Artificial Intelligence: Fundamentals of AI Ethics Quiz

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1. 1

   What is AI bias?

   A The computational speed of AI algorithms. B Unfair treatment or discrimination resulting from prejudiced data or algorithms. C The ability of AI to learn over time.
2. 2

   Why is transparency in AI systems important?

   A To build trust and ensure accountability in decision-making processes. B To decrease the speed of processing data. C To make the AI systems more entertaining.
3. 3

   What does 'explainability' mean in the context of AI?

   A The efficiency of data storage in AI models. B The speed at which AI systems operate. C The ability to interpret and explain how decisions are made by AI systems.
4. 4

   What is the 'black box' problem in AI?

   A Difficulty in understanding the internal workings of complex AI systems. B A method for cleaning data before processing. C A collection of useful AI tools and resources.
5. 5

   What is the purpose of an AI ethics board?

   A To enhance the technical capabilities of AI. B To oversee AI development and ensure ethical standards are met. C To limit AI applications entirely.
6. 6

   What is one potential risk of AI in decision-making?

   A AI systems making biased or incorrect decisions without human oversight. B AI systems decreasing in processing power over time. C AI systems causing network outages due to high power usage.
7. 7

   Why is data privacy important in AI?

   A It improves AI processing speeds. B It reduces the complexity of AI algorithms. C It protects individuals' personal information and prevents misuse.
8. 8

   How can AI ethical frameworks benefit society?

   A By guiding responsible AI development and application, ensuring safety and fairness. B By making AI more entertaining. C By enhancing data processing speed.
9. 9

   What role does human oversight play in AI systems?

   A Ensures accountability and addresses unexpected AI behaviors. B Increases AI algorithm complexity. C Eliminates the risk of AI system failures.
10. 10

    What is the significance of fairness in AI?

    A It optimizes AI performance. B It ensures equitable treatment of individuals in AI decision-making processes. C It reduces development costs.