Practice Risks, Limitations, And Ethical Concerns (15.5) - Modern Topics – LLMs & Foundation Models
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Risks, Limitations, and Ethical Concerns

Practice - Risks, Limitations, and Ethical Concerns

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is bias in AI?

💡 Hint: Think about how data may reflect societal views.

Question 2 Easy

Define hallucination in the context of LLMs.

💡 Hint: Consider what happens when models output incorrect information.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main risk associated with bias in AI?

Reinforcing stereotypes
Reducing processing speed
Improving accuracy

💡 Hint: Consider the societal implications.

Question 2

True or False: LLMs do not produce hallucinations.

True
False

💡 Hint: Think about what 'hallucination' means in this context.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Analyze a recent real-world incident where AI bias caused harm. Suggest ways such situations could be prevented.

💡 Hint: Look for high-profile cases that made headlines.

Challenge 2 Hard

Evaluate how one could implement an auditing framework to ensure LLM transparency. What key elements would it include?

💡 Hint: Consider what researchers and users need for accountability.

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Reference links

Supplementary resources to enhance your learning experience.