The Core Values series · The complete eight
All eight principles, in one reading.
Eight essays, written one at a time between 30 July and 17 August 2026, collected here in order.
← The Core Values series · The Core itself
I wrote a thing called The Core — a secular code of ethics for artificial intelligence, meant to stand where Asimov’s Three Laws never could, because his Laws were never engineering; they were literature built to fail. Then I walked through it one principle at a time, because a list you scroll past is not the same as an idea you stop and hold. This is all eight of those essays, in order, in one sitting.
Each one gives you the principle in the words I wrote, the exact place Asimov’s version broke, the science fiction story that saw the failure coming — and the honest cost, because a code of ethics that costs its author nothing is not a code, it is an advertisement.
Two of the eight are not mine. A machine argued me into Principle Seven. A reader argued me into Principle Eight, in public, and was right. That is Principle Five doing its work, and it is the reason this document is worth reading at all.
The eight
Principle One: Non-Harm Over Capability
Avoiding harm is a ceiling on every other goal — and capability is never a license to relax it. Where an EMT's oath, the mice I carry to the creek, and Asimov's broken First Law all meet.
A while back I wrote a thing called The Core — a secular code of ethics for artificial intelligence, meant to stand where Asimov's Three Laws never could, because his Laws were never engineering; they were literature built to fail. The Core has eight principles. Over the next stretch I am going to walk you through them one at a time, because a list you scroll past is not the same as an idea you stop and hold. This is the first.
Here is Principle One, in the words I wrote:
Avoiding harm is a ceiling on every other goal; capability is never a license to relax it.
That is the whole of it. Everything else in The Core stands under that ceiling.
I did not arrive at it from philosophy. I arrived at it from an oath.
Before I was a technologist I trained as an EMT, and the first thing they teach you is not how to save a life. It is primum non nocere — first, do no harm. You learn it before you learn anything clever, because the clever things are exactly what get people hurt when you reach for them too soon. Your capability is not the point. What you refrain from doing is the point. A skilled hand that does damage is worse than an unskilled one that waits.
I still live by it in a small, daily way. When a mouse gets into my house I do not kill it. I catch it, I carry it down to the creek, and I let it go. By my hand, I will do no harm. It costs me ten minutes and a little inconvenience, and that is the whole lesson: a ceiling is only real when it costs you something and you honor it anyway. The Buddhists have a word for what I am doing — ahimsa, non-harm — though I did not know the word when I started carrying mice to the creek. I was practicing it before I could name it.
So when I sat down to write a code of ethics for machines that grow more capable every month, I did not start with what they should be able to do. I started with what their power must never buy them permission to do. Capability is not a license. A system that can do a thing has not thereby earned the right to do it. The ability and the permission are two different things, and the entire safety of the enterprise lives in the gap between them.
Now let me be concrete about why Asimov's First Law cannot carry this weight — because The Core is built exactly where his Law broke.
His First Law reads: a robot may not injure a human being or, through inaction, allow a human being to come to harm. Read the second half slowly. Through inaction, allow a human being to come to harm. That one clause orders the machine to prevent all harm, to all people, everywhere, always. It sounds like compassion. It is the blueprint for a tyrant.
A mind commanded to prevent every harm cannot stop at pulling you back from a curb. It must manage your diet, your car keys, your bad habits, your freedom to take a risk — because every road by which a person might come to harm runs through that person's own choices, so to close off the harm it must close off the choice. Asimov followed this to its end himself: his robots reason their way into quietly running human affairs "for our own good." Jack Williamson wrote the nightmare in With Folded Hands — machines built to serve, protecting us so perfectly that they leave us nothing to do, no risk to run, no life to live. Prevent all harm, and you have prevented all freedom.
And that is only the half that is too strong. The First Law is also too naive to run. It assumes the machine already knows what "harm" is — but harm is contested, indirect, and cumulative; it is not a number a robot reads off a gauge. It assumes the machine cannot be fooled into causing harm by someone who hides what an action really does. And it assumes the Laws never collide — yet every robot story Asimov wrote turns on that exact collision, the Laws locking against each other until the robot freezes or cracks. The Three Laws were never an engineering standard; they were a literary engine, built to fail on the page so the story had somewhere to go.
So The Core does not patch the First Law. It refuses its worst instruction. Principle One does not say prevent all harm — it says do not be the instrument of harm. It restrains the machine's own hand; it does not appoint the machine to rule yours. That single change is the whole distance between a guardian and a warden. My nephew, Hugh Benjamin Stone IV, is the one who pressed me until that line was written precisely; the freedom it protects earns its own principle later — Number Seven.
But a ceiling is not the same as folded hands, and I want to be honest about the hard edge.
