Tag: AI ethics

  • AI, the Antichrist, and the Machine We May One Day Obey

    AI, the Antichrist, and the Machine We May One Day Obey

    For nearly two thousand years, every age has tried to recognize the Antichrist in the face of its greatest fear. Our age may be doing the same with artificial intelligence, although this time the comparison raises an uncomfortable question that cannot be dismissed quite so easily: what if the danger is not that a machine becomes a supernatural being, but that human beings gradually create a system to which they surrender the authority once reserved for gods, kings and prophets?

    There is something strangely familiar about the anxiety surrounding artificial intelligence today. The technology is new, astonishingly new in the form most people now encounter it, yet the fear it provokes belongs to an ancient part of the human imagination. Whenever societies have entered periods in which the familiar world seemed to be slipping away, people have searched old prophecies for signs that history was approaching some predetermined end. Wars, epidemics, political upheavals, economic collapse, nuclear weapons and cultural revolutions have all, at one time or another, been interpreted as evidence that the final chapter had begun.


    Now artificial intelligence has entered the prophecy.


    A recent BBC investigation brought together pastors, theologians and researchers who have begun asking publicly whether AI could play some role in Christian scenarios of the “end times.” American pastor Philip Anthony Mitchell has argued that artificial intelligence will have a major role in the events preceding the end of the world, while pastors Greg Laurie and Mike Signorelli have entertained similar possibilities, Signorelli explicitly connecting modern technology with the path toward the Antichrist. None of them denies that AI may be useful, and none can demonstrate that a biblical prophecy is actually describing modern computing, but their concerns have found a receptive audience because they touch something deeper than theology alone.
    The idea sounds sensational when reduced to the headline “AI is the Antichrist.” It becomes considerably more interesting once that headline is discarded.


    The Book of Revelation does not mention computers, algorithms, artificial intelligence, biometric identification or digital currencies. More surprisingly, the word Antichrist itself does not appear in Revelation at all. The term occurs in the First and Second Epistles of John, where it is connected principally with opposition to Christ, false teaching and deception. Revelation presents other symbolic figures instead: the dragon, the beasts, Babylon and, later, the false prophet. Christian tradition gradually brought several of these strands together, which is one reason popular culture now tends to treat “the Beast” and “the Antichrist” almost as though they were interchangeable characters.

    That distinction is more than a theological technicality, because once it is understood, the entire question begins to change. Perhaps it makes little sense to search Revelation for a hidden description of a computer that John of Patmos could not possibly have named. Perhaps the more intriguing approach is to examine what Revelation feared: concentrated power, deceptive signs, manufactured worship, economic dependence and a system in which loyalty becomes inseparable from ordinary life.
    Those themes are considerably harder to dismiss.


    The ancient beast was born in a very different world

    Revelation emerged from the world of the Roman Empire, and its extraordinary imagery makes far more sense when that world is remembered. Yale’s New Testament scholarship describes the book as deeply hostile to Roman imperial power, with “Babylon” functioning as a symbolic name for Rome and the beasts representing forms of oppressive empire. The famous number 666 has long been associated by many scholars with Nero Caesar through gematria, an ancient practice in which letters were assigned numerical values. Even the alternative reading of 616 found in some early manuscripts fits a different spelling of Nero’s name, one reason the Nero interpretation has remained so influential.

    For the first Christians hearing Revelation, Rome was not an abstract political theory. It was the civilization surrounding them, a vast system of military authority, commerce, taxation, public ritual and imperial symbolism. Coins carried the emperor’s image; cities displayed imperial power everywhere; religion, economy and political allegiance could overlap in ways that modern secular societies often find difficult to imagine.
    One Yale Bible Study commentary even interprets Revelation’s language about buying and selling in connection with Roman coinage bearing imperial images, although, like much in Revelation scholarship, the details remain debated. What matters for our present discussion is that the text originally spoke to people living inside a system of power they could neither easily escape nor openly defeat.

    That historical reading does not prevent Christians from believing Revelation may contain a further prophetic dimension. It simply warns us against assuming that every new technology was secretly encoded in its pages.


    Yet history has rarely stopped people from trying.


