Question

Which of the following is a recommended security practice for machine learning datasets?

A: Ensure your team is full of different perspectives
B: Perform threat modeling with beneficial algorithms
C: Create a chain of command
D: Enact a sound data governance structure

Answer 1

Option D: Enact a sound data governance structure, perform threat modeling, and ensure a diverse team are recommended security practices for machine learning datasets.

Step-by-step explanation:

One recommended security practice for machine learning datasets is to enact a sound data governance structure. This involves establishing policies and procedures for collecting, storing, and handling data to ensure its security and integrity. Data governance includes measures such as access controls, encryption, and regular audits to protect the dataset from unauthorized access or tampering.

Another recommended practice is to perform threat modeling to identify potential vulnerabilities and risks in the dataset. By understanding the threats that can compromise the dataset's security, appropriate security controls and countermeasures can be implemented to mitigate these risks.

It is also important to ensure your team is full of different perspectives. This means having a diverse team with individuals who bring different experiences, backgrounds, and expertise. This diversity can help identify potential biases or blind spots in the dataset, leading to more robust and fair machine learning models.