ExamGecko
Question list
Search
Search

Question 50 - D-GAI-F-01 discussion

Report
Export

What impact does bias have in Al training data?

A.
It ensures faster processing of data by the model.
Answers
A.
It ensures faster processing of data by the model.
B.
It can lead to unfair or incorrect outcomes.
Answers
B.
It can lead to unfair or incorrect outcomes.
C.
It simplifies the algorithm's complexity.
Answers
C.
It simplifies the algorithm's complexity.
D.
It enhances the model's performance uniformly across tasks.
Answers
D.
It enhances the model's performance uniformly across tasks.
Suggested answer: B

Explanation:

Definition of Bias: Bias in AI refers to systematic errors that can occur in the model due to prejudiced assumptions made during the data collection, model training, or deployment stages.

Impact on Outcomes: Bias can cause AI systems to produce unfair, discriminatory, or incorrect results, which can have serious ethical and legal implications. For example, biased AI in hiring systems can disadvantage certain demographic groups.

Mitigation Strategies: Efforts to mitigate bias include diversifying training data, implementing fairness-aware algorithms, and conducting regular audits of AI systems.

asked 16/09/2024
juan manuel torrado
34 questions
User
Your answer:
0 comments
Sorted by

Leave a comment first