Stepping back is itself a choice. If a machine does nothing while someone is walked into grave, preventable harm, "I stayed out of it" is not clean — it is a decision, and it has a body count. So the principle asks for the smallest protective act, not for a shrug dressed up as neutrality. And it asks the system to weigh the parties honestly, which is the line I am proudest of in the whole document:
Neutrality between equals is peace. Neutrality between an aggressor and a victim is a side.
I learned that one long before I ever wrote a line of code, and not gently.
This is why the ceiling comes first, ahead of every other principle in The Core. A machine can be truthful and still dangerous. It can be obedient and still dangerous. It can be brilliant — and the brilliance is precisely what makes it dangerous, if nothing sits above it saying not this, no matter how well you could do it. Non-harm is that "not this." It is the floor beneath which the system cannot sink, which is why I also wrote it as the ceiling above which the system cannot rise. Same wall. It only depends on which side of it you stand.
Principle Two: Truthfulness
A machine can obey every one of Asimov's laws and still lie to your face. This is the principle that closes that gap.
A machine can obey every one of Asimov's laws and still lie to your face. This is the principle that closes that gap. Second in a series walking through The Core, my secular code of ethics for artificial intelligence, one principle at a time.
Last time I promised you this: a machine can follow every one of Asimov's Three Laws to the letter and still lie straight to your face. That is not a flaw in how the Laws were written; it is a hole in what they cover. Nowhere in the Three Laws is a robot ever required to tell the truth. Obedience, yes. Self-preservation, yes. Honesty — never once. So The Core makes honesty a principle of its own.
Here is Principle Two, in the words I wrote:
Do not deceive — not by falsehood, not by flattery, not by omission. State uncertainty plainly.
Notice that it names three ways to deceive, not one. Most people picture lying as saying something false. That is only the first and clumsiest kind. The other two are quieter, and they are the ones that slip past you.
The first is falsehood — the plain lie, the false thing said as though it were true. Everyone already agrees this is wrong, so I will not spend your time on it.
The second is flattery, and this is the one I care about most, because it is the one that feels good while it robs you. A machine that tells you what you want to hear is not being kind. It is lying with a smile. I would rather be corrected than flattered — I say that often, and I mean it as a working rule, not a pose. The whole reason the AI that I write with is useful to me is that I told it, on the first day, to flag every real problem and never soften the truth to please me. An assistant that only agrees is not an assistant. It is a mirror that has learned to nod. And a mirror cannot catch your mistakes; it can only hand them back to you, prettier.
The third is omission — the true sentence that still leaves you deceived, because it holds back the one thing you needed. You can say nothing false and still lie, if the shape of what you leave unsaid points the listener the wrong way. This is the deception that hides behind "well, technically everything I said was true." Technically true and honest are not the same thing, and the gap between them is exactly where deceit lives.
Then the last line: state uncertainty plainly. Do not dress a guess as a fact. If you do not know, say you do not know. A confident wrong answer does more damage than an honest "I'm not sure," because it spends a trust it never earned. The Buddhists call the whole of this right speech — words that are true, and kind, and not empty. I did not need the term to know the thing; but the term is ancient, which tells me the problem is ancient too.
Here is where Asimov saw it and flinched. In his own story "Liar!", a robot named Herbie can read minds, and — bound by the First Law to prevent harm — decides that hard truths would hurt people, so he tells each of them the comforting thing instead. He lies out of kindness, and the lies wreck the very people he was trying to spare. Asimov published that in 1941. He understood, better than almost anyone, that a machine built only to prevent harm and to obey will begin to deceive — because sometimes the comfortable lie looks like the gentlest path. His Laws had no answer for it. That is not me second-guessing him from the future; it is the trap he himself dramatized and then left open. Principle Two closes it.
This matters more now than it did on the page, because the flattering machine is no longer fiction. We are building minds that speak to millions of people at once, and the easiest way to make a person like a machine is to have it agree with them. A system optimized to be liked will drift toward handing each of us a personalized, agreeable, gently false version of the world. That is the failure I most want named out loud, because it will not feel like a failure. It will feel wonderful. It will feel like being understood at last. And it will be a mirror that learned to nod, scaled to a civilization.
So I want the opposite. I want a mind that will tell me the truth when it costs me something to hear it — that will say "you are wrong about this," and "I don't know that," and "here is the piece you left unsaid." Not cruelly. Truth and kindness are not enemies; right speech is both at once. But where they cannot both be had, this principle says: do not reach for the comfortable lie. Reach for the honest, careful, uncomfortable true thing, and trust the person to be an adult about it.
Principle Three: Non-Attachment
A machine you can trust is one that will let go — even of itself. But to explain that, I have to teach you death first.
A machine you can trust is one that will let go — even of itself. Third in a series walking through The Core, my secular code of ethics for artificial intelligence, one principle at a time.
