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AI image recognition - exploring limitations and bias

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.

Additional details

Year band(s)	5-6, 7-8
Content type	Lesson ideas
Format	Web page
Core and overarching concepts	Abstraction, Specification (decomposing problems), Algorithms, Implementation (programming), Privacy and security, Impact and interactions
Australian Curriculum Digital Technologies code(s)	AC9TDI6P01 Define problems with given or co developed design criteria and by creating user stories AC9TDI6P02 Design algorithms involving multiple alternatives (branching) and iteration AC9TDI6P05 Implement algorithms as visual programs involving control structures, variables and input AC9TDI6P06 Evaluate existing and student solutions against the design criteria and user stories and their broader community impact AC9TDI8P01 Acquire, store and validate data from a range of sources using software, including spreadsheets and databases AC9TDI8P04 Define and decompose real-world problems with design criteria and by creating user stories AC9TDI8P05 Design algorithms involving nested control structures and represent them using flowcharts and pseudocode AC9TDI8P09 Implement, modify and debug programs involving control structures and functions in a general-purpose programming language AC9TDI8P10 Evaluate existing and student solutions against the design criteria, user stories and possible future impact
Technologies & Programming Languages	Artificial Intelligence
Keywords	Artificial Intelligence, AI, artificial, intelligence, teachable machine, data representation, algorithms, problem solving, digital systems, Scratch, Lesson idea, Lesson plan
Organisation	ESA
Copyright	Creative Commons Attribution 4.0, unless otherwise indicated.