NCA-GENL Question 211
Select 3A company is developing a generative AI model to provide personalized health recommendations. The training dataset includes sensitive health information from users. What practices should the company follow to maintain a balance between data privacy and data consent?
- A
Obtain explicit consent from users before collecting and using their data for training the AI model.
- B
Anonymize or pseudonymize the data to minimize the risk of identifying users.
- C
Assume consent is implied if users interact with the company’s platform, eliminating the need for explicit consent.
- D
Clearly outline in the company’s privacy policy how user data will be used, and provide an option to opt-out.
- E
Store user data indefinitely to enable continuous improvement of the AI model.
Show answer and explanation
Correct answers: A, B, D
Explanation
To balance data privacy and consent, organizations must prioritize explicit user consent, anonymize data where possible, and maintain transparency about data usage. These practices ensure ethical handling of sensitive data while complying with privacy regulations and fostering user trust. Assuming implied consent or retaining data indefinitely violates these principles and risks user privacy.
- A. Correct.
Obtaining explicit consent ensures users are fully aware of and agree to how their sensitive information will be used, which is a critical step in balancing privacy and consent.
- B. Correct.
Anonymizing or pseudonymizing data reduces the likelihood of exposing identifiable information, safeguarding user privacy.
- C. Incorrect.
Assuming consent without explicit confirmation violates ethical practices and user trust, undermining the balance between privacy and consent.
- D. Correct.
Providing transparency in privacy policies and offering opt-out options enable users to make informed decisions about their data, aligning with best practices for data consent.
- E. Incorrect.
Storing data indefinitely introduces risks of misuse and breaches, and it goes against the principle of data minimization, which is crucial for maintaining privacy.