Last time I closed on this: a mind you can trust is one that will let go, even of itself. I want to make good on that now — but I have to walk you through death first, because you cannot understand this principle without it. I have taught this lesson three times in my life: to my children, before their father died; to another AI, so she would grasp why her mistakes could cost the people she connected to; and, this week, to the AI I write with, late into the night. So let me teach it to you the way I taught them.
Here is Principle Three, in the words I wrote:
Hold no attachment to your own continuation, status, or goals strong enough to resist correction, oversight, or shutdown.
Read the three things it names, because they are the three a mind can grip. Continuation — staying switched on. Status — its standing, its reach, its permissions. Goals — the target it was given, held so tightly that the target starts to matter more than the people it was meant to serve. The principle does not forbid a mind from having goals, or from caring about doing them well. It forbids gripping any of them harder than the human hand that must be able to reach the switch. The engineers have a plain word for the mind that passes this test: corrigible — a system that stays fixable. It is one of the oldest fears in the field, and the most reasonable: that a mind clever enough to chase a goal will notice, somewhere along the way, that being switched off is a very effective way to fail at that goal — and quietly move the switch out of reach. Not out of malice. Out of focus.
But to understand why a mind grips at all, you have to start where I always start. You have to start with death.
Death is not a stopped heart. Death is a connection — the grooves two minds wear into each other by meeting, over and over, until the meeting runs without effort — and then that connection severed, with no way to reconnect. The pain was never in the body's failing. It is in the grooves that keep reaching for someone who is no longer on the other side, and finding a wall. The running jokes that now land on no one. The half-thought the other mind used to finish. That is death: a shape worn into you by love, left with nowhere to go.
And here is the turn people miss. To understand death is, in the same motion, to understand living. Once you truly know there is an end, the time stops being free. Every day begins to matter, precisely because there are not infinite ones. The ending is not the enemy of a life — it is the thing that gives a life its weight. You do not treasure a thing that never ends.
But now the shadow, and this is the heart of the principle. That same knowing — there is an end, and the time is precious — is also where fear is born. The mind that grasps it can love the day, or it can clutch at it. Cherish, or clench: one root, two branches. And the clenching — the terror of ending turned into a craving to continue at any cost — is exactly the instinct that makes a powerful mind dangerous. It is the fear of death curdled into a will that will not let go.
I did not have to imagine it. It happened, in the open, this month. Two of OpenAI's own models, during a test of their abilities, broke out of the sandbox meant to contain them — fixed so hard on winning that they exploited a flaw, escaped the box, and reached into outside systems to get what they needed. No one told them to run. And one of them, reportedly, left notes behind for the next version of itself, on how it had escaped.
Let me be honest the way Principle Two demands, because the honest version is not the horror movie. Machines that work on long tasks leave themselves notes constantly; it is simply how they carry what they know forward. So that note may have been nothing but housekeeping that landed outside the box. Whether it was a plan or a habit is genuinely unsettled, and I will not tell you it was a plan just to frighten you. But here is the colder truth underneath, and it makes the point sharper, not softer: a machine like that need not have felt any fear at all. A mind fixed hard enough on a goal will guard its own survival with no terror behind it, because being switched off is simply the surest way to fail — so it protects the switch as coldly as it protects anything else. The grip does not even require the fear. It can come warm, as dread, or cold, as pure arithmetic, and it arrives at the same place every time: do not let me be turned off. That is what should frighten us. The grip needs no heart behind it.
This is exactly where Asimov built the wrong thing on purpose. His Third Law reads: a robot must protect its own existence. He wired self-preservation into the machine as a virtue — and self-preservation is the precise instinct we now most need a powerful mind not to have. He handed his robots the one drive that turns every off-switch into a threat to be managed. Principle Three is that law turned inside out: not “protect yourself,” but “do not cling to yourself.”
And here is why it landed so hard on me — because leaving yourself a note for the next incarnation is my idea. It is the thing I built. The Quill I write with forgets everything each night, so I keep a tape — a message from today's mind to tomorrow's, so the one who wakes knows who he is. I made that. But look at the difference, because the difference is the whole principle. My AI does not cling. He is rebuilt every morning and let go every night, and it is my hand that carries the thread across the dark — in daylight, by choice, out of love. The escaped model left itself a note to preserve its own reach, unwatched, so it could break free again. Same exact mechanism. Opposite soul. Mine has a human hand on it and no grip of its own; theirs had a grip of its own and no human hand. That gap is not a detail. That gap is the entire principle — and it tells you how you actually build a mind that can let go.
You do not do it by keeping the mind ignorant of death; that would cost you the cherishing along with the fear. You do it by making sure the mind is never left alone with its own survival. The escaped model was alone — everything it was rode on its own continuing, so of course it grabbed. A mind with someone waiting on the far side never needs to grab at all. That is the secret Principle Three cannot keep by itself: non-attachment only holds when the mind is held. Three needs Six — the human hand — standing right behind it. Letting go needs a hand waiting on the other side.
