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Listening Quiz: Thảo Luận Về Hàm Ý Đạo Đức Của Các Dự Đoán Từ Mô Hình – Advanced Level
Th2 18, 2024
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà khoa học dữ liệu (English for Data Scientist)
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1.
What is the main topic of the conversation?
Robert is training a model with new marketing data
The leadership is evaluating the team’s report
Olivia and Robert are discussing possible bias in a model and how to address it
The team is choosing a new project timeline
Explanation:
The conversation focuses on concerns that the model may be biased, the impact of underrepresented data, and steps to fix the issue.
2.
What problem does Olivia say the model might have?
It does not have enough computing power
It is too slow to make predictions
It produces too many duplicate results
It may be biased against some groups
Explanation:
Olivia says, ‘The model might be biased against some groups.’
3.
What does Olivia suggest doing to fix the issue?
Changing the leadership team
Delaying all decisions until next month
Collecting more balanced data and retraining the model
Removing the model from the project
Explanation:
Olivia says they can ‘collect more balanced data and retrain the model.’
4.
What can be inferred about the current training data?
It includes equal representation from all groups
Some groups are not represented enough
It was collected only for reporting purposes
It has already been reviewed by leadership
Explanation:
Olivia says there is not enough diverse data and that some groups are underrepresented, which implies the current training data is not balanced.
5.
Why does Olivia say, ‘Transparency is important for trust’?
To show that the model is already fair
To suggest the report should be kept private
To argue that the project should be canceled
To explain why leadership should be informed about the issue
Explanation:
Olivia responds ‘Absolutely’ to informing leadership and then explains that transparency is important for trust, showing she wants the issue shared openly.
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