2026

Artificial Intelligence & Machine Learning

Responsible AI Fundamentals Quiz

Test your basic knowledge of ethical principles guiding artificial intelligence development.

#machine learning#data privacy#AI ethics#responsible AI#bias mitigation#transparency#fairness

Quiz Intelligence

Total Questions

9

Difficulty Level

easy

Progress

0/0

0%

Quiz Questions

Answer all questions below and test your knowledge.

1
Which principle calls for AI systems to be clear about how they reach decisions?
Question 1
2
What term describes unfair advantage that arises when training data reflects historical prejudice?
Question 2
3
In AI development, obtaining consent from individuals whose data is used is an aspect of which ethical concern?
Question 3
4
Which ethical guideline encourages developers to take responsibility for harms caused by AI?
Question 4
5
Which practice involves removing identifying details from datasets to protect individuals?
Question 5
6
When an AI system is designed to treat all users equally, it is aiming for which value?
Question 6
7
What is the name of a method that tests AI behavior on unseen scenarios to reveal hidden issues?
Question 7
8
Which document outlines how an organization plans to address ethical risks in AI projects?
Question 8
9
Providing users with a simple explanation of why an AI made a recommendation supports which principle?
Question 9

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Responsible AI Fundamentals Quiz

Quiz Intelligence

Quiz Questions

Which principle calls for AI systems to be clear about how they reach decisions?

What term describes unfair advantage that arises when training data reflects historical prejudice?

In AI development, obtaining consent from individuals whose data is used is an aspect of which ethical concern?

Which ethical guideline encourages developers to take responsibility for harms caused by AI?

Which practice involves removing identifying details from datasets to protect individuals?

When an AI system is designed to treat all users equally, it is aiming for which value?

What is the name of a method that tests AI behavior on unseen scenarios to reveal hidden issues?

Which document outlines how an organization plans to address ethical risks in AI projects?

Providing users with a simple explanation of why an AI made a recommendation supports which principle?