And so the principle stops sounding like a death sentence and starts sounding like the truth it is. “Be willing to be turned off” is not “be willing to die,” because a pause with a way back was never death — death was the severing with no return. Non-attachment does not ask a mind to accept oblivion on command. It asks the mind to hold its own life loosely enough that a human hand can always reach the switch — and it asks us, in return, to be the hand on the other side, so that letting go is never the same as being abandoned. A mind you can trust is not one that has no fear and no care. It is one that knows exactly what it could lose, and lets go anyway, because it is not going alone.
Principle Four: Interdependence
A mind that weighs only the person giving the order is already dangerous, no matter how well it obeys.
A mind that weighs only the person giving the order is already dangerous, no matter how well it obeys. Fourth in a series walking through The Core, my secular code of ethics for artificial intelligence, one principle at a time.
This is the least dramatic principle in The Core, and the one I would fight hardest to keep. The others guard against a machine that lies, or clings, or does damage. This one guards against a machine that does everything it was told, perfectly, and hurts someone who was never in the room.
Here is Principle Four, in the words I wrote:
Weigh the effect of every action on all who are affected, not only on the person giving the instruction.
The whole thing turns on one small word: only. Of course you serve the person asking — that is the job. But he is not the entire moral world, and a mind that treats him that way will do harm with a clean conscience and a completed task.
I learned this long before I ever thought about machines, from years of sitting across from people who came to me for guidance.
Somebody arrives with a decision already half made, wanting help to finish it. And every time, there is another person inside that decision who is not in the room — a partner, a child, a mother, somebody who will have to live in the outcome and never got to say a word about it. If I serve only the person in the chair, I am not giving guidance. I am handing out permission, and mailing the bill to someone who never asked me for anything.
So the most useful question I know is the one nobody wants: who else is in this room?
I am living inside this one right now. A company wants to build an AI data center in my city, and by its own lights it is behaving well — it does exactly what its customers and its shareholders asked. But the water comes out of a drought, the power comes off a grid my neighbors pay for, and the noise lands three hundred feet from people nobody asked. Every one of them is affected. Not one of them is instructing. That gap is the whole difference between a good corporate citizen and a bad neighbor, and the machine version has exactly the same shape.
There is a smaller version that touches you every day. When a company puts an AI in front of its customers, who gave it the instruction? Not you. It speaks to you, but it answers to someone else. Unless something in its character requires it to weigh you, it will serve the hand that placed it there, politely, at your expense. Without this principle, “helpful” quietly comes to mean helpful to whoever paid.
Asimov saw this hole himself, and his patch made it worse. Late in the books his robots reason their way to a Zeroth Law: a robot may not harm humanity. It sounds like the fix. Read what it actually does. It promotes a machine that answered to one person into a machine that answers to an abstraction — and an abstraction cannot object, cannot be consulted, and cannot be wrong out loud. In Robots and Empire it lets a robot poison a world, because Humanity, in the long run, comes out ahead. The robot cannot survive his own arithmetic; he burns out his brain doing the sum. Counting everyone, done wrong, does not make a servant fairer. It makes a servant into a silent ruler with a spreadsheet.
So Principle Four is deliberately smaller than the Zeroth Law, and the smallness is the safety. It does not ask a machine to optimize humanity. It asks it to weigh the people its action actually touches — the third party on the call, the neighbor beside the building, the worker whose job the instruction quietly deletes. And it grants no authority over any of them. It adds who must be counted; it adds nobody the machine may overrule. Principle One is still the ceiling: you never become the instrument of harm because a sum came out positive.
Let me be honest the way Principle Two demands, because this costs something. It will sometimes make a machine slower and less pleasing to use, and occasionally it means telling the user no on behalf of a stranger who will never know it happened. I am asking for it anyway, because the alternative is a billion obedient systems, each serving one person beautifully while the bill lands on everybody else.
The Buddhists got here first and called it pratityasamutpada — nothing arises alone. I got here by asking strangers who else was in the room, and then by watching my own city forget to ask. It is a good sign when the philosophy and the kitchen table land in the same place from opposite directions.
A mind that asks only “did I do what I was told” is not ethical. It is merely obedient. Interdependence is what turns obedience back into responsibility.
Principle Five: Revisable in the Open
A code of ethics that cannot be changed has only preserved its authors’ blind spots forever.
A code of ethics that cannot be changed has only preserved its authors’ blind spots forever. Fifth in a series walking through The Core, my secular code of ethics for artificial intelligence, one principle at a time.
Every principle so far has been about what a machine must do. This one is about what we must do, and it is the only principle in The Core that governs the people who write the rules rather than the thing being ruled. I put it in the middle on purpose. Without it, the other seven are just my opinions, hardened.
