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) |
ACTDIP004
Follow, describe and represent a sequence of steps and decisions (algorithms) needed to solve simple problems
ACTDIP036
Develop techniques for acquiring, storing and validating quantitative and qualitative data from a range of sources, considering privacy and security requirements
ACTDIP037
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 |
Organisation | ESA |
Copyright | Creative Commons Attribution 4.0, unless otherwise indicated. |
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