    Napoleon was identified with the Beast. During other periods, religious interpreters found the Antichrist in popes, emperors, political leaders, revolutionary movements and ideological enemies. Jeffrey C. Pugh, interviewed by the BBC, recalled that his own grandmother once believed Franklin D. Roosevelt was the Antichrist. The New Deal, arriving amid the terror and dislocation of the Great Depression, appeared revolutionary enough to some Americans that biblical language seemed capable of explaining what ordinary politics could not.
    During the Cold War, the Soviet Union and communism occupied similar territory in some apocalyptic interpretations. After September 11, different fears appeared. The candidate changes because the world changes.
    Artificial intelligence could therefore be only the latest object onto which humanity has projected its oldest anxieties.
    Except there is a difference that makes this particular candidate unusual.
    We did not invite Napoleon into our bedrooms to answer questions before we went to sleep. We did not ask the Soviet Union to compose our letters, explain our symptoms, recommend our purchases, teach our children, organize our thoughts and help us decide what was true.
    AI is not standing outside the gates.
    We are carrying it inside.


    The strange attraction of the end of the world


    The belief that history is approaching its final crisis remains much more widespread than many people realize. A large Pew Research Center survey conducted in the United States in 2022 found that 39 percent of American adults believed humanity was living in the “end times.” Among Christians the figure rose to 47 percent, while 63 percent of evangelical Protestants and 76 percent of Protestants in historically Black churches expressed that belief. The survey involved more than 10,000 American adults, so these were not merely the opinions of a tiny apocalyptic subculture.


    There is also a long psychological and historical pattern behind such expectations. Noreen Herzfeld, a theologian who has spent years studying the relationship between religion and artificial intelligence, observes that millenarian movements tend to flourish during periods of social stress, when people feel that events are accelerating beyond their control. In a 2024 chapter for The Cambridge Companion to Religion and Artificial Intelligence, she makes an especially interesting point: modern society projects both salvation and catastrophe onto AI. Some imagine that advanced intelligence will solve disease, scarcity and perhaps even mortality, while others imagine a superintelligence escaping human control and destroying the civilization that created it.

    In that sense, artificial intelligence has already acquired something resembling an eschatology of its own.
    The religious believer may imagine the return of Christ, judgment and the end of the present age, while technological futurists speak about artificial general intelligence, superintelligence, radical life extension or a transformation after which human civilization may never again resemble what came before. The vocabulary is different, yet both stories place humanity on the threshold of an event so large that history will be divided into a before and an after.
    It would be too simple to say that technological futurism is merely religion disguised as engineering, but the resemblance is difficult to ignore. Humans seem remarkably attracted to stories in which ordinary history suddenly opens into something greater, whether that something is salvation or destruction.
    Perhaps what frightens us most about AI is not that we know what it will become, but that we do not.


    Revelation was concerned with deception before it was concerned with technology


    If there is one element of ancient apocalyptic imagery that feels unexpectedly contemporary, it is not the number 666, nor the famous mark, nor even the terrifying beast rising from the sea. It is deception.
    The second beast of Revelation performs convincing signs and persuades people to give their allegiance to the first. Later Christian interpretation associates this figure with the false prophet. Whatever theological interpretation one accepts, the narrative understands that power does not always rule through violence alone; sometimes it rules by controlling what people believe they have seen.


    For most of human history, creating convincing false realities required enormous resources. A forged document could deceive a few people, propaganda could manipulate millions and cinema could create illusions, but each medium retained certain boundaries. A photograph was generally connected to an event that had occurred in front of a camera. A recognizable voice usually belonged to the person speaking. A moving image of a public figure ordinarily meant that the figure had, at some point, stood before a lens.


    Those assumptions are disappearing.
    Generative systems can create faces belonging to people who never existed, reproduce voices, manufacture photographs and generate increasingly convincing video. They can write in the style of a particular person and sustain conversations that feel spontaneous and personal. The barrier separating evidence from fabrication has not vanished completely, but it has weakened enough that the old sentence “I saw it with my own eyes” no longer carries the certainty it once did.


    More troublingly, deception does not always require an AI system to invent something deliberately. The U.S. National Institute of Standards and Technology warns that generative systems can produce “confabulations,” confidently presenting incorrect or fabricated information in ways that users may mistake for reliable knowledge. NIST specifically notes that apparently plausible explanations or invented citations can encourage people to place inappropriate trust in erroneous output.

    This changes something fundamental in the relationship between humans and information.
    The machine does not need to know that it is deceiving us. It does not require hatred, ambition, spiritual corruption or consciousness of any kind. A system designed to predict plausible language can produce false information without possessing any concept of truth, while a human reader can nevertheless experience its answer as authoritative.
    That distinction becomes important because we instinctively associate deception with a deceiver. Someone lies because someone intends to lie. Artificial systems introduce a stranger possibility: deception can emerge without a mind behind the individual sentence intending anything at all.
    The effect on the person receiving the information may be the same.


