NCA-GENL Question 214
Select 3An organization is planning to train a generative AI large language model (LLM) using user-generated text data. They aim to balance data privacy with the need for user consent. Which of the following practices best align with this goal?
- A
Implementing differential privacy mechanisms to obscure individual user data while retaining overall data patterns.
- B
Collecting user data without explicit consent but anonymizing it before training the model.
- C
Providing users with transparent information about how their data will be used and obtaining their explicit consent.
- D
Requiring users to waive their rights to data privacy in order to participate in the dataset.
- E
Ensuring compliance with regional data privacy laws, such as GDPR or CCPA, throughout the data collection and training process.
Show answer and explanation
Correct answers: A, C, E
Explanation
Balancing data privacy and user consent is critical when training generative AI models. Differential privacy helps protect individual user data, explicit consent ensures ethical and legal data use, and adhering to regulatory frameworks like GDPR or CCPA is necessary to maintain compliance. Together, these practices enable responsible AI development while respecting user rights.
- A. Correct.
Differential privacy mechanisms are a key tool for balancing data privacy and utility, as they allow models to learn from data without revealing details about individual contributors.
- B. Incorrect.
While anonymization is useful, collecting data without explicit consent violates ethical practices and regulatory requirements, making this an unsuitable approach.
- C. Correct.
Providing transparent information and obtaining explicit consent respects user autonomy and aligns with ethical AI practices.
- D. Incorrect.
Requiring users to waive their privacy rights is unethical and often non-compliant with legal frameworks, making this practice unsuitable.
- E. Correct.
Compliance with regional data privacy laws ensures that data collection and processing align with legal standards and best practices for user privacy.