AI FOR BACHELOR STUDENTS
H1 THE BASICS OF AI
- By the end:
o Provide definition for range of AI-related concepts
o Determine what data is “good” data + explain why it is important by referring to
several Vs of data
o Determine cost factor of an AI project + explain what it consists of
1 WHAT IS INTELLIGENCE?
- Artificial intelligence
o Artifical
▪ Made by humans, often as a copy of something natural
▪ Not natural
o Intelligence
▪ Difficult to define, different definitions by philosophers & psychologists
▪ Ability to learn, understand and make judgements or have opinions that
are based on reason
- Alan Turing: father of computer science
o Turing test: can you separate the computer and the person in a chat convo?
1.1 DEFINITION ‘AI SYSTEM’ EUROPEAN AI ACT
- A machine-based system that is design to operate with varying levels of autonomy
- May exhibit adaptiveness after deployment and that infers how to generate outputs such
as predictions, content, recommendations of decisions that can influence physical or
virtual environments
1.2 WORKING DEFINITION
- An AI system is
o A computer system
o That learns independently
o And makes decisions it then executes
- Definition AI system European AI Act
o A machine-based system
o Designed to operate with varying levels of autonomy
o May exhibit adaptiveness after deployment
o Could infer how to generate outputs such as predictions, content, recommenda-
tions or decision that can influence physical or virtual environments
1
Sarah Lootens The basics of AI
, 2 AI PROJECTS
2.1 BUILDING BLOCKS
- Essential for an AI project
o Algorithm/ model: set of instructions for a job; how to get from input to output
o Hardware
o Data
2.1.1 HARDWARE
- Tangible parts of a computer
- Absolutely essential for any AI project
o Sensors (input)
o Memory (what is capacity?)
o Computer chips (how fast?)
2.1.2 DATA
- Can be images, numbers, text…
- Required to train algorithms
2.1.3 MODEL
- A model is a program or mathematical function that has been trained to recognize pat-
terns in data and make predictions or decisions without being explicitly programmed for
every possible scenario
- Data in → model → output
o Takes input data, processes it and produces an output
- Training
o Model is built by showing it many examples of input – output pairs during training
- Is the black box:
2
Sarah Lootens The basics of AI
H1 THE BASICS OF AI
- By the end:
o Provide definition for range of AI-related concepts
o Determine what data is “good” data + explain why it is important by referring to
several Vs of data
o Determine cost factor of an AI project + explain what it consists of
1 WHAT IS INTELLIGENCE?
- Artificial intelligence
o Artifical
▪ Made by humans, often as a copy of something natural
▪ Not natural
o Intelligence
▪ Difficult to define, different definitions by philosophers & psychologists
▪ Ability to learn, understand and make judgements or have opinions that
are based on reason
- Alan Turing: father of computer science
o Turing test: can you separate the computer and the person in a chat convo?
1.1 DEFINITION ‘AI SYSTEM’ EUROPEAN AI ACT
- A machine-based system that is design to operate with varying levels of autonomy
- May exhibit adaptiveness after deployment and that infers how to generate outputs such
as predictions, content, recommendations of decisions that can influence physical or
virtual environments
1.2 WORKING DEFINITION
- An AI system is
o A computer system
o That learns independently
o And makes decisions it then executes
- Definition AI system European AI Act
o A machine-based system
o Designed to operate with varying levels of autonomy
o May exhibit adaptiveness after deployment
o Could infer how to generate outputs such as predictions, content, recommenda-
tions or decision that can influence physical or virtual environments
1
Sarah Lootens The basics of AI
, 2 AI PROJECTS
2.1 BUILDING BLOCKS
- Essential for an AI project
o Algorithm/ model: set of instructions for a job; how to get from input to output
o Hardware
o Data
2.1.1 HARDWARE
- Tangible parts of a computer
- Absolutely essential for any AI project
o Sensors (input)
o Memory (what is capacity?)
o Computer chips (how fast?)
2.1.2 DATA
- Can be images, numbers, text…
- Required to train algorithms
2.1.3 MODEL
- A model is a program or mathematical function that has been trained to recognize pat-
terns in data and make predictions or decisions without being explicitly programmed for
every possible scenario
- Data in → model → output
o Takes input data, processes it and produces an output
- Training
o Model is built by showing it many examples of input – output pairs during training
- Is the black box:
2
Sarah Lootens The basics of AI
