AI101-1L Quiz 1

Artificial Intelligence

is a technology that allows computers to learn like humans

Hallucinations

mga maling sagot or irregularities answer na galing sa AI

Hear

In this way, AI is able to understand voice, speech, and music

See

In this way, AI is able to recognize object in images

Think

In this way, AI is able to predict outcome based on data

1956 - Birth of AI

The term "Artificial Intelligence" officially coined at the Dartmouth Conference

1997 - Problem Solving

AI beats a chess champion, showing it can process data and predict moves

2012 - Computer Vision

AI learns to "see" and identify objects in photos better than ever before

2018 - Creative Generation

AI starts creating images, videos, music, and text on its own

2020 - Multimodal Skill

AI can understand and mix text, images, and audio together

2024 - Ethical & Responsible AI

Now, it's just about being smart — AI must be fair, safe, and transparent for all

Internet

public access

Intranet

private access

Algorithm

A set of step-by-step rules

Examples:

• A cooking recipe

• Following a GPS route

Automation

A program that follows predefined rules automatically

Examples:

• Automatic doors

• Email reply template

AI

A program that learns and improves over time

Examples:

• Chatbots

• Self-driving cars

Analytical Thinking

• Breaking a big problem into smaller pieces

• So you can understand how each piece works.

• Like solving a puzzle — you focus on one piece at a time

Structural Thinking

• 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 Data

The AI finds patterns: apples are round & round, bananas are long & yellow

Making predictions

It sees a new fruit and says, "This is an apple!"

Improving over time

If it gets it wrong, we correct it. It keeps learning & improving!

Machine Learning (ML)

• Algorithms that learn patterns from data and improve over time

• Moderate — needs some human feature selection

• Can work with smaller datasets, but quality matters

• Generally faster training

• Predicting house prices, customer segmentation, fraud detection

Deep Learning(DL) / Neural Networks

• Subset of ML that uses multi-layered neural networks to learn complex patterns

• High — can automatically discover features (no human selection needed)

• Needs huge datasets to perform well

• Much slower training due to deep layers

• Image recognition, speech-to-text, selfdriving cars

1. Smarter than human

2. Conscious or self-aware

3. Perfect

AI is not? (3)

1. Career Readiness

2. Creativity & Innovation

3. Problem-Solving Skills

Why youth should learn AI? (3)

1. Guiding Children in a Digital World

2. Making Informed Decisions

3. Ensuring AI is Used Safely

Why parents should learn AI? (3)

1. Enhancing Teaching Methods

2. Helping Students Navigate the Future

3. Classroom Efficiency

Why educators should learn AI? (3)

1. Training Others to Use AI Effectively

2. Understanding AI’s Educational Impact

3. Developing AI Training Programs

Why master trainers should learn AI? (3)