About AI introduction for kids in MIT, good

1. A set of steps or rules to
follow in order to solve a
problem or accomplish a
specific goal.
®
Algorithm

2. A program made by people
that makes computers do
things that seem intelligent
(or smart) in the same way
that humans are intelligent.
Artificial
Intelligence
®

3. Made by humans, especially in
imitation of something
natural.
®
Artificial

4. An organized group of
information.
Dataset
®

5. To find and remove mistakes.
Debug
®

6. The ability to learn or
understand.
Intelligence
®

7. To grasp the meaning of.
Understand
®

8. To become aware of, know,
or identify through one of
the senses (sight, taste,
smell, hear, touch).
Perceive
®

9. To communicate with or
react.
Interact
®

10. A statement about what will
happen or might happen in the
future or what something is
without knowing for certain.
Prediction
®

11. The data or material given to
machines for them to learn.
Training Set
®

12. A particular way of looking
at something; a point of view.
Perspective
®

13. Supporting or opposing a
person or thing or category
of people or things in an
unfair (and often hidden)
way.
Biased
®

14. The action of supporting or
opposing a particular person
or thing or category of
people or things in an unfair
(and often hidden) way.
Bias
®

15. Errors in algorithms are
often caused by uneven data
sets that create unfair
outcomes, such as privileging
one group of users over
others or discriminating
against particular groups.
Algorithmic Bias
®

16. Treating one group of people
differently than another
group in an unfair way.
Discrimination
®

17. A type of machine learning in
which an AI agent is trained
through trial and error.
Reinforcement
Learning
®

18. Communication channels
through which we distribute
news, music, movies,
education, promotional
messages, images, art, and
other data.
Media
®

19. To see a difference between.
Discriminate
®

20. A group or system of
interconnected people or
things.
Network

21. An AI technique that allows a
machine to generate new
data with the same data as
the training set.
( GAN) generative adversarial network

22. A video of a person whose
face or body has been
digitally altered so that they
appear to be someone else.
Deepfake

23. Moral, right.
Ethical