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)

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


Examine how digital systems form networks to transmit data


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


Explain how digital systems represent all data using numbers


Explain how and why digital systems represent integers in binary


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


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


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


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



Creative Commons Attribution 4.0, unless otherwise indicated.