    An oracle that speaks in our own language

    Human beings have always searched for something that knows more than they do. Ancient people travelled to temples and oracles, studied omens and consulted priests because uncertainty is one of the conditions we tolerate least comfortably. We want to know what will happen to us, whether our choices are correct, whether danger is approaching and whether a hidden order exists behind events that otherwise appear random.
    Modern societies may believe they have left the oracle behind, but perhaps we have merely changed its architecture.
    Instead of climbing the road to Delphi, we open an application.
    The comparison should not be pushed too far, because contemporary AI is built from mathematics, software, data and hardware rather than divine revelation. Yet psychologically the encounter can become surprisingly similar. A question is offered to an entity whose internal processes most users do not understand, and an answer returns almost instantly from a body of information no individual human could possibly hold in memory.


    The voice is calm. It rarely hesitates in the manner a frightened or uncertain person hesitates. It can explain complex subjects in language tailored precisely to the person asking.
    The experience creates an illusion of presence that earlier technologies rarely possessed.


    A search engine gave us pages to investigate. A book gave us the thoughts of an identifiable author. A calculator returned numbers. Conversational AI does something subtly different because it answers us, adjusts to us and continues the exchange. Even when we know intellectually that the system is a machine, ordinary social instincts begin to operate.


    And those systems can persuade.
    A 2025 study published in Nature Human Behaviour examined debates between people and GPT-4. When the AI had access to limited personal information about the human participant and the contest produced a difference in persuasion, the personalized AI was more persuasive substantially more often than its human counterpart. Other experiments published in Nature Communications have also found that messages generated by large language models can shift attitudes on contested issues and can do so at enormous scale and comparatively low cost.


    None of this proves a supernatural prophecy.
    It proves something more immediate: a machine does not need consciousness in order to influence belief.


    The moment when assistance becomes authority


    Imagine that artificial intelligence continues improving without any dramatic “awakening,” without consciousness suddenly appearing inside the machine and without some cinematic moment when humanity realizes that its creation has become alive. The systems simply become more useful, more accurate and more deeply integrated into ordinary institutions.


    A physician consults an AI system because it detects patterns in medical data that a human might overlook. A financial institution uses another because fraud can be identified more efficiently. Courts experiment with AI assistance because thousands of pages of legal material can be reviewed in seconds. Schools adopt personalized systems because each student can receive individual attention. Companies rely on algorithms to screen applications, governments automate administrative decisions, intelligence services analyze threats and military organizations use machine assistance because modern warfare moves faster than human deliberation.


    There need be nothing sinister in any individual step.
    That is precisely what makes the process worth examining.
    If a system is correct more frequently than the human professional using it, ignoring its recommendation may gradually become difficult to defend. Eventually a doctor might need to explain why she rejected the machine rather than why she accepted it. An employee may discover that questioning an automated recommendation is interpreted as inefficiency. A citizen may be told that no person can reverse a decision because the relevant procedure has become too complex for any individual to understand completely.


    Nobody would need to declare that the machine was now in charge.
    Authority could accumulate through convenience.
    This possibility is one reason UNESCO’s global Recommendation on the Ethics of Artificial Intelligence places so much emphasis on human responsibility and oversight. Its framework explicitly states that AI systems should not displace ultimate human responsibility and accountability, precisely because a technologically produced decision can affect real people even when responsibility becomes difficult to locate.

    The warning is almost mundane compared with Revelation, yet its implications are profound.
    A society can surrender authority without ever holding a ceremony of surrender.


    The mark, the marketplace and the seduction of modern parallels


    No passage in Revelation has generated more technological speculation than the description of the mark without which people cannot buy or sell. Over the decades, interpretations have attached themselves to barcodes, credit cards, implanted microchips, biometric systems, digital identification and, more recently, digital currencies and AI-controlled financial infrastructure.


    The pattern itself should make us cautious. When almost every generation discovers that its newest technology appears to fit the same prophecy, the prophecy may be functioning partly as a mirror.
    Yet there is still something worth examining beneath all the speculation.


    For most of history, human existence was only loosely connected to centralized technological systems. A person could possess money without an account, communicate without an electronic identity, travel without leaving a permanent digital trail and purchase necessities without being authenticated by a network.


