Final answer:
Creating a chain of command is not a standard security practice in machine learning. Security measures in the field typically include basic security education for all team members, threat modeling, and a robust data governance structure to safeguard the system.
Step-by-step explanation:
Among the options provided, creating a chain of command is not typically listed as a recommended security practice in machine learning. Developing a chain of command can be beneficial for managing a team and clarifying responsibilities, but it does not directly pertain to security measures in a technical sense. Recommended security practices in machine learning often include ensuring that all team members have a basic understanding of security, performing threat modeling to anticipate and mitigate potential security issues, and enacting a sound data governance structure to properly manage data access, quality, and integrity.
It is critical for teams working with machine learning to adopt robust security measures due to the sensitive nature of data being processed and the potential vulnerabilities in the machine learning pipeline. The focus on security helps protect against unauthorized access and misuse of the system, ensuring that the machine learning models remain reliable and trustworthy.