Code: E6
Explain how AI could be used to amplify societal biases.
Descriptors
Basic
What you learn at this level
Learners understand that biases can exist in the data used to train AI and can be perpetuated when humans design, develop and use AI systems.
With their teacher, learners explore different types of data that can be collected about a person (e.g. height, favourite colour). They note the nuances that data can capture effectively, but draw from their knowledge of each other to identify what is left out.
Intermediate
What you learn at this level
Learners explain how biased data or design choices (e.g. stereotyped content, misclassification, unequal recommendations) can lead AI systems to generate unfair or skewed outcomes for certain groups.
Learners explore how and why facial recognition technology performs differently across demographics and discuss possible real-world impacts when it is used for decision making in everyday life.
Advanced
What you learn at this level
Learners analyse how individuals, companies or institutions may build and deploy AI systems to serve particular interests and how these systems might shape opportunities, representations or public perceptions.
With a teacher, learners evaluate real-world examples of AI being used to influence an event (e.g. misinformation and disinformation on social media). Then they explore how an institution’s choices regarding AI use might benefit certain groups while having a negative effect on others.