AI for Multi-PI Collaboration Charters: Naming the Hard Questions Up Front

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-research-ai-multi-pi-collaboration-charter-creators

1. What is the primary benefit of using AI to help draft a collaboration charter at the start of a multi-PI research project?

   1. AI surfaces difficult questions that PIs should negotiate before the science begins
   2. AI guarantees that all conflicts will be resolved fairly
   3. AI automatically assigns authorship based on contribution metrics
   4. AI eliminates the need for any in-person meetings between PIs

2. A research team wants to use AI to draft their collaboration charter. Which task is AI actually capable of performing?

   1. Negotiating directly with PIs to reach consensus on terms
   2. Drafting sections addressing authorship, data sharing, and conflict resolution as questions to negotiate
   3. Deciding which PI owns the intellectual property if a dispute arises
   4. Signing the final agreement on behalf of the research institution

3. According to the key terms from the lesson, what does the abbreviation 'PI' most commonly stand for in academic research?

   1. Publication Index, a metric tracking research impact
   2. Public Intelligence, a category of open-source data
   3. Protocol Interface, a technical standard for data exchange
   4. Principal Investigator, the lead researcher on a grant or project

4. Why does the lesson warn against treating an AI-generated collaboration charter as a final contract?

   1. AI charters are too short to be useful
   2. AI cannot account for specific institutional policies or legal requirements
   3. AI-generated documents are always grammatically incorrect
   4. The lesson recommends using AI only for data analysis, not writing

5. A graduate student suggests that their lab use AI to determine who should be first author on every paper before any research begins. What is the most accurate concern about this approach?

   1. AI is not designed to predict research contributions that haven't happened yet
   2. AI will refuse to write about authorship because it's controversial
   3. AI requires all data to be collected before it can draft any documents
   4. AI always chooses the most senior researcher as first author

6. Two PIs disagree about who owns a dataset generated through their collaboration. Based on the lesson, what should happen before they proceed?

   1. The PI who mentioned the idea first automatically owns all resulting data
   2. The PIs should flip a coin to decide ownership
   3. The AI charter automatically assigns ownership based on who generated the data
   4. They should consult their institution's research office or OTL for guidance

7. A university research administrator reviews an AI-generated collaboration charter and finds it silent on who can access the raw data after the project ends. What should the administrator recognize?

   1. AI cannot generate useful sections without extensive human input
   2. Data sharing is not important for academic collaborations
   3. AI always includes data access clauses, so this charter must be fake
   4. The administrator should add a data sharing section addressing post-project access

8. Why might framing collaboration charter sections as 'questions to negotiate' be more effective than stating fixed rules?

   1. AI cannot generate statements, only questions
   2. Questions prompt discussion and allow customization to each project's unique needs
   3. Fixed rules are always illegal in research agreements
   4. Questions require less reading than statements, so PIs will finish faster

9. Three PIs plan a joint study but have never explicitly discussed what happens if one of them leaves the university mid-project. What risk does this create?

   1. The project will automatically be cancelled by the funding agency
   2. There will be no clear process for handling that PI's contributions, data access, or authorship
   3. The remaining PIs will automatically split the leaving PI's funding
   4. AI will automatically assign the leaving PI's students to another lab

10. A PI asks the AI to draft a collaboration charter and then signs it immediately without institutional review. What potential problem does this illustrate?

    1. Research offices do not review collaboration agreements, only contracts
    2. The PI has violated the lesson's warning about skipping formal counsel review for IP-related documents
    3. Signing before AI review makes the document legally binding
    4. AI-generated documents cannot be signed electronically

11. The lesson lists several key terms. Which term describes the legal rights to inventions, data, and publications created during research?

    1. Intellectual property
    2. Data sharing protocols
    3. Authorship agreements
    4. Conflict resolution

12. Two PIs have a conflict about whether a graduate student should be listed as co-first author on a paper. Based on the lesson, what is the most appropriate way to resolve this?

    1. Deny the student any authorship to avoid further conflict
    2. Add the student's name to all future papers automatically
    3. Let the AI decide who deserves first author
    4. Consult the pre-agreed authorship section of their collaboration charter

13. A research team uses AI to draft a collaboration charter but finds the output includes questions about commercialization that seem irrelevant to their basic science project. What should they recognize?

    1. Basic science projects never involve any commercial potential
    2. They should delete the entire charter and start over without AI
    3. The commercialization questions may still be worth discussing if any potential applications exist
    4. AI always produces perfect, relevant output for every project

14. What is the fundamental limitation of using AI to create a collaboration charter?

    1. AI cannot generate questions, only statements
    2. AI cannot think creatively enough to write original text
    3. AI lacks the ability to understand human relationships and institutional contexts well enough to make binding decisions
    4. AI always produces legally valid documents in every jurisdiction

15. A PI wants to use the same AI-generated charter template for three different collaborations with completely different institutions. What consideration should inform this approach?

    1. AI templates are copyrighted and cannot be reused
    2. Templates should be customized to address each collaboration's unique scope, partners, and institutional requirements
    3. Templates should only be used for collaborations within the same country
    4. All institutions have identical policies, so one template works everywhere