Practice Algorithmic Bias (optimization Bias / Inductive Bias) (1.1.5) - Advanced ML Topics & Ethical Considerations (Weeks 14)
Students

Academic Programs

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

Engineering Courses
Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Certifications
Games

Interactive Games

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

Algorithmic Bias (Optimization Bias / Inductive Bias)

Practice - Algorithmic Bias (Optimization Bias / Inductive Bias)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is algorithmic bias?

💡 Hint: Think about discrimination in decisions made by AI.

Question 2 Easy

Define historical bias.

💡 Hint: Consider how society's past influences data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Algorithmic bias leads to A) Fair outcomes B) Unfair discrimination C) Increased diversity

A
B
C

💡 Hint: Think about how bias affects fairness.

Question 2

True or False: Historical bias can directly influence the performance of AI models.

True
False

💡 Hint: Consider past inequalities when thinking about the data.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a detailed strategy for mitigating algorithmic bias in a healthcare AI system.

💡 Hint: Consider the various stages of model development and deployment.

Challenge 2 Hard

Analyze how a specific AI system's design choices might lead to unintended biases.

💡 Hint: Evaluate choices that prioritize performance metrics ideally.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.