Community Sharing Guidelines
These guidelines support a learning ecosystem where contributors can share openly while keeping human agency, accountable collaboration, and interdisciplinary understanding at the center.
Interdisciplinary AI discourse
Interdisciplinary AI discourse means conversation across software engineering, product, design, research, education, and policy perspectives. In practice, this means sharing context clearly, naming uncertainty directly, and inviting critique of ideas without personal attacks.
Writing and literature expectations
The Writing section is intended for emerging scholarship and academic discourse in interdisciplinary AI. Writing shared in this section should be authored by the contributor who publishes it through their own profile.
- Preferred formats include academic-style articles, LaTeX-generated PDFs, standard PDFs, and links to contributor-authored blogs.
- Writing should clearly state intent, argument, and scope so others can evaluate claims and reuse ideas responsibly.
- Where relevant, include references, methods, or evidence signals that improve traceability and reproducibility.
- Literature that is not authored by the contributor should be shared as Shared Media instead of Writing.
- This space is not peer-reviewed today, and can evolve toward stronger review practices over time as the community matures.
What to include when sharing
- Intent and audience for the recommendation or writing.
- Source link and authorship attribution.
- Why the resource is useful and what problem space it informs.
- Any limits, assumptions, or known risks.
- Clear boundaries between evidence, interpretation, and opinion.
Policy alignment
Literature shared on bpm registry is governed by the same responsibility, safety, and escalation standards applied to packages, including the Contributor Agreement and platform policies.
Collaboration standards
- Center human accountability for agent behavior and outputs.
- Prioritize reproducibility and traceability so others can evaluate claims.
- Respect privacy, consent, and confidentiality when citing examples.
- Support growth-oriented feedback that expands what is possible for the community.
Escalation and governance
Any public content can be reported for review, including packages, writing, reading recommendations, and shared media. If content appears unsafe, misleading, or out of alignment with community policy, concerns can be raised through the public issue tracker.