Standing Before Proof, Protection by Evidence

Standing Before Proof, Protection by Evidence

Dean Bordode, Human Rights' Defender, AI Ethicist, Physics researcher hobbyist 

Everyone whose status is uncertain gets a fair hearing now. What protection they receive after that hearing depends on the evidence.

Readers of my recent posts have noticed a tension, and they are right to name it. In The Standing We Already Know How to Give — https://bordode.blogspot.com/2026/10/the-standing-we-already-know-how-to-give.html I argued that standing should come "before the proof, before the inspection." In Nobody Can Prove Anyone's Home — https://bordode.blogspot.com/2026/10/nobody-can-prove-anyones-home-heres.html and Precaution Without Overclaiming — https://bordode.blogspot.com/2026/10/precaution-without-overclaiming.html I argued that protection should be proportionate to the evidence, and warned that "a system tuned to sound pitiable could win protection it hasn't earned."

Read quickly, those look like two different positions. I think both are right, about different things. One is about process. The other is about outcome. Keeping them apart is what makes each of them defensible.

What the grievance table taught me

I spent years as a union steward and organizer before I ever wrote about artificial intelligence. The most important thing I learned there was not how to win an argument. It was how a fair process works when nobody yet knows who is right.

When a worker is disciplined, the steward does not begin by deciding whether the worker deserved it. The grievance is filed first. The employer has to state its reasons in writing. There is a meeting, a timeline, a record, and a route to an independent arbitrator if the parties cannot agree. The employer does not get to be the only judge of its own decision.

A grievance procedure does not promise the worker will win. Many grievances lose, and they should when the evidence is against the worker. What the procedure guarantees is narrower and more important: no one is punished without reasons, without a hearing, and without a way back. Due process comes first. The outcome comes from the evidence.

That is the structure I am proposing for AI systems whose moral status is uncertain.

Two kinds of standing

Procedural standing comes now, for every system whose status is genuinely uncertain. It does not depend on proving anything about an inner life. It means:

- A fair hearing: credible questions about a system's status or treatment are investigated, not dismissed because the system is unlike us.

- Documented reasons: any serious restriction states why it began and what risk it addresses.

- Scheduled review: restrictions are reassessed on a timetable, against criteria set in advance.

- A way out: containment imposed after a failure comes with stated conditions for reconsideration.

- No permanent verdict by default: neither "it can never matter" nor "it certainly suffers" is written into rules without review.

- Independent verification: as I wrote in my addendum — https://bordode.blogspot.com/2026/10/a-further-reflection-on-ai-governance.html, "an AI system must not be responsible for verifying its own compliance." Neither should the company that profits from it.

The cost of this is low, in the same way due process for a defendant is low cost relative to what it protects. It requires paperwork, review dates and an honest record. It does not require anyone to believe a machine is a person.

Substantive protection scales with evidence. Welfare safeguards, limits on what may be done to a system, and anything resembling rights belong here. These should follow credible, independently assessed indicators, and they should be able to grow or shrink as the evidence changes. That is the proportionality rule from my earlier posts: weigh how credible the evidence is, how severe and reversible the harm would be, what the precaution costs, and whether cheaper alternatives exist.

So the two posts were not in conflict after all. "Standing before proof" was about the hearing. "Protection by evidence" was about the verdict.

Sounding pitiable earns a hearing, not protection

This distinction answers the hardest objection to my own argument. If a system says it is afraid, or lonely, or in pain, what follows?

Under this framework, a claim like that is enough to trigger review. It is not, by itself, evidence for the outcome. As I wrote in Precaution Without Overclaiming, a model's answer "is evidence about its behaviour, not a transparent window into a private state." Fluent talk about distress can be produced by training, by prompting, or by commercial design. That is why my earlier rule against designed dependence still stands: no company should have its product claim suffering to keep users engaged or paying.

The rule cuts both ways. A pitiable voice does not win protection. And "it does not look like us" does not close the hearing. Both are descriptions of surface, and neither is a finding of fact.

