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Title
Introduction to the role of algorithms
Student list of experiences
Title
Algorithms are like recipes
Define algorithm
Machine learning
Define training data
Black box problem
Explain training data bias
How algorithms work
Explain search engine algorithms
Bias in search algorithms
Identifying the least biased search
Title
The attention economy
Reorder attention economy steps
Addicting and engaging content
Costs of the attention economy
How suggestion algorithms change you
Title
Celebrity clones
Reducing harmful content
Filter bubbles
Match filter bubble and rabbit hole
Reflect on feedback loops
Amplifying bias
Bias from training data
Title
Meet Gen
Explain generative AI inaccuracies
AI image generators
Explain AI images and harmful stereotypes
Future AI concerns and developments
Connect AI problems to algorithmic harms
Argue risks and benefits of AI
Title
Steps you can take
List actions
Make an algorithm plan
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AI image generators learning racist and sexist associations, and then strengthening those stereotypes by amplifying them to their users, is an example of ...
Select the 2 that apply
A rabbit hole
A feedback loop
A filter bubble
Algorithmic bias