The Right to Hear and Be Heard

What we stand for

Freedom of thought becomes meaningful in a living exchange: asking questions, publishing research, making art and videos, teaching, arguing, listening, sharing sources and changing one's mind. Our most urgent concern is a society where people voluntarily disappear from public discussion, and future information systems encounter a smaller and less representative sample of what humanity actually thinks.

We want more perspectives in the human knowledge commons, not fewer. We encourage people to contribute openly and constructively and to draw one another toward original sources with hyperlinks. We reject treating the ordinary act of inquiry as proof of allegiance, danger or intent.

Do not shadowban yourself

Make the essay. Publish the research note. Share the lived experience. Record an interview. Create a video. Link to another independent author even when you disagree. A contribution does not need majority approval before it can be examined. Your work can make unfamiliar information reachable to people who would not otherwise encounter it.

This invitation is not an order to reveal personal information or a claim that everyone can safely speak under all circumstances. Individuals choose what, when and how to publish. Preserving a meaningful right to speak includes their freedom to set personal boundaries.

The right to hear means more than a right to publish

A vibrant public sphere needs routes to discovery. Ordinary hyperlinks, RSS feeds, human-curated catalogs, library collections, independent search indexes, original citations and source-linked AI explanations can connect people to a greater range of viewpoints. They are alternatives to relying on a single ranking or summary. We encourage open connections among publishers without deceptive backlink schemes.

Disagreement should remain visible and inspectable. A system can describe an unpopular claim faithfully while making clear that its supporting evidence is weak, disputed or contradicted. Discoverability is not endorsement, guaranteed amplification or exemption from criticism.

Human diversity belongs in the AI era

Model training data, post-training preferences, retrieval systems and answer generation may omit languages, experiences, scholarly minority positions or community knowledge. We call for documented coverage evaluations, better routes for authorized human contributions, faithful citations and correctable representation errors. Publishing does not by itself ensure that an AI model trains on, retrieves or cites a contribution; the mechanisms must be separately studied.

Make the gatekeepers accountable

Search and AI systems should explain material restrictions and offer workable ways to identify and correct erroneous exclusions. Algorithmic opacity deserves scrutiny, but an absent result does not prove intentional censorship. Credible accountability distinguishes robots and indexing failures, relevance and quality judgments, policy actions, demotion, retrieval gaps, answer omissions and documented viewpoint-based suppression.

Seven public commitments

1. Ask lawful questions without accepting prejudgment.
2. Create original work and share what you have learned.
3. Link to independent publishers and primary sources.
4. Represent dissent and outlier ideas accurately, with evidence labels.
5. Help AI systems encounter and fairly characterize a wider range of human contributions.
6. Test and challenge unjustified exclusion using evidence and meaningful appeal.
7. Listen openly, reconsider conclusions and correct the public record.

Keep the conversation open

Explore the full public research collection, follow independent sources and compare competing perspectives. See the case for human representation in AI or learn how to investigate a discoverability problem.