Artificial Intelligence and Its Applications

 
 
 
ARTIFICAL INTELLIGENCE
 
Artificial
 
Intelligence
 
is
 
the
 
ability
 
for
 
a
computer
 
to
 
think,
 
learn
 
and
 
simulate
 
human
mental
 
processes,
 
such
 
as
 
perceiving,
reasoning,
 
and
 
learning.
It
 
can
 
also
 
independently
 
perform
 
complex
tasks
 
that
 
once
 
required
 
human
 
input.
 
WHAT
 
IS
 
ai?
 
Bhavika
 
how
 
does
 
machine
 
Learning 
Relate
 
to
Ai?
 
Machine
 
learning
 
implies
to
 
the
 
technologies
 
and
algorithms
 
that
 
allow
systems
 
to
 
recognize
patterns,
 
make
 
decisions,
and
 
improve
 
themselves
through
 
experience
 
and
data.
 
Although
 
the
 
terms
artificial
 
intelligence
 
(AI)
and
 
machine
 
learning
are 
frequently
 
used
interchangeably,
(machine
 
learning
 
is
 
a
subset
 
of
 
the
 
larger
category
 
of
 
AI.
 
)
 
Artificial
intelligence signifies
computers' general
ability
 
to 
mimic
human
 
thought 
while
carrying
 
out 
tasks
 
in
real-
world
environments
 
Norah
 
SofiA
 
THE
 
AI
 
ROBOT
 
Sophia
 
is
 
a
 
realistic
 
humanoid
 
robot
 
capable
 
of 
displaying
humanlike
 
expressions
 
and
 
interacting
 
with 
people.
 
It's
 
designed
for
 
research,
 
education,
 
and 
entertainment,
 
and
 
helps
 
promote
public
 
discussion 
about
 
AI
 
ethics
 
and
 
the
 
future
 
of
 
robotics.
 
Harshini
 
WHAT
 
PROBLEMS
 
CAN
 
AI
 
SOLVE?
 
Healthcare
Research
 
As
 
shown
 
above,
 
AI
 
can
 
solve
 
a
 
LOT
 
of
problems.
 
Let's
 
explore
 
a
 
few
 
on
 
the
 
next
slide!
 
Transportation
 
 
self
 
driving
 
cars
 
finding
 
data
 
*
 
medical
records
*
 
idea
 
generation,
 
Cybersecurity
 
 
dectecting
 
spam
 
uses
 
of
 
Ai
 
Customer
 
service
Customer
 
service
 
teams
can
 
get
 
feedback
 
from
customers
 
by
 
using
 
AI.
For
 
example,
 
AI-
powered
 
information
can
 
provide
 
agents
 
with
information
 
on
 
client
intent,
 
language,
 
and
sentiment
 
so
 
they
 
are
aware
 
of
 
how
 
to
approach
 
an
 
encounter.
 
Medical
 
diagnosis
Provides
 
more
 
exact
diagnoses,
 
detects
hidden
 
patterns
 
in
imaging
 
investigations,
and
 
predicts
 
how
patients
 
will
 
respond
 
to
specific
 
medications.
This
 
leads
 
to
 
better
treatment
 
strategies,
fewer
 
clinical
 
errors,
and
 
more
 
accurate
diagnoss.
 
(adVANTAGES
 
OF
 
AI)
 
Image
 
and
facial
recognition
It
 
can
 
help
 
make
 
data
safer
 
and
 
more
 
secure.
For
 
example,
 
face
authentication
 
can
ensure
 
that
 
only
 
the
appropriate
 
person
has
 
access
 
to
 
sensitive
information that 
is
intended
 
specifically
for
 
them.
 
Recommendatio
n 
systems
AI
 
content
recommendations
help
 
people
 
stay
engaged
 
and
informed.
For
 
example,
Virtual(Siri
 
and
 
Alexa.),
Personalized
 
content
on
 
streaming
platforms,
 
Apps
 
that
suggest
 
best
 
routes
based
 
on
 
traffic.
 
Bhavika
 
what
 
are
 
the
disadvantages
 
of
AI?
 
Privacy
 
Concerns
Ethical
 
Dilemmas
Security
 
Risks
Concentration
 
of
 
Power
Dependence
 
on
 
AI
Job
 
Displacement
 
Norah
 
Lack
 
of
 
Transparency
 
 
lying
 
about
 
using
 
AI
Bias
 
and
 
Discrimination
 
 
assumtion
 
based
 
of
 
incorrect
 
information
*
 
how
 
can
 
we
 
use
 
ai
responsibly?
 
Put
 
People
 
First
 
Consider
 
data
 
and
privacy 
goals
 
Minimize
 
unintended
bias
 
Ensure
 
AI
 
transparency
 
People
 
should
 
use
 
their
 
own
 
creativity,
 
not
 
copy
off
 
of
 AI!
 
AI
 
is
 
just
 
a
 
tool
 
for
 
efficiency!
 
Harshini
 
R
e
sponsible
 
A
I
 
USe
 
AI
 
can
 
help
 
do
 
repetitive
 
work
 
for
 
humans,
 
but
 
humans
 
should
 
still
 
be
 
prioritized.
Create
 
a
 
culture
 
that
 
utilizes
 
creativity,
 
empathy,
 
and
 
dexterity
 
from
 
humans
 
and
 
AI
for 
increased
 
efficiency.
 