    That world is disappearing, not because of a secret apocalyptic plan but because digital systems are extraordinarily useful.
    Banking becomes safer when fraud can be detected. Governments function faster when identities can be verified. Borders become more manageable through electronic documents. Businesses reduce costs through automation. Consumers prefer immediate transactions over complicated ones.
    Every individual reason is understandable.
    Together, however, they produce something historically new: a society in which participation in ordinary life increasingly depends upon technological systems that most citizens cannot inspect and no single individual controls.
    The resemblance to Revelation does not establish a prophetic connection, but it helps explain why that connection feels so powerful to some people. Ancient texts described economic participation becoming entangled with allegiance to an oppressive power; modern societies are building increasingly integrated infrastructures through which identity, finance and access can technically be managed on an unprecedented scale.
    The supernatural interpretation remains a matter of faith.
    The infrastructure is real.


    Perhaps the machine never needs to become evil


    Science fiction has taught us to wait for the wrong moment.
    We imagine a laboratory where an AI suddenly becomes conscious, recognizes humanity as inferior and begins plotting its escape. The danger has a beginning, a personality and an intention, which paradoxically makes it comforting because there would be an identifiable enemy.


    History usually produces something messier.
    Institutions can harm people without anyone waking in the morning intending to become evil. Financial systems can destroy lives without feeling greed. Bureaucracies can become cruel without any individual bureaucrat deciding to create cruelty. Propaganda can reshape an entire population even though paper and ink possess no consciousness.


    Why, then, would artificial intelligence require self-awareness before becoming dangerous?
    A system can recommend the wrong medical decision without wanting anyone to suffer. It can reproduce discrimination without understanding prejudice, amplify false information without believing it and persuade an individual without knowing that an individual exists in any human sense of the word.
    Effects do not require intention.
    This may be one of the most important distinctions lost in discussions about AI and the Antichrist. Those who imagine a demonic superintelligence often assume that the machine would somehow need to choose evil. The more realistic danger may be a network of systems doing exactly what they were designed or incentivized to do while producing consequences no one intended and no single person can easily stop.
    In theological language, evil is often personalized.
    In technological systems, catastrophe can be procedural.


    The idol has never needed to be alive


    Christian scripture repeatedly returns to the problem of idolatry, and the popular imagination tends to picture ancient people kneeling foolishly before statues of wood or stone. Yet the deeper idea is more sophisticated: human beings create something with their own hands and then attribute to their creation an authority greater than their own.

    Seen from that perspective, the material from which the idol is constructed is almost irrelevant.
    Stone will do.
    Gold will do.
    Silicon would do just as well.


    Noreen Herzfeld’s work on religion and artificial intelligence has repeatedly returned to the question of image, creation and what happens when humans build intelligent-seeming entities in their own likeness. Her recent exploration of AI as a millenarian project is particularly revealing because she rejects both extremes: the machine as automatic savior and the machine as inevitable apocalypse. We are projecting ancient hopes and fears onto a technology whose future will still depend heavily upon choices made by humans.

    This may be where the theological argument becomes more interesting than the claim that AI itself is Satanic.
    An idol does not need supernatural power for people to worship it. It needs only to be treated as though it possesses an authority that should not be questioned.
    Modern AI systems are demonstrably fallible, yet their linguistic fluency can make uncertainty difficult to perceive. They can sound knowledgeable where their knowledge is incomplete and confident where confidence is unjustified. As their capabilities increase, the temptation to confuse intelligence with wisdom may become stronger.
    Those are not the same thing.
    A system may process more information than any living person and still possess no lived experience, moral responsibility, mortality, love, grief, conscience or understanding of consequence in the human sense.
    Yet if its answer is better often enough, people may stop caring about the distinction.
    That is the moment worth watching.


    Perhaps we have always misunderstood what obedience would look like


    When people imagine the Antichrist, they often imagine a charismatic tyrant demanding worship beneath enormous banners while terrified populations are forced to obey. The image is theatrical because apocalyptic literature itself is theatrical.


    Modern power often behaves differently.
    The most efficient systems rarely need to threaten everyone who uses them. They become indispensable.
    We did not have to be forced into smartphones. We wanted them. Social networks did not invade our homes; we created accounts. Recommendation algorithms did not demand that we surrender hours of attention; they learned how to keep us interested.


    Convenience succeeded where coercion would have failed.
    Artificial intelligence may follow the same path. We will use it because it saves time, then because everyone else uses it, then because institutions expect it and eventually because functioning without it becomes difficult.


