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Listening Quiz: Rủi Ro Pháp Lý Khi Sử Dụng Dữ Liệu Cá Nhân Để Huấn Luyện Mô Hình – Advanced Level
Th7 19, 2025
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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 Emma and David’s conversation?
The technical steps for building an AI model
How to market a new software product
The legal risks of using personal data for model training
The benefits of sharing data externally
Explanation:
The conversation focuses on legal risks, data protection laws, consent, anonymization, transparency, contracts, and compliance when using personal data for model training.
2.
According to David, what is required to use personal data for training under GDPR?
A public announcement in the newspaper
Only anonymized data without exception
Approval from external data vendors
Clear consent or a legal basis
Explanation:
David says GDPR allows using personal data for training only with clear consent or a legal basis.
3.
What does David say about anonymized data?
It removes all legal risk completely
It reduces risk but must be thorough
It can only be used after external sharing
It is not relevant to legal compliance
Explanation:
David explains that anonymized data reduces risk, but the anonymization must be thorough.
4.
Why does Emma ask, “Should we inform users about data usage?”
To confirm that sharing data is always safe
To check whether transparency is legally required
To ask for a technical definition of data training
To suggest ignoring privacy rules
Explanation:
Her question is about whether users need to be informed, and David responds that transparency is legally required.
5.
What can be inferred about the company’s approach if it follows David’s advice?
It would likely reduce legal risk and improve compliance
It would no longer need any policies
It would avoid the need for user transparency
It could share data externally without restrictions
Explanation:
David says limiting data use, strong contracts, transparency, strict policies, and regular audits all help reduce legal risks and support compliance.
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