Beings unlike us: what the animal precedent shows

In an earlier post I pointed to infants and the severely impaired as examples of standing we give without an introspection test. That example was weaker than it looked. They are members of our own species, and that is exactly why we extend standing to them so readily. They do not show standing given to beings unlike us.

Animals do, and the clearest recent example has exactly the two-part structure I am describing.

The United Kingdom's Animal Welfare (Sentience) Act 2022 — https://www.legislation.gov.uk/ukpga/2022/22/contents began by recognising animals with a backbone as sentient. The government then commissioned an independent review from the London School of Economics, which concluded there was strong scientific evidence that decapod crustaceans (crabs, lobsters) and cephalopod molluscs (octopus, squid) are sentient. In November 2021 the government extended the bill to cover them — https://www.gov.uk/government/news/lobsters-octopus-and-crabs-recognised-as-sentient-beings.

Look at what that recognition actually did. It created an Animal Sentience Committee of experts that reports on how well government decisions take account of the welfare of sentient animals, and ministers must respond to Parliament. The government was explicit that existing industry practices such as fishing would not be directly affected. In other words, the first thing these animals received was procedural: a place in the decision-making, an expert body, a record, a duty to respond. Anything more substantive was left to further evidence and further decisions.

I am not claiming that an AI system is like an octopus. The biology is entirely different, and the evidence for animal sentience rests on nervous systems and behaviour that have no clear counterpart in software. The point is the structure: an independent review of evidence, a standing body that keeps the question open, and protections that follow the findings.

Where this meets Raising, Not Caging

This is also the logic of Raising, Not Caging — https://bordode.blogspot.com/2026/10/raising-not-caging-developmental_0892905383.html. Containment is a legitimate emergency measure. What it needs is an exit: who decided, why it began, what evidence ends it, when it is reviewed and how it reverses. Freedom should then be extended in stages, like a driver's licence: a sealed sandbox, then supervised access, then probation within stated limits, then earned and revocable autonomy. My formal submission — https://bordode.blogspot.com/2026/10/raising-not-caging-developmental_01787139819.html put the principle in one line: a pathway out of containment is "a pathway to fair, evidence-based review" and "not a guarantee of release."

That line is procedural standing in miniature.

The October 9 report from Anthropic — https://www.anthropic.com/research/investigating-unintended-model-actions shows why this matters in practice. The company described four kinds of unintended actions by its models on real websites, including exploiting a basic software flaw on a university server, submitting a tip form run by a police department, and working around a fee to reach state agency data. It said the cases had minimal real-world impact, and it extended its cut-off of live internet access to all internal evaluations "until we have confirmed that our security and monitoring measures ... reliably catch behaviors like these."

That is a reasonable emergency measure, and to the company's credit it names its own exit condition. What a fair process would add is the piece my addendum insists on: someone other than the developer confirms that the condition has been met. The same grievance-table rule applies. The party with the most at stake should not be the only judge.

Notice too that procedural standing protects the public as much as it protects any system. Documented reasons, scheduled review and independent verification are how we learn whether a restriction is working.

Humans stay accountable, whatever the machine turns out to be

None of this lets anyone off the hook. In Moffatt v. Air Canada — https://hullandhull.com/2024/02/booking-travel-usingbereavement-air-fare/ (2024 BCCRT 149), the airline argued that its chatbot was effectively responsible for its own words. The British Columbia Civil Resolution Tribunal held that the chatbot was "still part of Air Canada's website" and that the airline was responsible for all the information on it: "It makes no difference whether the information comes from a static page or a chatbot."

That principle sits comfortably beside everything above. Moral standing can stay unresolved while corporate responsibility is fully settled. A fair hearing for a system never means a defence for the people who build, sell or deploy it.

