These slides were created for a workshop aiming to introduce what is AI and its impact on our future lives. To use them, a reference is welcome but not required.
2. ® Mirea Cartabbia, Donata Petrelli
Who are we?
Insert speaker(s) information
3. ® Mirea Cartabbia, Donata Petrelli
Structure of the workshop
Contents:
● Key ideas on what is AI
● Examples
● The future of AI
Objectives:
1. Understand what AI is
2. Understand how AI will influence your lives
4. ® Mirea Cartabbia, Donata Petrelli
What is AI?
Go on Menti.com ed write the code xxx xxx xxx
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What is AI?
Insert screenshot with students’ answer
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What is really AI?
Manual instructions from a person to a
machine
The machine looks at the dog and transform it
into ‘data’ (characteristics). By putting them
together, the machine understands that the
object is a dog.
7. ® Mirea Cartabbia, Donata Petrelli
What is really AI?
A part of computer
science
A discipline trying to
build machines able
to do tasks that
usually require
human intelligence
Algorithms
Statistical approach
Data
8. ® Mirea Cartabbia, Donata Petrelli
What is really AI?
Data Science
AI
Machine Learning
Deep
Learning
Termini Chiave:
● Machine Learning
● Deep Learning
● Data Science
10. ® Mirea Cartabbia, Donata Petrelli
Types of AI
Supervised learning
Unsupervised learning
Narrow AI (weak AI)
Strong AI
11. ® Mirea Cartabbia, Donata Petrelli
Machine Learning
Machine Learning algorithms use mathematical-computational methods to
learn information directly from data.
Machine Learning (source: Excel e Intelligenza Artificiale per il Trading - Petrelli e Cesarini)
Data from an
example
Training
algorithm
Training
New model
(data to predict)
Model Predicted data
Feedback
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Where can we find AI today?
Ask students to give some examples
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Where can we find AI today?
CONTENT RECOMMENDATIONS
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Where can we find AI today?
SELF-DRIVING CARS
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Where can we find AI today?
FACE RECOGNITION
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Where can we find AI today?
CREATIVE & CULTURE
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Where can we find AI today?
ELECTRICAL APPLIANCES
Alexa and microwaves Robotic vacuums
AI in washing machines
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Where can we find AI today?
FINANCE
Fintech
● Algo trading
● Robo Advisors
● Fraud detection and
management
● Users profiles
● Risk analysis
● Credit ratings
21. ® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
TRANSLATORS
AI IN LINGUISTIC SCIENCE
● Automatic translators
● Speech synthesis
● Voice recognition
● Automatic interpretation
● Sentiment Analysis
● Intent-to-treat Analysis
● Generation of natural language
22. ® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
VIRTUAL ASSISTANTS
24. ® Mirea Cartabbia, Donata Petrelli
Some AI definitions
The study is to proceed on the
basis of the conjecture that 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.
John McCarthy, 1956
The theory and development of
computer systems able to
perform tasks normally
requiring human intelligence,
such as visual perception,
speech recognition, decision-
making, and translation between
languages.
English Oxford Living Dictionary
“The field of computer science
dedicated to solving cognitive
problems commonly associated
with human intelligence, such as
learning, problem solving, and
pattern recognition.
Amazon
cool things that computers can’t do
25. ® Mirea Cartabbia, Donata Petrelli
The future of AI
Transports
Healthcare
Manufacturing sector
Educations
Media
Customer suppor
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Is AI going to steal my job?
Machine Learning Engineers
Data Scientists
Business/Product Managers
Marketers
Researchers
…. But also:
… and even more:
Jurists
Doctors
Drivers
Creatives
Soldiers
Politicians
Economists
...
27. ® Mirea Cartabbia, Donata Petrelli
Some of the most important AI algorithms
● Bayesian network
● Finite automaton
● Fuzzy Logic
● Artificial Neural Network Model
● Genetic algorithms
● K-means clustering
● Decision Tree
Artificial Neural Network Model (source: Excel e Intelligenza Artificiale per il Trading - Petrelli
e Cesarini)
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Some issues
Technical issues: Ethical issues:
Bias
Privacy & Security
Effects on the job market
Lack of data &
technical skills
Quantum
computers