Why We Need One Transparent Rulebook for All Scientific Literature

 

Scientific knowledge no longer lives in separate boxes. What used to be divided into “official journals,” “books,” “preprint servers,” “web pages,” and now “AI outputs” has become a single, tangled space where ideas move freely across formats and platforms. Articles are discussed on social media, preprints drive clinical decisions, AI systems summarize and rank findings, and blog posts can influence policy as strongly as some peer‑reviewed papers. In this new reality, the old assumption that prestige of venue equals trustworthiness has simply broken down.

Yet our rules and expectations have not caught up. We still judge a paper differently depending on where it appears, even when the methods and data are identical. We tolerate uneven standards for transparency, conflicts of interest, and accountability. We treat reviewers as invisible gatekeepers rather than authors of influential scientific work. And we are only beginning to think seriously about how artificial intelligence systems, now deeply embedded in research and publishing workflows, should be governed and made accountable.

Our Memorandum on Personalized Responsibility, Unified Oversight, and Human–Artificial Participation in the Global Scientific Literature Space was written to address this gap. It starts from a simple observation: science today lives in one unified real–virtual literature space. Journals, books, repositories, networks, platforms, and AI‑mediated systems are all part of the same ecosystem. If that is true, then integrity and trust must rest on the same core principles everywhere, not on the prestige label attached to a particular venue.

The memorandum argues that the primary unit of trust should be persons and their conduct, not platforms or brands. Every significant scientific contribution—whether published in a top journal, posted on a preprint server, hosted on a blog, or generated with AI assistance—should in principle be traceable to accountable contributors, with structured records of their publications, reviews, corrections, and declared conflicts. We call this the “scientific passport” idea. At the same time, we insist on protections: in high‑risk contexts, identities may need to be held under seal by trusted bodies so that responsibility is real but vulnerable people are not exposed to persecution or violence.

Equally important, the memorandum treats review as scientific work, not just a backstage technicality. Reviews shape careers, guide practice, and legitimize or block ideas. They should be recognized, citable, and recorded as part of a reviewer’s scientific passport. Where full openness is safe, reviews should be attributable; where it is not, structured anonymity with clear protections should be used.

We also propose clear distinctions between hypothesis and evidence, and between honest error and deliberate fraud. Disagreement or strong criticism should not, by itself, be grounds to suppress publication when methods and data are honestly presented. Instead, disputed work should be accompanied by visible, citable critiques. Serious misconduct—fabrication, systematic deception, manipulative recommendation—should trigger personalized consequences that do not depend on where the work appeared. A dangerous fabrication in a prestigious journal and a dangerous fabrication on an open platform are both dangerous.

Because no single venue can govern integrity across this unified space, we call for federated arbitration structures: independent bodies in different regions and disciplines that apply shared integrity principles, analyze evidence of abuse, and recommend corrections and sanctions, with transparency and appeal. Artificial intelligence should be part of this architecture twice over: as an object of governance (its role, training, and limits must be disclosed) and as a tool for detecting suspicious patterns and networks of manipulation. Final judgment, however, must remain human, with identifiable stewards taking responsibility for any AI participation in science.

This is not a closed doctrine. It is a working project and an invitation. We are asking everyone who is not indifferent—scientists, reviewers, editors, publishers, platform developers, AI researchers, professional associations, and informed readers—to read the memorandum, critique it, and tell us where it succeeds and where it fails.

We especially welcome concrete proposals on how to protect vulnerable researchers and whistleblowers, how to treat authors from under‑resourced settings fairly, how to govern AI systems as active participants in science, and how to design independent arbitration that does not stifle dissent or creativity.

The time for uneven, format‑dependent rules is over. If science now lives in one shared literature space, then transparency, responsibility, and integrity must apply everywhere and to everyone, with room for context and protection but no double standards. We invite you to join this effort and help shape a future in which scientific freedom and scientific responsibility grow together, in a human–AI co‑governed space worthy of the trust society places in science.

You can find the full text of the memorandum here:

https://www.researchgate.net/publication/408350217_Memorandum_on_Personalized_Responsibility_Unified_Oversight_and_Human-Artificial_Participation_in_the_Global_Scientific_Literature_Space

and here

https://yabluchanskiy.blogspot.com/2026/07/memorandum-on-personalized.html


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