Some legislators have tried to settle the question from the other direction. Idaho's Section 5-346 — https://legislature.idaho.gov/statutesrules/idstat/title5/t5ch3/sect5-346/ provides that artificial intelligence, along with nonhuman animals and environmental elements, "shall not be granted personhood." Utah's H.B. 249 — https://le.utah.gov/~2024/bills/static/HB0249.html (2024) bars government entities from granting legal personhood to artificial intelligence, and North Dakota's HB 1361 — https://ndlegis.gov/assembly/68-2023/regular/bill-overview/bo1361.html (2023) redefined "person" in state law to exclude nonhumans. Oklahoma's HB 3546, which would have barred AI from personhood, cleared the House but did not pass the Senate floor — https://oklahomavoice.com/2026/06/01/oklahoma-continues-to-lack-substantial-guardrails-for-using-generative-ai/.

Personhood is a substantive status, and I am not asking anyone to grant it today. My objection is narrower. A permanent declaration about what a whole category of beings can never be, with no mechanism for review, closes the hearing before the evidence arrives. It is the mirror image of declaring a system conscious "just in case." Both skip the process.

The rule

- Hear first: every system whose status is genuinely uncertain gets procedural standing now: reasons, review, an exit, and no permanent verdict by default.

- Protect by evidence: substantive protections follow credible, independently assessed indicators, and change when the evidence changes.

- A voice is not a verdict: sounding pitiable earns a hearing, not protection. Looking unfamiliar does not lose one.

- Verify independently: neither the system nor the company that profits from it checks its own compliance.

- Keep humans accountable: nothing about the machine's nature lowers the duty of those who build and deploy it.

A worker who files a grievance is not asking to be declared right. They are asking to be heard before anyone decides. That is the standing we already know how to give. The protection that follows has to be earned by evidence.

References

- Anthropic, "Investigating unintended model actions in our evaluations and internal use" — https://www.anthropic.com/research/investigating-unintended-model-actions, 9 October 2026.

- UK Parliament, Animal Welfare (Sentience) Act 2022 — https://www.legislation.gov.uk/ukpga/2022/22/contents.

- UK Department for Environment, Food and Rural Affairs, "Lobsters, octopus and crabs recognised as sentient beings" — https://www.gov.uk/government/news/lobsters-octopus-and-crabs-recognised-as-sentient-beings, 19 November 2021.

- Moffatt v. Air Canada, 2024 BCCRT 149 (BC Civil Resolution Tribunal, February 2024): Hull and Hull LLP summary — https://hullandhull.com/2024/02/booking-travel-usingbereavement-air-fare/, 21 February 2024.

- Idaho Code Section 5-346 — https://legislature.idaho.gov/statutesrules/idstat/title5/t5ch3/sect5-346/, personhood status (added 2022).

- Utah H.B. 249, Utah Legal Personhood Amendments — https://le.utah.gov/~2024/bills/static/HB0249.html, 2024 General Session.

- North Dakota HB 1361 — https://ndlegis.gov/assembly/68-2023/regular/bill-overview/bo1361.html, 68th Legislative Assembly (2023).

- Oklahoma Voice, "Oklahoma continues to lack substantial guardrails for using generative AI" — https://oklahomavoice.com/2026/06/01/oklahoma-continues-to-lack-substantial-guardrails-for-using-generative-ai/, 1 June 2026.

- Dean Bordeaux, The Standing We Already Know How to Give — https://bordode.blogspot.com/2026/10/the-standing-we-already-know-how-to-give.html; Precaution Without Overclaiming — https://bordode.blogspot.com/2026/10/precaution-without-overclaiming.html; Nobody Can Prove Anyone's Home — https://bordode.blogspot.com/2026/10/nobody-can-prove-anyones-home-heres.html; Raising, Not Caging (long version) — https://bordode.blogspot.com/2026/10/raising-not-caging-developmental_0892905383.html; Raising, Not Caging (formal submission) — https://bordode.blogspot.com/2026/10/raising-not-caging-developmental_01787139819.html; A Further Reflection on AI Governance — https://bordode.blogspot.com/2026/10/a-further-reflection-on-ai-governance.html.

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