Filter bubbles, bias, rabbit holes and nudging

This lesson focuses on the AI systems that recommend content in various applications that students use on a day-to-day basis. It draws on students’ ethical understandings during analysis of these systems. This lesson was developed by the Digital Technologies Institute in collaboration with the Digital Technologies Hub.

Additional details

Year band(s) 9-10
Content type Lesson ideas
Format Web page
Australian Curriculum Digital Technologies code(s)

Follow, describe and represent a sequence of steps and decisions (algorithms) needed to solve simple problems


Develop techniques for acquiring, storing and validating quantitative and qualitative data from a range of sources, considering privacy and security requirements


Analyse and visualise data to create information and address complex problems, and model processes, entities and their relationships using structured data

Technologies & Programming Language​s Artificial Intelligence
Keywords Artificial Intelligence, AI, artificial, intelligence, problem solving, my computer brain, Recommender system, ethics, ethical issue, ethical behaviour



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