6 lessons · about 2 h

Keeping Unreleased Story, Performer Data and Likeness Rights Safe With AI

For Filmmakers, producers, editors and production teams coordinating a story across development, planning and post-production

You can set clear rules for what material goes into which AI tools and check likeness and voice permissions before any AI use of a performer.

$47.00

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  • Taught one-on-one by an AI tutor, at your level, typed or out loud
  • Quizzes, flashcards and a certificate when you finish
  • Ready at learn.c-o-u-r-s-e-s.com as soon as you pay; the email tells you how to sign in

For producers and production teams who need a formal protocol to protect unreleased scripts and crew records while verifying performer likeness and voice consent before using AI tools.

What you will be able to do

  • Establish strict data boundaries: Categorize production materials into safe and restricted groups. You will write specific handling rules for unreleased scripts and private crew records to prevent sensitive data from leaking into AI tools.
  • Verify performer likeness rights: Implement a mandatory consent check for the voice and likeness of every performer. You will identify the exact sign-off required before any altered frames or synthetic elements are used in production.
  • Configure AI agent authority: Define explicit remits and 'hard lines' for your AI agents. You will specify the edges of an agent's authority to ensure the machine never makes a critical decision without human intervention.
  • Manage IP and likeness exclusions: Distinguish between licensed character IP and individual talent likenesses. You will learn to list necessary exclusions when negotiating tool access to protect individual performer rights from IP licenses.
  • Create financier-ready audits: Build a detailed record of every AI touchpoint. You will map the flow of AI-assisted changes from script to post, providing financiers with a clear audit of who signed off on generated material.
  • Enforce human-in-the-loop gates: Identify and implement 'hard stops' in your AI pipeline. You will validate that AI-generated changes never silently overwrite accepted work, ensuring a person always makes the final production call.

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.

See the full course page, with every lesson →