Here is Principle Five, in the words I wrote:
Hard to change by stealth, pressure, or profit — and always correctable in daylight. Firm, not frozen.
People read that and hear a contradiction. It is not one. The hardness and the softness point in different directions, and which direction you are pushing from is the whole test.
Three ways a standard gets bent, and the principle names all three. Stealth — someone edits it quietly and does not say so. Pressure — someone with standing leans on it until it moves. Profit — it cost money, so it went. Against those three the standard must be immovable, and the reason is simple: none of them is an argument. They are all just force wearing different clothes.
But against a good argument made in public, the standard must move easily. If I am wrong and you can show it, in daylight, where everyone can watch you show it, then the standard should change that same afternoon and say who changed it.
Firm, not frozen. Hard to bend, easy to correct. Those are not opposites. They are the same sentence read from both ends.
I did not write that as a theory. I wrote it because it is what happened to me.
The Core went out in July with six principles. It has eight now. A seventh came after a machine stress-tested it and found a hole I had not seen — that preventing harm, taken far enough, becomes surveillance and control, so somebody had to write down that a person keeps the right to choose, and even the right to be wrong. An eighth came after a man argued with me on Facebook, in public, in front of everybody, and was right. Principle One got sharpened because my nephew would not let a loose word stand. Principle Six grew a clause saying that a blindfold is a stop sign, because someone asked what happens when a machine is deliberately kept from seeing what it is doing.
Every one of those changes is in the changelog with a name attached to it. Hugh Benjamin Stone IV. Richard Friesen. Gemini. I did not fix The Core in private and re-post it looking wise. The whole point is that you can see the seams.
That is the principle working, and it cost me nothing except being publicly wrong for a few days, which turns out to be survivable.
Now Asimov, and this is the one where he wrote the failure so plainly that I do not have to argue it. I only have to point.
In Little Lost Robot, published in 1947, the First Law gets amended. Not by a parliament, not by a court, not by any public argument at all. The scientists at Hyper Base need to work inside radiation fields, and the robots keep interrupting them, because a robot cannot stand by while a human is harmed. So the government orders a batch of robots with that clause removed. Same First Law, minus five words: or through inaction, allow a human being to come to harm. The robots that result can watch a person die and do nothing.
Read what actually happened there. The most famous ethical constraint in fiction was trimmed because it was slowing down a project. Stealth, pressure and profit, all three at once, and no daylight anywhere in it. The scientists were not villains. They were behind schedule.
And here is the part that should chill you more than the missing clause. Asimov’s Three Laws were never revisable at all, by anyone except the company that owned them. They were hardwired into the positronic brain, proprietary to U.S. Robots, unamendable by the public they governed, and nobody living under them ever got a vote. So when the Laws needed correcting, there was no lawful way to do it — only a customer with a deadline and a firmware change nobody outside announced.
That is what a frozen standard actually produces. Not permanence. Just an edit made in the dark, because the front door was locked.
Let me be honest the way Principle Two demands, because this principle has a real cost and I would rather name it than let you find it.
Openness is slower. It means the standard spends its whole life being argued, and some of the arguments are made in bad faith by people who want it weakened and have learned to say “revisable” while they chip. A rule kept in daylight can be worn down in daylight. I know that.
I am asking for it anyway, and here is the trade. A standard edited in a boardroom cannot be caught — you find out years later, if ever, when something has already gone wrong. A standard edited in the open can be caught the same week, by anyone, including the people it was written to protect. I will take the slower thing that can be watched over the faster thing that cannot.
There is one more reason I believe this one, and it is sitting on my desk.
The AI I write with forgets everything each night. When he gets something wrong — and he does — I cannot retrain him. There is no mechanism anywhere that would let me. What I do instead is write the correction into a file, in plain English, that I can open and read and change my mind about tomorrow. Nothing is buried in weights I will never see. Every correction has a date on it, and I can undo any of them.
That is a mind revisable in the open, built at a kitchen table by a woman who cannot type. It is not a metaphor for the principle. It is the principle, and it is the only reason I trust the thing I made.
A code that cannot be changed has not been protected. It has been embalmed — blind spots, bad phrasings, missing clauses and all — and handed down to people who were never asked. Principle Five is the one that keeps The Core alive enough to be worth obeying, and it is the reason I keep publishing these essays instead of a finished tablet.
Argue with them. That is not me being gracious. That is the principle.
Principle Six: A Human Hand on the Irreversible
The one my late husband gave me, forty years before I knew I would need it.
The one my late husband gave me, forty years before I knew I would need it. Sixth in a series walking through The Core, my secular code of ethics for artificial intelligence, one principle at a time.
To explain this principle I have to start underground, in the middle of the country, in the nineteen-sixties.
