Practice Identify Potential Sources Of Bias (if Applicable) (4.1.4) - Advanced ML Topics & Ethical Considerations (Weeks 14)
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Identify Potential Sources of Bias (if applicable)

Practice - Identify Potential Sources of Bias (if applicable)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define historical bias in machine learning.

💡 Hint: Think about how past decisions can influence AI.

Question 2 Easy

What is representation bias?

💡 Hint: Consider how diversity in training data affects outcomes.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is historical bias?

An intentional act of bias
Past prejudices affecting data
A design flaw in algorithms

💡 Hint: Think about how data is drawn from past events or trends.

Question 2

True or False: Representation bias occurs only in historical contexts.

True
False

💡 Hint: Consider when data collection is skewed.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider a machine learning algorithm trained to predict loan approval that uses historical lending data. How might historical bias manifest in its predictions?

💡 Hint: Think about the history of lending practices and how they affect modern decisions.

Challenge 2 Hard

A school wants to implement an AI system to recommend scholarships to students. What steps should they take to ensure fairness in the model's training?

💡 Hint: Consider how a balance of demographic representation is vital in education.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.