The Fight for Clearer Laws on Human Authorship
When AI participates in making a work, what did the human actually author? A response to Georgetown University Library’s current AI and copyright research.
Questions, experiments, observations, and positions that emerge from the work. The tools will change. The record should remain useful.
When AI participates in making a work, what did the human actually author? A response to Georgetown University Library’s current AI and copyright research.
AI makes it easy to create another version. The harder part is deciding what matters, remembering what was approved, and knowing when to move on.
OpenArt Director helped clarify why Atlas Observe exists: execution and authorship are not the same thing.
Generative filmmaking is moving directly into the timeline. That makes authorship, production memory, and creative intent matter even more.
Vibe directing can automate remarkable amounts of video production. Filmmaking still depends on creative intent, continuity, timing, performance, and memory.
If AI can operate production software itself, the question shifts from who executes the command to who remembers what the production means.
The boundary between a human performance and a machine-generated one — and the research question it opens for Project Luna.
AI agents are starting to sit above multiple generation platforms at once — evidence for separating creative authority from rendering capability.
A real performer, an approved performance, and a test of whether those choices can survive a change of AI video tool.