Name: Who Gets Credit When AI Shares the Work? A Provenance Conversation
Start: 2026-10-08T17:30:00-0400
End: 2026-10-08T18:00:00-0400

All sessions are available online except round tables, special activities, and workshops.

Who Gets Credit When AI Shares the Work? A Provenance Conversation

Thursday October 8, 2026 5:30pm - 6:00pm EDT

4 Room T

ID: 34030

When a student submits work that includes AI-generated text, adapted OER, and original writing, who made it? When a librarian publishes a course guide remixed from three openly licensed sources and refined with an AI tool, whose work is it? When an educator adapts a textbook chapter, runs it through a translation model, and posts it under CC BY, who does that license require you to credit?
These aren't hypothetical questions. They're happening in classrooms, libraries, and publishing workflows right now, and many of us are making up the answers as we go.
Attribution in open education has always been more aspiration than infrastructure. Creative Commons gives us TASL (Title, Author, Source, License) as a starting point, not a system, and the ground is shifting under even that starting point. The U.S. Copyright Office concluded in its January 2025 copyrightability report that AI-generated content without sufficient human authorship is not copyrightable, which means the "Author" field in TASL now carries questions it was never designed for. CC Signals, Creative Commons' emerging preference signals project, introduces credit obligations for machine reuse of openly licensed collections but operates at the dataset level, not per-work provenance tracking inside a content workflow. The gap between what we say we value and what we can trace keeps growing.
This round table is a conversation about what honest attribution looks like when humans and AI share the work.
We're bringing one proposed answer to the table: DARP (Devise, Author, Review, Prepare). DARP is a structured attribution model that assigns contributor roles, human or AI, across four stages of a content workflow, each with a defined scope of involvement. It tracks provenance as work is made, not reconstructed after the fact, and that record persists through remixing and redistribution without altering source text.
DARP is not theoretical. It is implemented in commonFrame, an open-source platform licensed under AGPL, with tooling available at no cost. But this conversation is not about the platform. It's about whether a model like DARP reflects how open educators actually work (and what's missing).
One question will anchor our time together: does a four-stage attribution model fit your practice, and where does it break? We especially want to hear from the open educators, open technologists, and open innovators at OEGlobal 2026 who remix, adapt, translate, and publish in open contexts every day. If the model doesn't fit your workflow, tell us why. If there's a stage we haven't accounted for, we want to know. If your context raises questions we haven't considered, we want to hear them.
Attribution is what keeps open education trustworthy and sustainable. This community has been working in open contexts longer than most, and that experience should shape what gets built next.

Speakers

Victoria Brame

Co-Founder, Clear Box

Victoria Brame is the co-founder of Clear Box, a mission-driven organization creating local-first, clear-box AI infrastructure so that access to knowledge never comes at the cost of privacy. She also leads strategic communications at The Rebus Foundation, expanding the reach of impactful... Read More →

Chris Macek

Co-Founder, Clear Box

Chris Macek is the co-founder of Clear Box, a mission-driven organization working to make public good software approachable and trustworthy. He leads development and designs systems that make it possible, a role that comes naturally after 20 years of doing the same thing in recording... Read More →

Thursday October 8, 2026 5:30pm - 6:00pm EDT
4 Room T MIT Samberg Conference Center, 50 Memorial Drive, Cambridge MA 02139 USA

Round Table

Speaker Modality In-person
Track Exploring Emergent Technologies and the Future of Openness

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OEGlobal 2026

Victoria Brame

Chris Macek

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OEGlobal 2026

Victoria Brame

Chris Macek

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