GEELEC Intro to AI

AI

is a technology that allows computers to learn like humans.

AI

can learn from experience and adapt over time.

Hear, See, Think

AI is able to

Hear

Understand voice, speech, music

See

Recognize object in images

Think

Predict outcome based on data

1935

Year of Turing Machine

Allan Mathison Turing

a British logician and computer pione

Turing Machine

abstract computing

machine consisting of a limitless memory

and scanner that moves back and forth

through the memory, symbol by symbol,

reading what it finds and writing further

symbols.

1950

Year of Turing Test

Turing Test

A number of different

people play the roles of interrogator and foil, and, if a

sufficient proportion of the interrogators are unable to

distinguish the computer from the human being

1956

Birth AI

Dartmouth Conference

The term "Artificial

Intelligence" officially coined at the

John McCarthy

Dartmouth conference was organized by

John McCarthy (Birth of AI)

every aspect of learning or any other feature of

intelligence can in principle be so precisely

described that a machine can be made to

simulate it.”

IBM's Deep Blue/Big Blue

Who defeated Garry Kasparov

AlexNet

a deep convolutional neural network

that revolutionized computer vision.

Geoffrey Hinton, Alex Krizhevsky, Ilya SutsKever

Who Introduced AlexNet

2018

Year of Creative Generation

Creative Generation

AI starts creating images,

videos, music, and text on its own.

creative generation

AI stopped just analyzing data; it could now generate

new, original content.

Creative Generation

This is the first step toward AI as a co-creator rather than

just a tool for recognition or classification.

Multimodal Skill

AI can understand and mix text,

images, and audio together, meaning they could process

and combine multiple types of data (modalities)

simultaneously, rather than being limited to just one (like

text or images).

2020

Year of Multimodal Skill

ETHICAL AND RESPONSIBLE USE

Now, it’s not just about

being smart — AI must be fair, safe, and transparent for all.

AI research and deployment had shifted focus from just

performance to ethics, responsibility, and safety. This

reflects a maturing stage of AI, where societal impact

matters as much as capability

Algorithm

A set of step-by-step rules. (e.g. A cooking

recipe, Following a GPS route.)

Automation

A program that follows predefined rules

automatically

AI

A program that learns and improves over time. (e.g.

chatbots, self-driving cars).

Analytical Thinking

means breaking a big problem into

smaller pieces, so you can understand how each piece works.

It’s like solving a puzzle — you focus on one piece at a time

Structural Thinking

means putting those pieces into a logical

order, so they work together as a system

Data Collection

We give the AI thousands of images of

apples, bananas, and oranges.

Learn from the data

The AI finds patterns from those

images

Making predictions

it sees a new fruit and predict it

through its knowledge/memory.

Improving Over time

If it gets wrong, we correct it. It

keeps learning and improving.

Data Collection, Learn from data, Making Prediction, Improving Overtime

How does AI work

Deep learning and Machine Learning

Two subfields of AI

Machine Learning

Algorithms that learn patterns from data

and improve over time

machine Learning

Moderate - needs some human feature

selection

Machine Learning

Can work with smaller datasets, but

quality matters

Machine Learning

Generally faster training

Machine Learning

Prediction house prices, customer

segmentation, fraud detection

Deep Learning

Subset of ML that uses multi-layered

neural networks to learn complex

patterns

Deep Learning

High - can automatically discover

features (no human selection needed)

Deep Learning

Needs huge dataset to perform well

Deep Learning

Much slower training due to deep layers

Deep Learning

Image recognition, speech-to-text,

self-driving cars

Smarter than human

Conscious or self aware

Perfect

AI is not

Smarter than human

AI can generate an essay, but it doesn’t

understand what it wrote. It’s mimicking patterns from its

training data.

Conscious or self Aware

Chatbots don't "think" before

responding. They predict the most likely next words based on

probabilities, not personal understanding.

Perfect

AI-powered tools have been shown to reflect biases

from historical data, leading to unfair outcomes or biased

opinions

Career Readiness

Many future jobs will require AI literacy.

Understanding AI gives you an advantage in the job market.

Creativity and Innovation

AI helps in creative fields like art,

music, and game design. Learning how AI works allows you to

use it to your advantage

Problem Solving Skills

AI is used to solve global challenges.

Knowing how to use AI can help you develop solutions in any

field.

Guiding children to a digital world

AI influences the way

children learn, play, and interact online. Parents or guardian need

to understand it to guide them.

Making informed decisions

AI is embedded in shopping,

banking, and entertainment. Knowing how it works helps us

make better choices.

Ensuring AI is used safely

Understanding AI helps us

recognize risks like misinformation and excessive screen time.

Enhancing teaching methods

AI-powered tools personalize

learning and make education more engaging

Help us navigate the future

AI literacy is becoming

essential. Educators who understand AI can better prepare their

students.

Classroom Efficiency

AI can automate grading, track student

progress, and offer new ways to teach complex subjects.

Career Readiness

Creativity and Innovation

Problem solving skills

Guiding children to a digital world

Making informed decisions

Ensuring AI is used safely

Enhancing teaching methods

Help us navigate the future

Classroom efficiency

Why should we learn AI