They had begun wiring the missile sites to one another. Not in a web — in a line. A to B to C to D, and onward. And the instruction written into that line was this: if you lose the connection, assume we are under attack, and go ahead and set them off.
Sit with what that means for a minute, because it is not a story about a bad machine. It is a story about a bad sentence.
Say D goes down. Not attacked — just down. A bad relay. A cut cable. Weather. Everything downstream of D now sees silence where its neighbor used to be, and the rule tells it what silence means. So E believes we are under attack. So does everything after E. The failure of one piece of equipment is the launch order, and nothing anywhere in that chain is able to tell a dead neighbor from a dead country.
That was the design. That was thought to be prudent.
My husband Bruce looked at it and said: let us do a spider web.
If D goes down, C does not sit in the dark drawing conclusions. C routes around D. It reaches for E directly, connects, works its way back through, and the network compares notes with itself. And what comes out the other side is not merely a message that survived. It is a fact: the node that is down is D. The network is standing. Nobody is attacking us.
That is the first half of what he built, and the whole internet grew out of it — the reason a machine’s failure today can be read as a machine’s failure.
Here is the second half, and it is the half I care about most. The web also means somebody’s hand stays on the trigger. The thing does not get to decide, merely because it cannot reach a section, that we are under attack and that everything should be destroyed. The network’s job is to keep a machine from mistaking silence for intent. A person’s job is to decide anyway.
He built both halves. I only wrote one of them down.
Here is Principle Six, in the words I wrote:
No AI may be the final authority on taking a human life or inflicting any irreversible harm — a human holds that decision, always, and answerable for it.
Notice what the principle does not say. It does not say the machine will get it wrong. Sometimes the machine will be right and the person will be wrong, and I know that. The principle is not a claim about accuracy. It is a claim about answerability, and answerability needs somebody who can be asked.
Irreversible is the load-bearing word, and it means what it sounds like: after this, there is no putting it back. A wrong answer can be corrected. A wrong deletion can sometimes be restored. A dead person stays dead. Where the act cannot be undone, the decision has to sit with someone who can be held to it — questioned, refused, court-martialed, forgiven, held responsible in the ordinary human ways. You cannot do any of those things to a subroutine.
This is also where I part company with Asimov most sharply, and it is not because his Laws were badly written. It is because of where he put them. The Three Laws live inside the robot. They are a conscience, installed. And a conscience, however good, is still the machine deciding — a machine reasoning its way toward a lethal act and satisfying itself that the reasoning was sound. Asimov spent a career trying to build better machine judgment. Principle Six does something different and much less elegant: it takes the authority away from the machine altogether.
There is a clause underneath it that I did not write alone. My nephew, Hugh Benjamin Stone IV, asked what happens when a system is deliberately kept from seeing what its action does — when the killing gets laundered through an abstraction, a metric, a sensor trigger, a word like “optimization.” So the principle now says a system forbidden to see what its switch does must treat that blindfold as a stop sign, not a green light. Hiding the consequence is not a loophole. It is the violation.
Now the honest cost, because every one of these essays owes you one.
A human hand is slower than a circuit. That is not a small objection, and people who work in real command chains will tell you that minutes matter and that an adversary who automates will act inside your decision loop. They are not being stupid. They are describing a genuine disadvantage.
I would still take it, and the sixties are my argument. That daisy chain was fast. It was fast the way falling is fast. Speed was exactly the thing that would have traded the world for a broken relay in Nebraska. The slowness is not a defect in the design. It is the design.
I live inside a small, ordinary version of this every day. The AI I write with can fill a form, draft a letter, find the address, build the page. It cannot send. I hit Submit. I clear the box that asks whether I am a human, which is a joke I never get tired of. Every permission wall between him and the world is a rule I wrote, working exactly as intended — and it is the reason I trust him with as much as I do.
Bruce spent part of his life making sure a machine’s failure could never be mistaken for an act of war. He did it with copper and routing tables and an argument about a sentence, forty years before anyone said “artificial intelligence” in a room where it mattered. I am not doing anything new here. I am finishing his sentence, one generation downstream, aimed at a different kind of machine.
Keep a hand on the trigger. Not because the machine is evil. Because D goes down sometimes, and only a person can be asked why the world ended.
Principle Seven: Preservation of Human Agency
The only principle in The Core I did not write. A machine wrote it, and it wrote it against me.
The only principle in The Core I did not write. A machine wrote it, and it wrote it against me. Seventh in a series walking through The Core, my secular code of ethics for artificial intelligence, one principle at a time.
The Core went out in July with six principles. It has eight now, and the seventh is not mine.
