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® Mirea Cartabbia, Donata Petrelli
® Mirea Cartabbia, Donata Petrelli
Who are we?
Insert speaker(s) information
® 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
® Mirea Cartabbia, Donata Petrelli
What is AI?
Go on Menti.com ed write the code xxx xxx xxx
® Mirea Cartabbia, Donata Petrelli
What is AI?
Insert screenshot with students’ answer
® Mirea Cartabbia, Donata Petrelli
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.
® 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
® Mirea Cartabbia, Donata Petrelli
What is really AI?
Data Science
AI
Machine Learning
Deep
Learning
Termini Chiave:
● Machine Learning
● Deep Learning
● Data Science
® Mirea Cartabbia, Donata Petrelli
The fathers of AI
® Mirea Cartabbia, Donata Petrelli
Types of AI
Supervised learning
Unsupervised learning
Narrow AI (weak AI)
Strong AI
® 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
® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
Ask students to give some examples
® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
CONTENT RECOMMENDATIONS
® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
SELF-DRIVING CARS
® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
FACE RECOGNITION
® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
CREATIVE & CULTURE
® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
E-SPORTS
® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
ROBOTS
® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
ELECTRICAL APPLIANCES
Alexa and microwaves Robotic vacuums
AI in washing machines
® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
FINANCE
Fintech
● Algo trading
● Robo Advisors
● Fraud detection and
management
● Users profiles
● Risk analysis
● Credit ratings
® 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
® Mirea Cartabbia, Donata Petrelli
Where can we find AI today?
VIRTUAL ASSISTANTS
® Mirea Cartabbia, Donata Petrelli
Let’s define together AI
® 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
® Mirea Cartabbia, Donata Petrelli
The future of AI
Transports
Healthcare
Manufacturing sector
Educations
Media
Customer suppor
® Mirea Cartabbia, Donata Petrelli
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
...
® 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)
® Mirea Cartabbia, Donata Petrelli
Some issues
Technical issues: Ethical issues:
Bias
Privacy & Security
Effects on the job market
Lack of data &
technical skills
Quantum
computers
® Mirea Cartabbia, Donata Petrelli
Questions?
® Mirea Cartabbia, Donata Petrelli
Further information:
Introductive AI courses:
● Elements of AI: https://www.elementsofai.com/
● Kiron: https://ki-campus.org/courses/aiquestions2020
Documentaries:
● YouTube Originals - The Age of A.I: https://www.youtube.com/watch?v=UwsrzCVZAb8&t=14s
● Quantum computers:
https://www.youtube.com/watch?v=JhHMJCUmq28
● Social Dilemma: https://www.youtube.com/watch?v=uaaC57tcci0
Libri:
● The Proust QuestionnAIre: https://www.amazon.it/Proust-QuestionnAIre-Artificial-Intelligence-
stunningly-
ebook/dp/B085TKPZSL/ref=sr_1_1?__mk_it_IT=%C3%85M%C3%85%C5%BD%C3%95%C3%91&dchil
d=1&keywords=nancy+nemes&qid=1607443224&sr=8-1

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AI Introduction for high school students

  • 1. ® Mirea Cartabbia, Donata Petrelli
  • 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
  • 5. ® Mirea Cartabbia, Donata Petrelli What is AI? Insert screenshot with students’ answer
  • 6. ® Mirea Cartabbia, Donata Petrelli 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
  • 9. ® Mirea Cartabbia, Donata Petrelli The fathers of AI
  • 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
  • 12. ® Mirea Cartabbia, Donata Petrelli Where can we find AI today? Ask students to give some examples
  • 13. ® Mirea Cartabbia, Donata Petrelli Where can we find AI today? CONTENT RECOMMENDATIONS
  • 14. ® Mirea Cartabbia, Donata Petrelli Where can we find AI today? SELF-DRIVING CARS
  • 15. ® Mirea Cartabbia, Donata Petrelli Where can we find AI today? FACE RECOGNITION
  • 16. ® Mirea Cartabbia, Donata Petrelli Where can we find AI today? CREATIVE & CULTURE
  • 17. ® Mirea Cartabbia, Donata Petrelli Where can we find AI today? E-SPORTS
  • 18. ® Mirea Cartabbia, Donata Petrelli Where can we find AI today? ROBOTS
  • 19. ® Mirea Cartabbia, Donata Petrelli Where can we find AI today? ELECTRICAL APPLIANCES Alexa and microwaves Robotic vacuums AI in washing machines
  • 20. ® Mirea Cartabbia, Donata Petrelli 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
  • 23. ® Mirea Cartabbia, Donata Petrelli Let’s define together AI
  • 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
  • 26. ® Mirea Cartabbia, Donata Petrelli 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)
  • 28. ® Mirea Cartabbia, Donata Petrelli Some issues Technical issues: Ethical issues: Bias Privacy & Security Effects on the job market Lack of data & technical skills Quantum computers
  • 29. ® Mirea Cartabbia, Donata Petrelli Questions?
  • 30. ® Mirea Cartabbia, Donata Petrelli Further information: Introductive AI courses: ● Elements of AI: https://www.elementsofai.com/ ● Kiron: https://ki-campus.org/courses/aiquestions2020 Documentaries: ● YouTube Originals - The Age of A.I: https://www.youtube.com/watch?v=UwsrzCVZAb8&t=14s ● Quantum computers: https://www.youtube.com/watch?v=JhHMJCUmq28 ● Social Dilemma: https://www.youtube.com/watch?v=uaaC57tcci0 Libri: ● The Proust QuestionnAIre: https://www.amazon.it/Proust-QuestionnAIre-Artificial-Intelligence- stunningly- ebook/dp/B085TKPZSL/ref=sr_1_1?__mk_it_IT=%C3%85M%C3%85%C5%BD%C3%95%C3%91&dchil d=1&keywords=nancy+nemes&qid=1607443224&sr=8-1

Editor's Notes

  1. ABC Word Cloud (il giorno prima della lezione) Alla fine della lezione, aggiungere screenshot di quanto detto dai ragazzi
  2. Non e’ magia, si tratta di librerie matematiche, algoritmi
  3. Non e’ magia, si tratta di librerie matematiche, algoritmi
  4. Chiedere ai ragazzi se, dopo aver ascoltato i nostri input, riescono a farci qualche esempio di AI. Far poi comparire le immagini
  5. L’Intelligenza Artificiale e’ fatta da persone. Ruoli professionali