Popcorn Hack #1: Example: Google Translate shows gender bias by translating neutral phrases with stereotypical gender roles. Cause: Trained on biased data reflecting societal norms.
Popcorn Hack #2: Experience: A voice-to-text app struggled with my accent, making me feel excluded. Fix: Train with diverse accents or allow accent adjustments.
Popcorn Hack #3: Bias in Fitness App: Assumes all users have the same abilities, ignoring diverse needs. Fix: Add customizable goals, adaptive algorithms, and test with diverse groups.
Homework Hack: Tool: Amazon Bias: Amazon’s recommendations often show similar products based on past purchases, limiting exposure to new categories. Cause: The recommendation engine focuses too much on previous behavior, reinforcing a “filter bubble.” Fix: Add an “Explore New Categories” option to suggest diverse products or emerging brands. This could help users discover items they wouldn’t normally see and make the platform more inclusive.