Pushing Back Against AI Recommendation Systems

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-ethics-AI-and-recommendation-system-pushback-creators

1. What is the core idea behind "Pushing Back Against AI Recommendation Systems"?

   1. AI recommendation systems shape what you see. Pushing back actively shapes what they show you back.
   2. employee handbook
   3. Substitute for parental consent flows
   4. Never share passwords — not even pieces of them.

2. Which term best describes a foundational idea in "Pushing Back Against AI Recommendation Systems"?

   1. algorithmic
   2. recommendations
   3. pushback
   4. employee handbook

3. A learner studying Pushing Back Against AI Recommendation Systems would need to understand which concept?

   1. recommendations
   2. pushback
   3. algorithmic
   4. employee handbook

4. Which of these is directly relevant to Pushing Back Against AI Recommendation Systems?

   1. recommendations
   2. algorithmic
   3. employee handbook
   4. pushback

5. Which of the following is a key point about Pushing Back Against AI Recommendation Systems?

   1. Use platform feedback (not interested, hide, mute)
   2. Diversify your inputs deliberately
   3. Notice when AI is steering you somewhere
   4. Engage the conversation about algorithmic harm

6. Which of these does NOT belong in a discussion of Pushing Back Against AI Recommendation Systems?

   1. Diversify your inputs deliberately
   2. employee handbook
   3. Use platform feedback (not interested, hide, mute)
   4. Notice when AI is steering you somewhere

7. Which statement is accurate regarding Pushing Back Against AI Recommendation Systems?

   1. Eliminate the algorithm's influence
   2. Substitute personal practice for systemic reform
   3. Solve algorithmic harm through individual action alone
   4. employee handbook

8. What is the key insight about "Recommendation pushback practices" in the context of Pushing Back Against AI Recommendation Systems?

   1. employee handbook
   2. Substitute for parental consent flows
   3. Never share passwords — not even pieces of them.
   4. Design personal practices to push back against recommendation systems.

9. What is the key insight about "Pushback is partial" in the context of Pushing Back Against AI Recommendation Systems?

   1. Personal pushback helps. Systemic reform of recommendation systems requires collective and policy work.
   2. employee handbook
   3. Substitute for parental consent flows
   4. Never share passwords — not even pieces of them.

10. Which statement accurately describes an aspect of Pushing Back Against AI Recommendation Systems?

    1. employee handbook
    2. Recommendation systems shape perception; active pushback shapes them back.
    3. Substitute for parental consent flows
    4. Never share passwords — not even pieces of them.

11. Which best describes the scope of "Pushing Back Against AI Recommendation Systems"?

    1. It is unrelated to ethics workflows
    2. It applies only to the opposite beginner tier
    3. It focuses on AI recommendation systems shape what you see. Pushing back actively shapes what they show you back.
    4. It was deprecated in 2024 and no longer relevant

12. Which section heading best belongs in a lesson about Pushing Back Against AI Recommendation Systems?

    1. employee handbook
    2. Substitute for parental consent flows
    3. Never share passwords — not even pieces of them.
    4. What AI does well here

13. Which section heading best belongs in a lesson about Pushing Back Against AI Recommendation Systems?

    1. What AI cannot do
    2. employee handbook
    3. Substitute for parental consent flows
    4. Never share passwords — not even pieces of them.

14. Which of the following is a concept covered in Pushing Back Against AI Recommendation Systems?

    1. algorithmic
    2. recommendations
    3. pushback
    4. employee handbook

15. Which of the following is a concept covered in Pushing Back Against AI Recommendation Systems?

    1. recommendations
    2. pushback
    3. algorithmic
    4. employee handbook