Practice Bias Type Description Example (2.1) - AI Ethics, Bias, and Responsible AI

Practice: Bias Type Description Example

Lesson 2.1AI Ethics, Bias, and Responsible AI

Practise this section

9 questions

Flashcard drill
4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What is data bias?
Show hintHide hint
Think about how data sets might not include all demographic groups.
Question 2.
Give an example of labeling bias.
Show hintHide hint
Consider how people might label images differently based on race.
3Question 3.
What is an example of data bias?
- An algorithm making decisions based on complete and diverse data
- An algorithm failing to recognize older adults
- None of the above
Show hintHide hint
Think about how the AI's limitations relate to the input data.
4Question 4.
True or False: Labeling bias can influence the outcomes of AI models.
- True
- False
Show hintHide hint
Consider how subjective opinions might change data interpretation.
Question 5.
Discuss the long-term implications of deploying an AI tool that reflects existing social biases in job recruitment.
Show hintHide hint
Consider the social dynamics involved in hiring and how that reflects larger societal structures.
Question 6.
Propose a strategy for mitigating data bias in healthcare AI systems.
Show hintHide hint
Think about how one might collect data differently to be more inclusive.

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