer processing speed and memory power, there are still no programs that
can equal human versatility across broader domains or tasks that require a lot of
daily knowledge. On the other hand, in performing such particular tasks, certain
algorithms have surpassed the output standards of human experts and specialists,
such that artificial intelligence in this restricted context is used in applications as
diverse as medical diagnosis, computer search engines, and recognition of speech
or handwriting.
WORKING OF ARTIFICIAL INTELLIGANCE:
AI works with fast, iterative processing and intelligent algorithms by combining
large quantities of data, allowing the program to learn automatically from data
patterns or features. AI is a broad area of research involving several hypotheses,
techniques and technologies, as well as the following main subfields:
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Machine learning: Automates the design of analytical model. To find hidden
insights in data without being specifically programmed on where to look or
what to infer, it uses approaches from neural networks, statistics, operations
analysis and physics.
. A neural network is a type of machine learning consisting of interconnected
units (such as neurons) that, by responding to external inputs, process
information and relay information between each unit. To find similarities and
extract meaning from undefined data, the method needs several passes on
the data.
Deep learning: Uses massive neural networks with several layers of
processing units to learn complex patterns in vast volumes of data, taking
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advantage of developments in computing power and enhanced training
techniques. Popular applications include recognition of pictures and speech.
Computer vision: The recognition of what's in a picture or video depends on
pattern recognition and deep learning. They can capture photos or videos in
real time and view their surroundings as computers can process, analyze and
comprehend images.
Natural language processing: (NLP) is the capacity of computers, including
speech, to analyze, comprehend and produce human language. Natural
language interaction is the next stage of NLP, which enables humans to
connect with computers to perform tasks using common, everyday language.
USES AND IMPACT ON SOCIETY:
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Positive impacts:
However, there are also many positive impacts on humans, especially in the
healthcare sector. AI offers the ability for computers to understand, reason,
and apply logic. When working together, scientists, medical experts,
physicians, mathematicians, and engineers will design an AI that is targeted
at medical diagnosis and treatment, thus creating efficient and stable health
care delivery systems. As health professors and medical experts continue to
discover innovative and successful ways to cure illnesses, not only can the
modern device help analyze them, it is now possible to build robotic systems
to reliably execute certain sensitive medical procedures. We see AI's
commitment to health care here, like therapeutic robots which helps doctors
to figure out deficiencies in the patient. Reduce errors in a human life related
to human fatigue and they have developed a new and improved radiology
like cardiac MRI, body MRI and etc.
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Negative impacts:
A major structural transition will emerge that will disrupt the way we live in
the human world. Humanity has to be hard-working to make a living, but we
can only configure the computer to do something for us with the AI service
without ever raising a tool. Human closeness will eventually decline as AI
eliminates the need for people to meet face-to-face for the sharing of ideas.
As a personal gathering is no longer needed for contact, AI can stand
between people. The next thing is unemployment, so more jobs will be filled
by machines. Today, automation and robotics have flooded many car
assembly lines, causing conventional employees to lose their jobs. The shop
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clerks will no longer be needed even in the store, when the automated
system will take over human labour. Lastly, wealth disparity will be
generated when the main share of profits will be taken up by the investors of
AI. The distance would be expanded between the wealthy and the poor. The
distribution of resources in the so-called "M" form would be more evident.
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