Computer Science

an approach used to design and build artificial intelligence (AI) systems that is said to “learn” by using examples in the form of data

a way of designing systems using a set of predefined rules

a way of designing systems using data instead of step-by-step instructions or rules

Machine learning

Introduction to AI

Predictive vs generative AI

Social and ethical issues of AI systems

Data driven models

Approaches to training machine learning models

Classification

Machine learning engines

This unit introduces pupils to the emerging field of data science. They will explore what AI systems are and the different categories of AI. The concept of machine learning and how models are driven by data will be explored. They will also consider the ethical and wider implications of AI systems.

Data science: AI and machine learning

Traditional programming uses machine learning models.

Machine learning writes its own rules from data.

Machine learning always uses physical robots.

What is the main difference between traditional programming and machine learning?

What term describes an approach where decisions are made using information collected from examples rather than fixed instructions?

when computers use examples to learn and improve

thermostat turning on heating at a set temperature

app recommending music based on listening history

Match the example to the correct approach:

Put these steps in order for how a machine learning model is improved:

sorting items by colour using a fixed chart

turning on a light when a button is pressed

identifying objects in photos by learning from thousands of images

Which of these tasks is most suitable for machine learning?

AI systems can think and feel like humans.

AI systems have emotions and make decisions by themselves.

AI systems follow programmed rules or learn from data.

AI systems understand the world exactly as people do.

Which statement about artificial intelligence is correct?

What do we call technology that enables machines to perform tasks that seem intelligent or human-like?

Which of these is an example of a system that adjusts its recommendations based on your previous choices?

Both are designed to interact with users.

What feature do chatbot applications and voice assistants have in common?

systems that can perform tasks in ways that seem intelligent

a system that interacts with users through text or speech

software that identifies unusual or suspicious financial activity

technology that forecasts future atmospheric conditions using data

Match each term to its correct description:

requires manual programming for every suggestion

What is the main benefit of using AI in recommendation systems?

Which statement best describes an “application” in the context of AI?

Machine learning

Lesson outcome