Computer Science

the ability to “learn” and adapt to new situations

putting something to use, or a thing that is being used for a specific purpose

Introduction to AI

Machine learning

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

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 algorithms use data to identify patterns and make guesses about the future

a type of artificial intelligence (AI) designed to generate content, such as text, images or sound

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

dealing with various issues that are commonly found in raw data sets, such as missing data, duplicated records and outliers

a form of machine learning where the model is trained using labelled data

a form of machine learning where the model is trained on an unlabelled data set — the model is designed to detect patterns, hidden relationships or structures within the data

a predefined group used to organise data that machine learning (ML) developers use to train classification models

each piece of data is annotated with one or more labels which provide information about that data

a type of ML engine that makes predictions by splitting data into branches using conditions

a type of ML engine consisting of interconnected nodes, organised in layers, that is trained to find patterns in data

an AI tool that produces pictures from a prompt using patterns it has identified in large collections of existing images

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Data science: AI and machine learning

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