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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 legal risks of using personal data for model training
The benefits of sharing data externally
How to market a new software product
The technical steps for building an AI model
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?
Only anonymized data without exception
A public announcement in the newspaper
Clear consent or a legal basis
Approval from external data vendors
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 is not relevant to legal compliance
It can only be used after external sharing
It reduces risk but must be thorough
It removes all legal risk completely
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 ask for a technical definition of data training
To check whether transparency is legally required
To suggest ignoring privacy rules
To confirm that sharing data is always safe
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 could share data externally without restrictions
It would no longer need any policies
It would avoid the need for user transparency
It would likely reduce legal risk and improve compliance
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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