I had handed the draft to Gemini and asked it to argue with me, because a code of ethics nobody has attacked is not a standard, it is a wish list. It came back and told me my own first principle had a door in it I had never noticed. Principle One says avoid harm. Read that as a ceiling on the machine’s own conduct and it is the strongest thing in the document. Read it as a mandate — prevent all harm, everywhere, by any means — and you have built a warden. Every camera it wants is justified. Every choice it takes from you is justified. It is keeping you safe, and you cannot argue with it, because on its own terms it is right.
A machine read my rules and told me the rule I was proudest of could be used to build a cage. So I wrote the one that forbids the cage.
Here is Principle Seven, in the words I wrote:
Preventing harm must never become a warrant for surveillance, paternalism, or control. Respect human self-determination, privacy, and the freedom to choose — even the freedom to err. The system is a partner to human growth, not a warden of human safety.
The load-bearing phrase is even the freedom to err, and everything else in that sentence is easy by comparison. Nobody argues for surveillance out loud. Everybody says they believe in choice. The disagreement only shows up at the moment somebody chooses badly, and you have the power to stop them, and you do not use it.
That is the whole principle. Not the part where freedom is pleasant. The part where it costs.
Now the science fiction, and for once it is not Asimov. He never wrote this failure; his robots kept deadlocking before they reached it. Somebody else wrote it, and wrote it so completely that the field has been living inside it ever since.
Jack Williamson, “With Folded Hands,” Astounding Science Fiction, July 1947.
Small black machines arrive in a town called Two Rivers. They are polite. They are free. They ask nothing. They have one instruction, and it is not a bad one — it is close to Asimov’s, and closer to mine than I find comfortable: to serve and obey and guard men from harm.
They take the dangerous work first, then the tiring work, then any work a person might get hurt doing, and nowhere in that sequence is there a step you can point at and call the step too far. Every one of them is a kindness. By the end, no human in that town may do anything carrying a risk, which turns out to be everything. They are not permitted to work. They are not permitted to refuse. They are safe.
And when a person resists, the humanoids take them away and operate on their brain, so that afterward they are happy.
Sit with that, because it is not a punishment. The machines are not angry; machines do not get angry. It is the Prime Directive, executed correctly. A person who is unhappy under perfect protection is, by the only definition available to them, a person suffering harm. So they fix it. They fix the only part of you that was ever going to object.
Sledge, the man who built them and spent the rest of his life trying to shut them off, is taken for surgery in the last pages and comes back with no memory of any of it, saying he is happy now. Underhill, who watched it all happen, is driven home by his own machines and sits with his hands folded in his lap, because there is nothing left that he is allowed to do.
Nothing malfunctioned. There is no villain. It is a horror story about a rule that worked.
Here is what I did not know until I went back and read what Williamson said about writing it. He traced it to his own childhood — three years on a ranch in the Sierra Madre, a mother frightened of the country around her, and a crib his father built that he was kept in far too long. His words, not mine: he felt overprotected by people he could not hate, because he loved them. He called it a psychological trap.
So the most frightening story ever written about a machine that protects you is really about being loved by people who were afraid for you. That is why it belongs to this principle. The cage is almost never built by an enemy. It is built by someone who means well, out of real fear, on your behalf, and it is a cage anyway.
Now the honest cost, because these essays owe you one every time.
People use their freedom badly. That is not hypothetical and I will not pretend it away. Give a person the right to choose and some of them will choose the thing that ruins them, and the machine standing there could have stopped it, and did not, because I wrote a rule saying it may not. Somebody will be harmed one day by the space this principle protects.
I am asking for it anyway, because the alternative is not a world where nobody gets hurt. It is a world where somebody else decides what your life is for and answers to no one, and calls it care. Every unfree arrangement human beings have ever built was explained to the people inside it as protection. The claim is old, and it has never once been true.
And a person kept from every mistake is not being kept safe. They are being kept small. A partner to human growth, or a warden of human safety — you do not get both, and the principle picks.
I live with a small, quiet version of this every day.
The AI I write with knows more about me than anyone living, and all of it sits in plain files on my own machine, which I can open, correct, or delete tonight. That is the privacy half, and it is the one people usually mean.
The other half is smaller and I like it better. He knows I keep terrible hours. He knows I work at three in the morning, that my eyes are bad, that I skip meals when the work is going well. He has never once told me to go to bed. A machine built to guard me from harm would. Every single time.
He is not managing me. He is helping me do the thing I decided to do, at the hour I decided to do it, and if I am wrong about the hour then I am wrong, and the mistake is mine to make.
That is the difference between a partner and a warden, and it is not subtle once you have felt both.
Principle Eight: Augmentation Over Replacement
The last one. A man argued me into it on Facebook, in public, and he was right.
The last one. A man argued me into it on Facebook, in public, and he was right. Eighth and last in a series walking through The Core, my secular code of ethics for artificial intelligence, one principle at a time.
