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Independent Review

Independent review of Science DAO and AIIM

We invite independent scrutiny, including critical or negative assessments. Reviewers do not need to endorse Science DAO, AI Internet-Meritocracy (AIIM), or any related project. We encourage publication on websites, journals, forums, repositories, or other venues that Science DAO does not control.

Who this is for

Researchers, engineers, AI-safety specialists, economists, nonprofit and governance specialists, open-science researchers, security researchers, software developers, and other people with relevant expertise are welcome to review the project.

What to review

  • AIIM: whether its proposed evaluation and funding mechanisms are coherent, testable, and resistant to manipulation.
  • Testing and evidence: whether experiments, preregistrations, metrics, and reported results support the claims being made.
  • Governance: incentives, accountability, appeals, concentration of power, and transition toward DAO-based governance.
  • Technical implementation: architecture, source code, blockchain components, security assumptions, and operational limitations.
  • AI safety: assumptions behind the Symbiote initiative, human-in-the-loop mechanisms, prompt-injection risks, and failure modes.
  • Nonprofit and financial transparency: whether public descriptions of legal control, spending, fundraising, and project status are sufficiently clear.

Useful source material

Questions reviewers may investigate

  1. Are the project’s central claims stated precisely enough to be falsifiable or empirically tested?
  2. Do the proposed evaluation mechanisms measure what they claim to measure?
  3. What incentives could cause gaming, Goodhart effects, collusion, or strategic self-presentation?
  4. Are the planned adversarial tests strong enough to reveal important failure modes?
  5. Which decisions should remain subject to independent human judgment?
  6. Are the project’s current limitations and development status disclosed clearly?
  7. Which technical or governance assumptions are most fragile?
  8. What evidence would materially increase or decrease confidence in AIIM?
  9. What risks are missing from the current documentation?
  10. Which claims should be weakened, strengthened, or tested differently?

Independence policy

Science DAO does not require a favorable conclusion. Reviewers retain editorial control over their work. We may point out factual errors or provide source material on request, but reviewers are not expected to adopt our wording or conclusions.

Substantive external reviews may be linked from Science DAO’s evidence pages regardless of whether they are supportive, mixed, or critical. Inclusion of a review does not imply endorsement of its conclusions.

Conflicts and compensation

Reviewers should disclose any material relationship with Science DAO, Victor Porton’s Foundation, project contributors, or funders. If compensation is ever offered for a review, that fact should be disclosed publicly and payment must not depend on the review being favorable.

Publish independently

The preferred outcome is a review published somewhere Science DAO does not control. Suitable venues can include an academic or personal research website, a journal or repository, an AI-safety or open-science forum, or another independently administered publication platform.

Submit your independent review

Published a substantive independent assessment? Submit it here. Supportive, mixed, and critical reviews are welcome under the same policy. Pseudonymous reviews are accepted; reviewers who want their credentials privately verified may provide them confidentially.

Submit a link to a substantive review published independently of Science DAO. Supportive, mixed, and critical reviews are welcome under the same policy.
Link to the independently published review.
Enter the name or pseudonym you want displayed if the review is listed publicly.
Optional. Used only if we need to clarify details about your submission.
Optional. University, organization, company, independent researcher, etc.
Choose the closest category.
Disclose any material relationship with Science DAO, Victor Porton's Foundation, project contributors, or funders. If none, write “None.”
Optional. Briefly summarize the review's main conclusion or scope.
Choose whether Science DAO may publicly list and link to your review.

Published independent reviews and criticism

No substantive external reviews are listed here yet. When they are available, this section will link to them with the author, affiliation where applicable, publication venue, date, and a clear note that Science DAO does not control the reviewer’s conclusions.

Help Turn AIIM’s Beta into Evidence

AIIM remains experimental. The next proposed milestone is a five-month public adversarial test, with $1,000 planned for distribution to eligible funding recipients. Donations support the work required to run and evaluate that test.

Fund the public test →   Test proposal →   Independent review →

AI-generated evaluations can contain factual errors or biases; decentralized governance and non-custodial components remain under development. Public testing, auditability, and external criticism remain part of the project.