Computer Science

when something is unfair towards or against something or someone

the right to keep personal data safe and control who can see or use it

being clear about how AI works and explains its decisions

Social and ethical issues of AI systems

Introduction to AI

Machine learning

Predictive vs generative AI

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

Which of the following is a social concern related to the use of AI?

What is the term for when an AI system treats some groups unfairly due to patterns in its training data?

the right to keep personal information safe

when some people have more opportunities than others

Privacy is an important ethical concern with AI.

AI can increase job opportunities for everyone.

Not everyone has equal access to AI tools.

Which of the following statements is False?

Why might an AI system be unfair in its decisions?

What term is used for realistic but fake videos or images created using artificial intelligence techniques?

It identifies patterns in data to make predictions.

Which statement best describes how predictive AI works?

Generative AI is most useful for which of the following tasks?

Arrange these stages for generative AI producing a new image:

Which of these is not a typical use for predictive AI?

repeated arrangement found in information

This lesson will be removed by end of Summer Term 2025.

Social and ethical issues of AI systems

Lesson outcome

This lesson will be removed by end of Summer Term 2025.