Artificial Intelligence

ARTIFICAL INTELLIGENCE

A PRESENTATION BY
Renad Ahmed

Hi, I’m Andrea

cONTeNTS

What is Artificial Intelligence?

1

2

What problems can AI solve?

3

How is machine learning related?

4

5

6

Examples of AI

Disadvantages of AI

How can we use AI responsibly?

Renad

Artificial Intelligence is the ability for a

computer to think,learn and simulate human

mentalprocesses,suchas perceiving,

reasoning,and learning.

It canalso independently perform complex

tasks that once required humaninput.

WHAT ISAI?

Renad

how does machine
Learning Relate to Ai?

M achine learning implies
to the technologies and
algorithms that allow
systems to recognize

patterns,make decisions,
and improve themselves
throughexperience and

data.

Althoughthe terms

artificialintelligence (AI)
and machine learning are

frequently used
interchangeably,

(machine learning is a
subset of the larger

category of AI.)

Artificialintelligence
signifies computers'

generalability to

mimic humanthought

while carrying out
tasks inreal-world

environments

Renad

EXAMPLES

Virtual

Assistance

Autonom ous

vehicles

Chatbots

Recom m endation

systems

Navigation apps

Facial recognition

Text editors

AI canbe used for various
situations,but these are
some examples of AI inour

daily life.

E-commerce

Renad

Multiple Choice

AI can be used for various  situations, but these are  some examples of AI in our  daily life.

• Virtual  Assistance

• Facial recognition

• Recommendation  systems

• All of the above

Sof i a THE AIROBOT

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

aboutAI ethics and the future of robotics.

Renad

WHAT PROBLEMS CANAISOLVE?

Healthcare
Research

As shown above, AI can solve a LOT of
problems. Let's explore a few on the next

slide!

Renad

Transportation → self driving cars

finding data

* medical records

* idea generation,

Cybersecurity →

dectecting

Multiple Select

WHAT PROBLEMS CANAISOLVE?

• Cyber Security

• Health-care

• Non - of the above

• Research

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

diagnosis.

(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.

Recommendation

systems

AIcontent

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.

Renad

what are the

disadvantages of AI?

Privacy Concerns
Ethical Dilemmas

Security Risks

Concentration of Power

Dependence on AI

Job Displacement

Renad

Lack of Transparency → lying about using AI

Bias and Discrimination → assumtion based of incorrect

information

→

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.

Thanks for

listening!