Summary | Effects | Digital Divide | Computing Bias | Crowdsourcing | Legal/Ethical Concerns | Safe Computing |
Binary Search Algorithm | Lists and Filtering Algorithm | Simulation/Games and Random Algorithms | Big O and Algorithm Efficiency | Binary Base 2 Math + Logic Gates | Color Codes/Images/Base64 | Relevancy |
Computing Bias
Computing Bias Notes and Homework
Popcorn Hack #1
What is an example of Explicit Data?
B) You provide your name, age, and preferences when creating a Netflix account.
Popcorn Hack #2
What is an example of Data Bias?
B) A system is trained on a dataset where certain groups, such as people with darker skin tones, are underrepresented.
Popcorn Hack #3
What is an example of Unintentional Bias?
One person describes a biased scenario. Classmates guess whether it’s intentional or unintentional.
MCQ
Short-Answer Question
Explain the difference between implicit and explicit data. Provide an example of each
Explicit Data is information that a user intentionally provides. This data is typically given directly through forms, surveys, or user settings.
Example: When a user fills out a profile on a social media platform, selecting their interests, favorite music genres, or preferred language settings, this is explicit data because they are consciously providing the information.
Implicit Data is information that is gathered without direct user input, often inferred from user behavior or actions. This data is typically collected passively as a user interacts with a system.
Example: A music streaming service tracking which songs a user listens to most frequently and using that data to generate personalized recommendations. The user did not explicitly say, “I like these songs,” but their behavior suggests their preferences.