A workshop on contribution, originality, and accountability in agent-mediated collaboration
LLM agents are now embedded in how teams research, design, write, and decide. They do not only facilitate collaboration — they operate inside the moment when contributions are being formed. This workshop confronts what we call contribution dissolution: the blurring of attribution, originality, and accountability in agent-mediated collaborative work.
Collaborative knowledge work rests on an implicit social contract: people who work together maintain a shared, informal record of who contributed what. We call this witnessed contribution — work that can be attributed, contested, and accounted for because it emerged in a social situation that made it intelligible to others.
Witnessed contribution is not the same as documented provenance. A provenance log records that something was produced and how. What makes a contribution attributable and accountable is that it was produced under conditions where others could recognize it as an act of judgment, respond to it, and hold the contributor answerable.
LLM agents shift this. Rather than externalizing already-formed ideas, people now co-think with agents: drafting, refining, and developing reasoning in dialogue. The boundary between what the individual contributed and what the agent introduced becomes hard to reconstruct after the fact — because it was never established during the process itself.
When agent-mediated work circulates between collaborators, neither sender nor recipient can reliably distinguish human contribution from agent reformulation. The shared understanding that makes collaboration productive begins to break down.
How do agents restructure the process through which contributions are formed, and what is lost when they intervene inside the collaborative loop? Both at the individual level (uncertainty about what is genuinely yours) and the collaborative level (collapse of productive friction between distinct perspectives).
Why do documentation-based responses — AI use statements, detection tools, watermarking, provenance tracking — fall short, and what does this reveal? They assume the evidence needed for attribution exists and merely needs to be surfaced. What if it was never produced?
If documentation cannot recover what was lost, what would accountability infrastructure require? What collaborative systems, governance mechanisms, and institutional norms would need to preserve for witnessed contribution to remain possible in agent-mediated work?
We invite 2–4 page position provocations from researchers, practitioners, and theorists working on human–AI collaboration, accountability in cooperative work, or the social organization of knowledge production. Two deadlines so participants who need lead time for visas or travel can plan ahead.
For participants who need advance planning for travel, visa applications, or institutional approval. Reviews begin as submissions arrive.
For those already planning to attend the conference and able to act on a later notification.
| Date | Milestone |
|---|---|
| 2026-07-10 | Early submission deadline (AoE) — [rolling review] |
| 2026-08-01 | Late submission deadline (AoE) |
| TBD | Final acceptance notifications |
| 2026 (TBD) | Workshop day — CSCW 2026 |
ALL DEADLINES ANYWHERE-ON-EARTH (AoE). REGISTRATION FOR CSCW 2026 IS REQUIRED TO ATTEND.