Understanding AI Ethics

What is the primary ethical concern regarding AI decision-making?

• Increased efficiency in decision-making.

• Reduction of human oversight in AI systems.

• Bias in algorithms leading to unfair treatment.

• Enhanced transparency in AI processes.

How can bias in AI algorithms impact society?

• Bias in AI algorithms can lead to discrimination and perpetuate societal inequalities.

• Bias in AI algorithms is only a technical issue, not a social one.

• Bias in AI algorithms has no effect on society.

• Bias in AI algorithms can improve decision-making processes.

What role does transparency play in AI ethics?

• Transparency is only necessary for regulatory compliance.

• Transparency is irrelevant to AI development.

• Transparency is essential for building trust and accountability in AI systems.

• Transparency complicates the AI decision-making process.

Why is accountability important in AI development?

• Accountability is crucial in AI development to ensure responsible use, promote transparency, and build trust.

• Accountability is only necessary for human resources.

• Accountability is irrelevant in AI development.

• Accountability hinders innovation in AI.

How can we ensure that AI respects user privacy?

• Implement data anonymization, access controls, clear privacy policies, user opt-out options, and regular audits.

• Allow unrestricted data access for AI

• Disable user opt-out options

• Use vague privacy policies