Quiz: Module 9 - Ethics and Best Practices
Test your knowledge with 30 multiple-choice questions.
Questions 1-10: Responsible AI Use
Q1: What is transparency in AI use?
- A) Making AI invisible
- B) Being clear about when AI generates content
- C) Hiding AI involvement
- D) Only using AI privately
Answer: B - Transparency means disclosing AI involvement in content creation.
Q2-10 Answers
Q2: C (Verify important claims), Q3: A (Don't share sensitive data), Q4: B (Human oversight required), Q5: C (Appropriate: drafting with review), Q6: A (Inappropriate: final decisions alone), Q7: B (Augment not replace humans), Q8: C (Accountability with humans), Q9: A (Privacy protection), Q10: B (Fairness principle)
Questions 11-20: Avoiding Biases
Q11: What causes AI bias?
- A) Only training data
- B) Training data, prompt wording, and sampling
- C) User preferences only
- D) Model architecture only
Answer: B - Bias comes from training data, prompt wording, sampling, and confirmation bias.
Q12-20 Answers
Q12: C (Use neutral wording), Q13: A (Include diverse examples), Q14: B (Request balanced perspectives), Q15: C (Review outputs for bias), Q16: A (Avoid leading questions), Q17: B (Multiple viewpoints), Q18: C (Stereotype avoidance), Q19: A (Underrepresented perspectives), Q20: B (Bias checklist)
Questions 21-30: Security and Prompt Injection
Q21: What is prompt injection?
- A) Adding prompts
- B) Malicious input manipulating AI behavior
- C) Improving prompts
- D) Prompt formatting
Answer: B - Prompt injection is when malicious input manipulates AI to ignore instructions or perform unintended actions.
Q22-30 Answers
Q22: C (Treat user input as untrusted), Q23: A (Input validation), Q24: B (Strong instruction hierarchy), Q25: C (Output filtering), Q26: A (Separate data and instructions), Q27: B (Hide system prompts), Q28: C (Regular security testing), Q29: A (Rate limiting), Q30: B (Logging and monitoring)