Page 27 - Knowledge Organiser Yr8 24-25

Knowledge Base: Computing AI and Machine Learning Year 8 | Autumn Term 2
1. What is AI?
1.1
what is artificial intelligence (AI)
An artificial creation of human-like intelligence that can ‘think’ like humans with abilities such as learning or problem solving.
1.2
examples of AI in use
Facial and fingerprint recognition, language processing, gaming.
1.3
neural networks
A neural network classifies information in the same way a human brain does.
4. Image recognition
4.1
facial recognition
Facial recognition is a way of identifying or confirming an individual’s identity using their face.
4.2
how are images built?
Images are divided up into squares called pixels.
4.3
fuzzy logic
is an approach to computing based on degrees of truth rather than the usual true or false (1 or 0) Boolean logic on which the modern computer is based.
2. Machine learning
2.1
facts and rules
AI is built on facts and rules. Facts have a yes/no outcome, whilst rules may be true in some cases and not others.
2.2
machine learning (ML)
In machine learning, the machine will work out the rules for itself.
5. Chatbots
5.1 chatbots
Programs that talk with humans.
5.2
captcha
The computer is trying to determine whether the person it is interacting with has human-like intelligence.
5.3
The Turing Test
A test to see if a human observer or judge can tell the difference between another human and a machine.
2.3 structured data
2.5 spam email
The data has been organised.
Also known as junk email, usually sent in bulk to a large list of recipients.
2.4
unstructured data
The data has not been organised.
6. Key vocabulary
6.1
sensor
A device which detects or measures a physical property and records, indicates, or otherwise responds to it.
3. Ethics of AI
3.1
ethics
Moral principles that govern a person's behaviour or the conducting of an activity.
3.2
autonomous vehicles
Self-driving vehicles have many potential ethical dilemmas to deal with.
3.3
automation
The use or introduction of automatic equipment in a manufacturing or other process or facility.
6.3 intelligence
the ability to acquire and apply knowledge and skills.
6.4
virtual assistant
A virtual assistant, also called AI assistant or digital assistant, is an application program that understands natural language voice commands and completes tasks for the user.
3.4 Bias in AI
When using AI, it is important to consider bias.
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