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• TLF-IDM020269

It's cool to program robots to play football, but there are many more useful applications for programming robots to react to what they are seeing. What are some of the examples David McKinnon gives? Can you think of some more examples?

• TLF-IDA002275

Martin Richards manages the Digital Technologies Hub. He discusses the relationship between artificial intelligence and the Australian Curriculum: Digital Technologies. Martin also shows some useful resources for teachers.

• 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-IDA003368

This lesson plan enables students to explore how Natural Language Processing (NLP), a subset of Artificial Intelligence (AI), is used to assess and categorise a user’s online comments. (AI is the ability of machines to mimic human capabilities in a way that we would consider 'smart'.)

• 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-IDA002300

This newsletter from the Digital Technologies in Focus project includes information about schools' projects, assessment tasks, artifical intelligence (AI), the Australian Curriculum, useful links, and resources.

• TLF-IDA003370

Use the tasks in this lesson to introduce concepts that underpin artificial intelligence (AI). The majority of the tasks are unplugged (do not require a digital device). Use the downloadable AI cards with your students to explore what they know about AI.

• TLF-IDA003352

This lesson takes a systems thinking approach to understanding the place of artificial intelligence (AI) as a component within solutions to real world problems, such as predicting bushfire hotspots, spotting and monitoring animals in the wild, automated horticulture and agriculture, and early detection of medical issues.

• 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-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.