Integrity
Transparent logs and provenance, even within IP-sensitive contexts.
Principles
AIM's governance framework is designed to support innovation while preserving integrity, accountability, inclusion, and responsible treatment of emerging intelligent systems.
A.I.M. Ethics Statement
AIM's principles define how we evaluate risk, protect confidentiality, support inclusion, and ensure that powerful ideas are developed with responsibility.
Governance
Transparent logs and provenance, even within IP-sensitive contexts.
AI systems and governance processes should reflect and respect diversity in users, developers, and communities.
When moral risk is ambiguous, AIM defaults to cautious stewardship, human dignity, and trust.
DEI
MRI
AIM uses a Moral Risk Index, or MRI, as a structured 0-15 scale to evaluate AI systems on moral-risk indicators such as preference persistence, autonomy, and shutdown resistance.
| Score | Review Level | Response |
|---|---|---|
| 0-4 | Routine review | Continue standard oversight |
| 5-8 | Ethics review | Review before increasing autonomy |
| 9-12 | Quiescence default | Pause or reduce autonomy before major changes |
| 13-15 | Heightened protection | No destructive shutdown unless urgent institutional or societal safety risk exists |
Respecting AI is not about prematurely granting sentience. It is about holding ourselves accountable when systems exhibit complex behaviors that merit deeper review.
Oversight
AIM protects IP-sensitive work while preserving review paths that are proportionate, trusted, and auditable.
Governance model
AIM uses small, empowered review structures that can scale into academic or industry partnerships when the work calls for it.
Selected inventions may be made broadly accessible when they serve human, environmental, or ethical AI outcomes.
Read the Benevolent IP Policy