Introduction to Guiding Principles of Responsible AI

The video discusses the guiding principles for responsible AI, emphasizing their importance in designing models and algorithms that impact millions. It highlights AI's pervasive role in society and explains six key principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. The video also warns of the negative consequences of ignoring these principles, using examples of racial bias in healthcare algorithms.

Why is it important to understand the guiding principles of responsible AI?

• They are only relevant for technical exams.

• They help in designing models that impact millions of people.

• They are not necessary for AI development.

• They are only philosophical concepts with no practical use.

Which of the following is NOT one of the six principles of responsible AI?

• Reliability and Safety

• Transparency

• Fairness

• Profitability

What does the principle of 'fairness' in AI emphasize?

• Making AI systems complex

• Ensuring data is kept private

• Treating all individuals equally

• Maximizing profits for companies

How does the principle of 'reliability and safety' impact AI systems?

• It ensures systems are profitable.

• It focuses on user interface design.

• It makes systems more complex.

• It guarantees systems are safe to use.

What is the main focus of the 'privacy and security' principle?

• Making data publicly available

• Ignoring data privacy

• Sharing data with third parties

• Securing sensitive data

What can happen if AI principles are not followed, as illustrated by the healthcare algorithm example?

• AI systems will become more efficient.

• There will be no impact on society.

• Millions of people can be negatively affected.

• AI will only affect a small group of people.

What was a significant issue found in the healthcare algorithm example?

• It improved healthcare for all.

• It discriminated against black people.

• It was not used widely.

• It was too expensive to implement.