Businesses
 
should
 
adopt
 
strong
 
security
 
measures,
 
limit
 
access
 
to
 
sensitive
 
data,
 
and
anonymize
 
data
 
whenever
 
possible
 
to
 
secure
 
data
 
privacy
 
with
 
AI
 
and
 
ML
technologies.
 
There
 
needs
 
to
 
be
 
fairness
 
in
 
AI
 
which
 
entails
 
identifying
 
and
 
eliminating
discrimination
 
while
 
also
 
encouraging
 
diversity
 
and
 
inclusion.
 
This
 
is
 
can
 
be
 
done
by 
using
 
training
 
models
 
with
 
equal
 
representation.
Develop
 
explainable
 
AI
 
that
 
is
 
visible
 
across
 
processes
 
and
 
functions
 
to
generate 
trust
 
among
 
employees
 
and
 
customers.
 
Provide
 
examinability,
comprehension, 
and
 
traceability.
Slide Note
Embed
Share

Artificial Intelligence (AI) is the ability for computers to mimic human thought processes, learn, and perform complex tasks independently. Machine learning is a subset of AI that enables systems to recognize patterns and make decisions. Sophia the AI robot is a humanoid robot designed for research and education. AI can solve various problems like enhancing cybersecurity, healthcare, research, and transportation. Its advantages include applications in image recognition, recommendation systems, customer service, and medical diagnosis, ensuring data security and accuracy.

  • Artificial Intelligence
  • Machine Learning
  • Applications
  • Robotics
  • Data Security

Uploaded on Sep 12, 2024 | 0 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. Download presentation by click this link. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

E N D

Presentation Transcript


  1. ARTIFICAL INTELLIGENCE

  2. CONTENTS 1 What is Artificial Intelligence? How is machine learning related? Examples of AI 2 3 4 What problems can AI solve? Disadvantages of AI How can we use AI responsibly? 5 6 Harshini

  3. WHAT IS ai? Artificial Intelligence is the ability for a computer to think, learn and simulate human mental processes, such as perceiving, reasoning, and learning. It can also independently perform complex tasks that once required human input. Bhavika

  4. how does machine Learning Relate to Ai? Machine learning implies to the technologies and algorithms that allow systems to recognize patterns, make decisions, and improve themselves through experience and data. Although the terms artificial intelligence (AI) and machine learning are frequently used interchangeably, (machine learning is a subset of the larger category of AI. ) Artificial intelligence signifies computers' general ability to mimic human thought while carrying out tasks in real-world environments Norah

  5. SofiA THE AI ROBOT Sophia is a realistic humanoid robot capable of displaying humanlike expressions and interacting with people. It's designed for research, education, and entertainment, and helps promote public discussion about AI ethics and the future of robotics. Harshini

  6. WHAT PROBLEMS CAN AI SOLVE? Cybersecurity dectecting spam Healthcare Research * medical records * idea generation, finding data Transportation self driving cars As shown above, AI can solve a LOT of problems. Let's explore a few on the next slide!

  7. uses of Ai (adVANTAGES OF AI) Image and facial recognition Recommendatio n systems AI content recommendations help people stay engaged and informed. For example, Virtual(Siri and Alexa.), Personalized content on streaming platforms, Apps that suggest best routes based on traffic. Customer service Customer service teams can get feedback from customers by using AI. For example, AI- powered information can provide agents with information on client intent, language, and sentiment so they are aware of how to approach an encounter. Medical diagnosis Provides more exact diagnoses, detects hidden patterns in imaging investigations, and predicts how patients will respond to specific medications. This leads to better treatment strategies, fewer clinical errors, and more accurate diagnoss. It can help make data safer and more secure. For example, face authentication can ensure that only the appropriate person has access to sensitive information that is intended specifically for them. Bhavika

  8. disadvantages of AI? Lack of Transparency lying about using AI Bias and Discrimination assumtion based of incorrect information Privacy Concerns Ethical Dilemmas Security Risks Concentration of Power Dependence on AI Job Displacement * Norah

  9. how can we use ai responsibly? People should use their own creativity, not copy off of AI! AI is just a tool for efficiency! Consider data and Put People First privacy goals Minimize unintended bias Ensure AI transparency Harshini

  10. Responsible AI USe AI can help do repetitive work for humans, but humans should still be prioritized. Create a culture that utilizes creativity, empathy, and dexterity from humans and AI for increased efficiency. Businesses should adopt strong security measures, limit access to sensitive data, and anonymize data whenever possible to secure data privacy with AI and ML technologies. There needs to be fairness in AI which entails identifying and eliminating discrimination while also encouraging diversity and inclusion. This is can be done by using training models with equal representation. Develop explainable AI that is visible across processes and functions to generate trust among employees and customers. Provide examinability, comprehension, and traceability.

Related


More Related Content

giItT1WQy@!-/#giItT1WQy@!-/#giItT1WQy@!-/#giItT1WQy@!-/#giItT1WQy@!-/#giItT1WQy@!-/#giItT1WQy@!-/#giItT1WQy@!-/#giItT1WQy@!-/#giItT1WQy@!-/#