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.
|Content type||Lesson ideas|
|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 Languages||Artificial Intelligence|
|Keywords||Artificial Intelligence, AI, artificial, intelligence, problem solving, my computer brain, Recommender system, ethics, ethical issue, ethical behaviour|
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