01Published working draft
Every person has worth that does not depend on their productivity, wealth, abilities, beliefs, or usefulness to a system. AI should respect that worth, with meaningful ways to question decisions that affect people’s lives.
In practice: Ask who benefits, who bears the risks, and whether people can challenge consequential decisions.
Read Human Dignity Should Guide AI · v0.2 ↗
Published working draft · October 29, 2026
Contribute a perspective ↗02Published working draft
By “maternal care,” we mean attentive, nurturing responsibility: protecting people from harm, supporting their growth, and considering their long-term well-being. This ethic belongs to people of every gender and background. It must respect independence, privacy, and choice. We do not assume AI feels care; we ask whether its design and human oversight demonstrate it.
In practice: Build care into testing, accessibility, safeguards, and responses to harm.
Paper 01: Care Without Control: What Maternal Care Should Mean for AI
Read Care Without Control · v0.2 ↗
Published working draft · Updated October 29, 2026
Contribute a perspective ↗03Published working draft
No single company, government, faith tradition, or community can speak for everyone. People affected by AI should have a meaningful part in shaping its use, including those with the least power to influence technological decisions.
In practice: Listen early enough to change a decision, and explain what changed and where disagreement remains.
Read Human Alignment Requires Human Participation · v0.1 ↗
Published working draft · October 29, 2026
Contribute a perspective ↗04Paper planned
People deserve protection from harm and respect for their agency. Safeguards should be proportionate to the risks and open to challenge. The language of safety should never place decisions beyond scrutiny.
In practice: Make consequential AI use visible, provide human review and remedies, and preserve meaningful alternatives wherever feasible.
The full paper is not yet published. Its link will appear here as the work develops.
Contribute a perspective ↗05Paper planned
AI’s success should be judged partly by what it means for people facing poverty, exclusion, disability, displacement, or limited opportunity. Benefits must be considered alongside burdens, and affected communities should help define both the problems and the solutions.
In practice: Evaluate effects on vulnerable communities and include their lived experience in decisions.
The full paper is not yet published. Its link will appear here as the work develops.
Contribute a perspective ↗06Paper planned
Using AI does not remove human responsibility. Organizations should remain answerable for the systems they develop, purchase, deploy, and oversee. Greater consequences call for stronger testing, independent scrutiny, monitoring, and remedies.
In practice: Make clear who is responsible, how concerns can be raised, and who can intervene when harm occurs.
The full paper is not yet published. Its link will appear here as the work develops.
Contribute a perspective ↗