Question 04 / Participation
What makes the benefits of automation worth sharing?
Examine the agreements between contributors, users, and the people funding the work.
Why it matters
The human question.
Expertise can become reusable through AI. The people contributing it and the people paying for its use may have different expectations about recognition, control, compensation, and maintenance.
Working hypothesis
What we expect—and need to test.
Our working hypothesis is that explicit, understandable agreements can support useful collaboration and meaningful participation in its benefits.
Approach
How we would investigate.
Interview contributors and prospective funders separately using concrete examples. Compare open sharing, fixed commissions, employer reward pools, and negotiated revenue sharing. A later voluntary pilot would observe actual choices and continued participation.
Compare the value received and the effort required under each arrangement. Separate internal reuse from external sales and technical contribution estimates from what participants consider fair.
Outcomes
What we would look for.
- Terms accepted or rejected by each party
- Continued sharing and maintenance
- Benefits received and administrative effort
- Ability to renegotiate, leave, and resolve disputes
Reconsideration
What would change our thinking.
An arrangement that reduces collaboration or costs more to administer than it delivers should be simplified or abandoned. Interview enthusiasm alone would not establish demand.
Current status
The study has not yet run.
This is a proposed study, with no participant results or measured effects to report. The sampling plan, final measures, and analysis need to be specified before the study begins.
Next step: Prepare examples and an interview protocol that gives each party an independent voice.
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