Practice Avoid Bias In Ai-based Decision-making (5.2) - HR Analytics & Data-Driven Decision Making

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9 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is AI Bias?
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Think about how AI learns from historical data.
Question 2.
Name one regulation aimed at data protection.
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One is from Europe, the other from the United States.
3Question 3.
What is the main concern related to AI in HR?
- Increased efficiency
- Bias
- Lower costs
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Think about the implications of using historical data.
4Question 4.
True or False: Transparency in AI usage can help prevent bias.
- True
- False
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Consider how understanding processes can influence fairness.
Question 5.
Develop a detailed action plan for your organization to address and mitigate bias in recruitment AI tools.
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Think of the steps needed to assess and adjust your current systems.
Question 6.
Analyze a case study where bias in AI impacted a company’s hiring process. What corrective actions could have been taken?
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Focus on both the failures and potential improvements.

5 more questions in this section. Enroll free to practise them all.