Implement strict IAM permissions on AI Platform notebooks, limiting access to each instance to a single user or group, to enhance security but may limit collaboration.

Allocate a separate project for each data scientist to isolate their jobs, models, and versions, ensuring only they have access, which could lead to increased costs and management overhead.

Utilize labels to categorize resources descriptively. Assign a label to every resource, enabling users to filter and monitor resources by these labels, promoting scalability and collaboration.

Establish a BigQuery sink for Cloud Logging logs, filtered to record AI Platform resource usage details, and create a SQL view in BigQuery linking users to their resources, useful for monitoring but not for organization.

Combine the use of labels for organization and IAM permissions for security, offering a balanced approach between scalability, collaboration, and compliance.