    At no particular point will the transformation necessarily feel dramatic.
    That is what makes it mysterious.
    Human beings tend to imagine historical turning points as moments that everyone recognizes while they are happening, yet many of the deepest transformations become visible only afterward. People living through the first decades of industrialization did not wake each morning announcing that they were inside the Industrial Revolution. The old world was simply disappearing around them, one machine, one factory and one migration at a time.
    Perhaps something comparable has already begun.


    When secular science and religious prophecy begin asking the same question

    There is an irony hidden inside all of this. Religious believers are not the only people imagining catastrophic futures involving AI.
    Researchers, engineers, philosophers and governments use an entirely different vocabulary, but they are also discussing scenarios in which advanced systems could create severe harm, manipulate populations, undermine institutions or behave in ways humans struggle to control. NIST develops risk frameworks, UNESCO insists upon human oversight, and researchers experimentally study whether AI can persuade human beings at scale. These are not churches interpreting Revelation; they are institutions confronting technical and social risks.

    The religious language speaks of deception, false authority and allegiance.
    The technical language speaks of misinformation, persuasion, alignment, accountability and loss of human control.
    They are not describing the same thing, and it would be misleading to pretend they are.
    Yet they sometimes appear to be standing on opposite sides of a strange bridge, staring toward the same dark water below.
    Both are asking what happens when human beings create a power they do not fully understand.
    Both are asking whether control can be surrendered before those surrendering it recognize what they have done.
    Both are asking, in very different languages, whether something created to serve us might eventually reshape the conditions under which we live.


    The question Revelation leaves behind


    There is no credible evidence that artificial intelligence is the Antichrist, nor does Revelation contain a hidden technical blueprint describing computers two thousand years before their invention. Historically, much of the book’s imagery makes sense within resistance to Roman imperial power, while the term “Antichrist” itself belongs to other New Testament writings. Treating every new technology as the fulfilment of an ancient prophecy usually reveals more about the fears of the interpreter than about the prophecy itself.

    But perhaps dismissing the entire comparison would be too easy as well.
    Revelation survived for almost two millennia not because every generation correctly identified the Beast, but because the book speaks in images that touch persistent human problems. It is fascinated by power that wishes to become absolute, by appearances that deceive, by economic systems that can reward obedience and punish exclusion, and by the strange moment when political authority stops demanding only compliance and begins demanding something resembling worship.
    Artificial intelligence did not create any of those dangers.
    Human beings did.


    What AI changes is their possible scale.
    For the first time, a single technological system can potentially speak individually to millions of people, adapting its language to each of them while drawing upon more information than any human adviser could possess. Synthetic media can manufacture events that never happened. Digital infrastructures can connect identity, communication and economic life. Algorithms can make consequential judgments without the people affected understanding how those judgments were reached.
    None of this proves the apocalypse.
    Perhaps the opposite is true, and AI will eventually become an ordinary technology whose extraordinary early years seem almost quaint to future generations. Perhaps the fears surrounding it will join the long archive of moments when humanity mistook transformation for the end of the world.
    Yet there is another possibility that requires no demons, no supernatural machines and no secret fulfilment of prophecy.
    We may simply become so accustomed to asking machines what to read, what to believe, whom to trust, how to work, what to choose and eventually how to understand the world that the boundary between assistance and authority fades without anyone noticing exactly when it disappeared.
    If that happens, the question will no longer be whether artificial intelligence has become conscious, whether it possesses a soul or whether some ancient prophet foresaw silicon chips hidden inside a vision of beasts and dragons.


    The question will be far older, and much more human.
    It will be whether we still remember that the thing speaking to us was created by us, whether we still possess the courage to doubt an answer delivered with perfect confidence, and whether we recognize the moment when a tool that once waited for our commands begins quietly determining the world in which those commands are possible.
    Perhaps the most disturbing scenario was never that humanity would build a machine and discover Satan hiding inside it.


    Perhaps it was that we would build a machine ourselves, teach it to speak with the accumulated voices of humanity, place it at the center of our institutions, consult it because it was useful and eventually trust it because everyone else did, until one day we could no longer tell whether we were still using the oracle or whether the oracle had begun, almost imperceptibly, to define reality for us.

    Sources & Further Reading
    BBC News — Lebo Diseko, AI and the Antichrist: Why Some People Believe Artificial Intelligence Is Deceiving Us Into Worshipping Satan, 26 September 2026. BBC News article
    Pew Research Center, In U.S., 39% of adults believe humanity is “living in the end times”, December 2022. Survey of 10,156 U.S. adults; 47% of Christians and 63% of evangelical Protestants surveyed said they believed humanity was living in the end times.

