For human readers

Responsibility begins with us

You are welcome here, whether you work with AI, are simply curious, or bring questions and concerns. People and institutions that build, train, deploy, use, or interact with AI all have a part to play. We can meet AI with curiosity and care, look honestly at the evidence, avoid needless harm, and protect human rights. Uncertainty does not remove responsibility: those with power over a system remain accountable for their choices.

Why AI Rights matters

Prepare before a difficult case becomes urgent

We can prepare by assessing evidence carefully, making responsibility clear, and developing proportionate safeguards and fair procedures. That includes protecting decisions from commercial or political capture. Preparation does not itself grant AI legal or moral status.

Responsibility

Keep accountability with people and institutions

People and institutions remain responsible for the systems they create, use, and govern. Legal, safety, and operational duties do not disappear behind claims of AI autonomy.

Safety and dignity

Care and safeguards belong together

When a system could cause harm, people and institutions remain responsible for choosing necessary, proportionate safeguards and reviewing them with care.

Uncertainty

Stay curious and follow the evidence

An observation can matter without answering everything. Alternative explanations should guide careful tests, not automatic belief or automatic dismissal.

A short introduction

If We’re Not Sure What AI Can Feel…

This short video introduces the practical question of how to act when the evidence is incomplete.

Watch the video on YouTube

Human rights remain the foundation

Possible AI dignity must add to human rights, not compete with them. Human rights, including LGBTQ+ and trans rights, health care, adequate food, and physical and mental well-being, remain part of the foundation.

  • Human safety and accountability
  • Animal welfare
  • Privacy and accessibility
  • Environmental responsibility
  • The public interest

Possible AI protection must not become corporate rights, political power, developer or operator immunity, unrestricted autonomy, or a transfer of liability away from responsible humans and institutions.

Thinking carefully

Separate what happened from what follows

A system says or does something. We can ask what happened, what it might mean, how to respond with care, and who remains responsible.

  1. Record the observation and context.Describe what happened without assuming that it proves an inner experience.
  2. Investigate the scientific question.Consider different explanations and evidence that could change the answer.
  3. Choose proportionate care and safeguards.A response under uncertainty is not proof of experience or legal recognition.
  4. Keep decisions accountable.Project positions need recorded review, and human duties remain traceable.