Understanding AI Ethics and Culture

What is the Greek origin of the word 'ethics'?

• ethos

• pathos

• logos

• mythos

How does culture relate to ethics according to the transcript?

• Culture has no impact on ethical decisions.

• Ethics are solely determined by laws and regulations.

• Cultural practices are irrelevant to moral values.

• Culture influences ethics by shaping values and norms that determine right and wrong.

What is the significance of consent in data usage for AI?

• Consent is only necessary for marketing purposes.

• User consent is irrelevant in AI data processing.

• Consent is essential for ethical data usage in AI, ensuring user control and compliance with legal standards.

• Data usage in AI does not require any legal compliance.

What ethical principles has IBM established regarding AI?

• Innovation, complexity, compliance, and accessibility.

• Transparency, fairness, accountability, and privacy.

• Efficiency, bias, negligence, and security.

• Speed, accuracy, oversight, and collaboration.

Why is diversity and inclusivity important in AI ethics?

• AI systems should only reflect the views of the majority.

• Diversity and inclusivity are irrelevant to AI development.

• Diversity and inclusivity are important in AI ethics to reduce bias, promote fairness, and ensure that AI systems serve all users effectively.

• Ethics in AI is solely about technical performance.

What does the phrase 'AI ethics is a team sport' imply?

• AI ethics is solely the responsibility of tech companies.

• AI ethics requires collaboration among diverse stakeholders.

• AI ethics can be ignored if the technology is beneficial.

• AI ethics is only relevant to government regulations.

How can exclusion in AI development lead to elitism?

• Elitism in AI is solely caused by technological advancements.

• Diverse perspectives are irrelevant in AI development.

• Exclusion in AI development can lead to elitism by creating a divide that favors a select group, reinforcing power structures and limiting diverse perspectives.

• Exclusion in AI development promotes equal opportunities for all.

What mathematical model is mentioned in relation to variance and mean?

• Exponential distribution

• Binomial distribution

• Normal distribution

• Poisson distribution

How does the variance affect the standard mean in AI outcomes?

• Variance affects the reliability of the standard mean in AI outcomes by indicating the consistency of predictions.

• Variance is irrelevant to the standard mean calculations.

• Variance only affects the speed of AI processing.

• Variance has no impact on AI outcomes.

What are the potential consequences of using data without consent?

• Legal issues, loss of trust, reputational damage, and potential identity theft.

• Enhanced customer loyalty

• Improved marketing strategies

• Increased data accuracy