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• TLF-IDA003101

This lesson builds on How can an AI recognise what is sees? It focuses on image recognition that involves feature extraction, object detection and classification, and introduces the idea that computers store and use data using 0s and 1s.

• TLF-IDA003365

A hands-on activity to practise training and testing an artificial intelligence (AI) model, using cartoon faces, including a discussion about sources of potential algorithmic bias and how to respond to these sources.

• TLF-IDA003036

This video is the first of a series of 5 explainers on artificial intelligence. It discusses why it is a challenge for a computer to easily recognise one object from another. Discover how a machine learns using labelled images rather than following a specific set of rules and how AI connects with human learning.

• TLF-IDA003363

Sometimes we write and post things on social media in a hurry. Such posts can hurt people and even make them feel bullied. Wouldn't it be great if an Artificial Intelligence application could check our posts as we write them, and warn us if they were potentially hurtful?

• TLF-IDA003433

We use examples of home automation and recommender systems to go into more detail about how the AI in these systems work. We also look at filter bubbles and discuss why its important to be aware of potential issues of using these systems. This is the third video in a series. The first two in the series are Introduction ...

• TLF-IDA003333

This learning sequence explores text analysis through Natural Language Processing, a significant application of Artificial Intelligence. Teachers and students are led through a series of video tutorials to develop a Python program that can break down and analyse the content of a complete text and use smart sentiment analysis ...

• TLF-IDA003371

Discuss emotions as a class, and introduce the idea of artificial intelligence (AI). This lesson can also be used to introduce image classification – a key application of AI. Developed in collaboration with Digital Technologies Institute.

• TLF-IDA003335

Incorporating 11 tutorial videos and two informative lecture videos, this learning sequence explores natural language processing, a significant application of artificial intelligence. Teachers and students are led through the coding in Python of a chatbot, a conversational program capable of responding in varied ways to ...

• TLF-IDA003366

Artificial intelligence can sometimes be biased to certain shapes or colours. When such AI systems are applied to situations that involve people, then this bias can manifest itself as bias against skin colour or gender. This lesson explores bias in AI, where it comes from and what can be done to prevent it.

• TLF-IDA002264

Simon Collier, Digital Technologies in Focus Curriculum Officer, takes viewers though a lesson from the Digital Technologies Hub exploring how machine learning can be used to organise photographs.