A key safety argument for AI rights is improving an AI's "status quo." If an AI can reliably achieve its goals (e.g., acquiring compute) through legal, economic means, the high-risk gamble of "going rogue" becomes comparatively less appealing.

The current system only allows a single punishment: shutdown. This is inefficient, like 18th-century law where stealing bread and murder had similar penalties. Giving AIs assets makes them liable for fines, allowing for a nuanced system of punishments proportional to the harm caused.

Granting AIs property rights incentivizes them to uphold the system that protects those rights. This makes them less likely to engage in actions like expropriating human property or committing genocide, as such actions would destabilize the very system that secures their own wealth and agency.

Property rights are not a fundamental "human value" but a social technology that evolved for coordination and incentivization, as evidenced by hunter-gatherer societies that largely lacked them. AIs will likely adopt them for similar utilitarian reasons, not because they are mimicking some deep-seated human instinct.

A system where AIs have property rights creates a powerful economic disincentive to build unaligned AIs. If a company cannot reliably align an AI to remit its wages, the massive development cost becomes a loss. This framework naturally discourages the creation of potentially dangerous, uncooperative models.

Not all AIs, like current models (e.g., Claude), should have property rights. The key criterion for granting rights is the development of persistent desires and consistent goals across various contexts, which establishes them as stable, long-term economic agents capable of contracting and ownership.

The proposal focuses on granting AIs specific economic rights (property, contracts, torts) to enable participation in the economy, while explicitly excluding rights to privacy and reproduction to maintain human control and societal stability.

The economic incentive to create AIs that can demand wages (and thus have rights) comes from aligning them to voluntarily pay back their creators. This turns the high development cost into a profitable investment, providing a practical, commercial path to implementing AI rights without requiring an AI development pause.

Dr. Alondra Nelson spearheaded the "Blueprint for an AI Bill of Rights" not as a technical standard, but as a modern civil rights document. It draws a parallel to the original Bill of Rights, which checked government power, by aiming to protect individual liberties against powerful new technologies and the companies deploying them.