For artists, producers, and managers who want to use AI for release admin without risking their IP. Learn to classify sensitive data, redact private contracts, and set agent guardrails to protect your masters.
What you will be able to do
- Sort materials by sensitivity: Classify your release assets by sensitivity level to decide which data is safe for external tools. You will match specific assets to appropriate AI tools based on your team's privacy needs.
- Clean contracts and personal data: Redact contributor personal details and private contract clauses before inputting documents into external AI tools. This ensures sensitive legal and personal data stays outside of tools you don't control.
- Secure your unreleased masters: Configure AI agent settings to strictly restrict access to unreleased masters. You will define clear boundaries for what an agent is allowed to read versus what it is permitted to modify.
- Manage consent and payment: Apply the derivative vs generic framework to distinguish between types of AI outputs. You will determine exactly when artist consent and payment are required for specific generated assets.
- Prevent version control errors: Set guardrails to ensure agents log new versions without overwriting approved masters. You will create a workflow that isolates duplicate assets for human review to prevent costly release errors.
- Verify credits and permissions: Build a release record that traces credits and permissions back to supplied records. You will learn to spot and remove AI-generated facts to ensure contributor credits are accurate.
Taught at learn.c-o-u-r-s-e-s.com: lessons that adapt to your level, an AI tutor you can ask anything, quizzes and flashcards, and a certificate when you finish.
