Recommending AI Tools Ethically

End-of-lesson check

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

1. A friend asks you for an AI writing tool. Which approach best reflects ethical recommendation practice?

   1. Suggest the tool that works best for your own needs
   2. Send them a list of all AI writing tools you've heard of
   3. Ask about their specific use case before suggesting any tool
   4. Recommend the most popular AI writing tool you know of

2. You recently started a paid partnership with an AI image generator company. A coworker asks for your recommendation on image tools. What should you do?

   1. Disclose the partnership before making any recommendation
   2. Avoid answering the question entirely
   3. Recommend a different tool so you don't seem biased
   4. Recommend their tool since you know it well now

3. When recommending an AI tool you've had success with, what else should you communicate?

   1. Warn them about every possible issue you can think of
   2. Focus only on the positive aspects to avoid confusing the recipient
   3. Mention the tool's known limitations alongside its strengths
   4. Suggest they'll have the same experience you had

4. You've been recommending the same AI tool for months, but recent experience has shown it has significant flaws. What should you do?

   1. Continue recommending it since you already told people it was good
   2. Update your recommendation to reflect your evolved understanding
   3. Pretend nothing has changed to avoid admitting you were wrong
   4. Only mention the flaws if someone specifically asks

5. Someone you recommended an AI tool to reports it doesn't work for their situation. As an ethical recommender, what is your responsibility?

   1. Insist they must be using it incorrectly
   2. Avoid recommending anything to them in the future
   3. Accept accountability and help them find a better fit
   4. Tell them the tool works fine for most people

6. Which statement best describes why you should only recommend AI tools you've personally used for the same purpose?

   1. Using a tool yourself is required to legally recommend it
   2. It's unethical to profit from recommending untested tools
   3. You cannot authentically vouch for a tool's performance in contexts you haven't experienced
   4. People will know if you're lying about using the tool

7. Why can't you perfectly predict whether an AI tool will fit your friend's exact context?

   1. The tools change too quickly to know anything
   2. Your friends always lie about their actual needs
   3. AI tools work identically for everyone
   4. Everyone's needs, constraints, and workflows differ in ways you may not fully see

8. What is the danger of letting enthusiasm replace substantive evaluation when recommending AI tools?

   1. People prefer excited recommendations over careful ones
   2. Substantive evaluation kills the fun of discovering tools
   3. Enthusiasm can lead you to recommend tools that aren't actually suitable
   4. Enthusiasm makes recommendations more trustworthy

9. When presenting limitations of an AI tool, you should:

   1. Be honest about known issues without undermining the tool's legitimate strengths
   2. Hide limitations to increase the chance they'll try it
   3. Exaggerate limitations to protect yourself from accountability
   4. Focus only on limitations so they have realistic expectations

10. Someone asks for an AI tool recommendation with a very different background than yours. What's the ethical approach?

    1. Recommend the same tool you'd recommend to anyone
    2. Acknowledge the gap between your experience and their context
    3. Decline to help since you have different backgrounds
    4. Assume your needs are similar enough to theirs

11. If you recommend an AI tool that causes problems for someone, saying 'I didn't know it would do that' is:

    1. The company's responsibility, not yours
    2. Their fault for not researching it themselves
    3. An acceptable explanation since AI is unpredictable
    4. An inadequate response that doesn't fulfill your ethical duty

12. You should recommend nothing rather than recommend an AI tool when:

    1. You genuinely don't know enough to give a useful recommendation
    2. You want to avoid being held responsible
    3. You've never used any AI tools yourself
    4. The person hasn't done their own research

13. The concept of 'vouching' for an AI tool means:

    1. You are being paid to promote the tool
    2. You have used the tool more than ten times
    3. The tool company has verified your identity
    4. You are putting your own reputation behind the recommendation

14. A comprehensive ethical recommendation should include:

    1. A comparison of every available tool on the market
    2. Only the best features to make the decision easier
    3. A video demonstration of how to use the tool
    4. Strengths, limitations, your relevant experience, and any conflicts of interest

15. Your recommendation practices should evolve over time because:

    1. People prefer consistency over accuracy
    2. Once you recommend something, it never changes
    3. Tools never improve or get worse
    4. Your understanding deepens as you use tools more and see their real-world performance