Professional Courses
Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Categories
Interactive Games
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Typing
Memory
Math
English Adventures
Knowledge
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does fairness in AI mean?
💡 Hint: Think about race and gender.
Question 2
Easy
Give an example of biased training data.
💡 Hint: Consider data from past hiring practices.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is a key objective of fairness in AI?
- To maximize profit
- To ensure impartial decision-making
- To simplify algorithms
💡 Hint: Think about the definitions we discussed.
Question 2
True or False: Biased training data can negatively affect AI outcomes.
- True
- False
💡 Hint: Consider the impact of discriminatory data.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an AI system for hiring that mitigates biases. Describe the data sources you would use and how you would ensure fairness.
💡 Hint: Think about including data that represents various genders and ethnicities.
Question 2
Critique a form of AI used in social media for content moderation. Identify potential biases in training data and suggest improvements.
💡 Hint: Reflect on past moderation decisions that weren’t inclusive.
Challenge and get performance evaluation