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Data bias in AI

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.

Additional details

Year band(s) 5-6, 7-8
Content type Lesson ideas
Format Web page
Core and overarching concepts Digital systems, Data representation, Specification (decomposing problems), Impact and interactions
Australian Curriculum Digital Technologies code(s)
AC9TDI6K01   

Investigate the main internal components of common digital systems and their function

AC9TDI6K02   

Examine how digital systems form networks to transmit data

AC9TDI8K02   

Investigate how data is transmitted and secured in wired and wireless networks including the internet

AC9TDI6K03   

Explain how digital systems represent all data using numbers

AC9TDI8K04   

Explain how and why digital systems represent integers in binary

AC9TDI6P01   

Define problems with given or co developed design criteria and by creating user stories

AC9TDI8P04   

Define and decompose real-world problems with design criteria and by creating user stories

AC9TDI6P06   

Evaluate existing and student solutions against the design criteria and user stories and their broader community impact

AC9TDI8P10   

Evaluate existing and student solutions against the design criteria, user stories and possible future impact
Technologies & Programming Language​s Artificial Intelligence
Keywords Artificial Intelligence, AI, artificial, intelligence, teachable machine, smart phone, algorithms, problem solving, digital systems, Scratch, Lesson idea, Lesson plan, Digital Technologies Institute, data bias
Organisation

ESA
Copyright

Creative Commons Attribution 4.0, unless otherwise indicated.

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