Final test & certificate

Choose the best answer for each question.

To pass: at least 8 of 10 correct.

1. Question 1. Why does AI in HR need special care?

   ABecause it uses electricityBBecause HR decisions touch people's livelihoods and opportunities — a high-risk domainCBecause AI is always slow

2. Question 2. What are the three main risk groups when using AI in HR?

   ABias, privacy, opacityBColor, font, speedCPrice, brand, advertising

3. Question 3. What is the main lesson from Amazon's AI hiring tool?

   AAI is always fairer than peopleBAI learns from past data; if the past is prejudiced, AI automates and amplifies that prejudiceCYou should never use AI

4. Question 4. Where does bias in HR AI usually come from?

   APast data, variable-selection design, and unsupervised useBOnly hardware faultsCOnly user typos

5. Question 5. Which characteristic must NOT be used to make HR decisions?

   AJob-related competence and experienceBGender, age, ethnicity, religion, health statusCMeasured work results

6. Question 6. What does 'human-in-the-loop' mean?

   AAI decides by itself, people don't participateBPeople review and make the final decision, AI only assistsCOnly people, no AI at all

7. Question 7. What are the three core principles for personal data?

   ACollect as much as possible, share widely, keep foreverBMinimization, clear purpose, securityCDon't worry about data

8. Question 8. When AI must analyze real HR data, what should you do first?

   APaste the raw identified dataBAnonymize: remove names, IDs, identifying information before analysisCSend it to as many people as possible

9. Question 9. What does transparency in HR AI use mean?

   ACompletely hide the use of AIBLet employees/candidates know when and to what extent AI is usedCOnly IT may know

10. Question 10. What should an AI-for-HR policy contain at minimum?

    AOnly tool namesBPermitted purposes, approved tools, human-in-the-loop, transparency, appeals, a responsible ownerCOnly an employee list