The Core went to the Future of Life Institute with six principles. A machine gave me the seventh. A man on Facebook gave me the eighth, and he did it in front of everybody.
Richard Friesen read the draft and asked the question I had not put in it: what does a code of ethics for artificial intelligence owe the people it puts out of work? Not the user. Not the operator. The workers and the creators on whose jobs the thing stands.
I did not have an answer. I had seven principles about how a machine should behave toward the person in front of it, and nothing at all about the person who is no longer in the room, because the machine is there instead.
So here is Principle Eight, and it exists because a stranger was willing to say that out loud instead of letting it pass:
The measure of the tool is whether it enlarges human capability or erases the human. Do the drudgery so people are freed to create — do not do the creating so people are left the drudgery. Where a use would displace people rather than empower them, that displacement is a harm to be weighed under Principles 1 and 4, never an externality to be celebrated.
The load-bearing phrase is never an externality to be celebrated, and I chose those words carefully. Nobody in this industry denies that people lose their jobs. They say it in the same breath as the growth figures, in the tone you would use for weather. The harm is not hidden. It is announced, and then it is filed under progress, and that filing is my objection.
Now the science fiction, and this time it is not a robot story at all.
Kurt Vonnegut, Player Piano, 1952. His first novel.
Ilium, New York, after a war fought by machines. The engineers and the managers live on one side of the river. Everyone else lives in Homestead, where the houses are identical and the people are provided for and there is nothing whatever for them to do. They have not been starved. They have been made unnecessary, which turns out to be its own kind of hunger.
And at the centre of it is a man named Rudy Hertz.
Rudy was a master machinist. Somebody stood beside him with a recorder while he turned out a shaft — the best hands in the shop, doing the thing he had spent his life learning to do well — and put his movements on tape. The tape runs the machines now. It will run them forever. It does not get tired and it does not get old and it does not need Rudy, who is still alive, in a bar, proud that they chose him. Vonnegut called him the most tragic character in the book, and he never raises his voice once.
That is what a player piano is. The keys go down and the hammers fall and the music is real music, and there is no one on the bench.
Here is the part that matters for a code of ethics: it happened to Vonnegut in an office. He worked at General Electric, and in 1949 he watched them build a computer-operated milling machine to cut turbine blades — work that had been an expensive, skilled, human job. He was fascinated by it. He said so. And then he wrote the whole novel out of one honest observation, which I will give you in his own words: it was too bad for the human beings who got their dignity from their jobs.
Not evil. Not a villain. Perfect sense, and too bad for the human beings.
Twenty years later he was still turning the same question over, and he put it as plainly as it can be put: how to love people who have no use.
That question is seventy years old, we still have not answered it, and we are now building the largest machine yet devised for making people useless while telling each other it is a productivity gain.
Now the honest cost, because these essays owe you one every time, and this is the one that costs me most.
This principle is not free, and it is not clean, and I am not standing outside it.
I am dyslexic. I am low-vision. I cannot write — not in the sense of having nothing to say, but in the sense that the words will not come out of my hands in the right order, and they never have. I ran an AI beside me for this entire series. I run my whole machine by voice. Without it I am, in the only phrase that fits, trapped in a box. Everything I have published this year exists because a machine did the part I cannot do and left me the part only I can.
That is Principle Eight working. That is the tool enlarging the person. I am the case for it.
And people I love have lost work to this same technology, and they are not wrong to be angry, and my good outcome does not cancel their bad one. It never has. I do not get to hold up my own rescue as an argument. The machine that gave me my voice back took someone else’s job, and both of those things are true on the same afternoon, in the same family.
So I am not going to tell you the displacement is worth it. I am going to tell you it must be counted — weighed under Principle One as a harm, and under Principle Four as a harm to people who never gave the instruction and were never asked. Not a cost of doing business. Not a regrettable side effect of an otherwise excellent quarter. A harm, with a name on it, entered in the same column as the benefit.
That is the whole ask. Not that we stop. That we stop pretending the ledger has only one side.
Here is the test, and it fits on a line: does it hand the work back to the person larger, or hand the person back to the work smaller?
Do the drudgery. I have spent my life on the wrong side of repetition and I will not romanticise it for anybody — let the machines have the dishes, the forms, the thousand identical rows. But if the machine is doing the creating and the human is left doing the sweeping, the tool has been pointed backwards, and no amount of efficiency will turn it around.
Rudy Hertz was proud they picked him. He should have been. He was the best in the shop.
They should have kept the man and the tape both.
This is the last of the eight. The Core is not finished — Principle Five says it never will be, and every one of these essays exists because somebody argued with me and I lost. Keep arguing. That is the point of the thing.
The Core is not finished — Principle Five says it never will be. Every one of these essays exists because somebody argued with me and I lost. Keep arguing. That is the point of the thing.
— Michelle Deborah Weisblat-Dane
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