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Listening Quiz: Thảo Luận Tại Hội Đồng Đạo Đức AI – Medium Level
Th10 1, 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 purpose of the conversation?
To announce that the AI project has been approved
To train employees on how to use a new software tool
To discuss ethical concerns and safety measures for an AI project
To compare different AI products for business use
Explanation:
The speakers discuss privacy, bias, transparency, human oversight, and drafting safety guidelines for the AI project, which shows the main purpose is to review its ethical issues and safeguards.
2.
According to Emma, what should be done to help ensure data privacy?
Use only public data sources
Remove all public feedback options
Limit data access strictly
Share data with all team members
Explanation:
Emma says, ‘We should limit data access strictly,’ in response to John’s question about data privacy.
3.
What does Emma say is needed to reduce bias in the AI’s results?
Fewer guidelines
Diverse data sources
More human oversight
Public approval before each decision
Explanation:
Emma answers John’s question about bias by saying, ‘We need diverse data sources.’
4.
Why does Emma say that transparency builds trust?
Because it helps people understand how the project is being handled
Because it eliminates the need for human oversight
Because it guarantees the AI will never make mistakes
Because it replaces the need for data privacy
Explanation:
Emma says yes to including public feedback and adds that transparency builds trust, which reasonably implies that openness helps people trust the project.
5.
What do John and Emma decide to do at the end of the conversation?
Invite more public feedback before reviewing anything
Cancel the AI project
Stop collecting data immediately
Draft guidelines for safety
Explanation:
The conversation ends with Emma saying, ‘Let’s draft guidelines for safety,’ and John agreeing that they need clear rules.
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