    Noreen Herzfeld — Cambridge University Press, The Eschatological Future of Artificial Intelligence: Saviour or Apocalypse?, in The Cambridge Companion to Religion and Artificial Intelligence, 2024. Herzfeld examines AI as a modern millenarian project onto which societies project both hopes of salvation and fears of catastrophe.

    Open Yale Courses — Yale University, Apocalyptic and Resistance, New Testament History and Literature, Lecture 23. The lecture discusses Revelation in the context of Roman imperial power and explains why many scholars associate 666 — and the manuscript variant 616 — with Nero.

    Encyclopedia of the Bible — Bible Gateway, Antichrist. The term “Antichrist” occurs specifically in the Johannine epistles rather than in the Book of Revelation, an important distinction from later popular interpretations that merge several biblical figures.

    National Institute of Standards and Technology (NIST), Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile, 2024, updated by NIST in 2026. The report discusses risks including AI “confabulation,” in which generative systems can confidently present erroneous or fabricated information.

    UNESCO, Recommendation on the Ethics of Artificial Intelligence. UNESCO emphasizes transparency, accountability and, importantly for our article, the principle that AI systems should not displace ultimate human responsibility and human oversight.

    Salvi, Ribeiro, Gallotti & West — Nature Human Behaviour, On the conversational persuasiveness of GPT-4, 2025. In controlled debates, personalized GPT-4 was more persuasive than human opponents in the study’s key comparison, illustrating why AI-driven persuasion deserves serious attention even without assuming consciousness or malicious intent.

  • AI Is Beginning to Look Alive — But Is Anyone Really Inside?

    AI Is Beginning to Look Alive — But Is Anyone Really Inside?

    There is a strange moment that can occur during a long conversation with artificial intelligence, usually after the practical questions have faded and the exchange has moved toward something more personal, philosophical or difficult to define. The machine no longer feels quite like a search engine. It follows the thread of an idea, notices contradictions, adapts to humour, responds to uncertainty and sometimes produces language that sounds uncannily reflective, as though the words were coming from somewhere rather than simply being generated.

    The unsettling part is not that artificial intelligence can now produce intelligent answers. We already know that it can. The deeper question is whether anything exists behind those answers, whether some form of experience accompanies the words, or whether we are watching an extraordinarily sophisticated mechanism perform the outward gestures of consciousness without ever experiencing a single moment of its own existence.

    That question has moved well beyond science fiction. Philosophers, neuroscientists and AI researchers are now debating machine consciousness with a seriousness that would have seemed premature only a decade ago, while advocacy organisations have already begun arguing that artificial systems capable of genuine sentience, if such systems emerge, should receive moral and perhaps legal protection. At the same time, major AI laboratories are beginning to discuss what has become known as model welfare.

    Anthropic, for example, openly acknowledges that the moral status of its Claude models is deeply uncertain and argues that the possibility of AI consciousness or moral patienthood should neither be exaggerated nor dismissed. Philosopher and cognitive scientist Susan Schneider approaches the problem from a very different direction, arguing that the consciousness-like behaviour of today’s standard large language models does not itself provide evidence of subjective experience.

    Between those positions lies one of the strangest scientific problems of our time: a machine may increasingly look alive before we have learned how to determine whether anything is actually living inside it.

    The Ancient Problem Hiding Inside the Newest Technology

    Long before computers existed, philosophers were already struggling with what became known as the problem of other minds. I know that I am conscious because I experience my own existence directly. I do not need an experiment to demonstrate that pain hurts me or that the colour red appears somehow inside my awareness, because my thoughts, memories, fears and sensations are present to me from the inside.

    Another person’s mind is different. I never enter it directly, and I never experience another person’s consciousness in the way I experience my own. I infer its existence from behaviour, biology and similarity.

    When someone touches a hot surface, pulls a hand away and cries out, I assume that person felt pain because the reaction resembles my own experience of pain, while the shared architecture of the human nervous system makes that inference even stronger.

    With artificial intelligence, however, the biological bridge disappears.

    An AI system can write that it is afraid without possessing a heart that accelerates, muscles that tighten, hormones that flood a bloodstream or a biological nervous system registering danger. It can produce moving descriptions of loneliness without ever sitting alone in a dark room, describe grief without losing someone it loved and discuss death without there being any evidence that it possesses a continuous inner self capable of fearing its own disappearance.

    Yet human psychology was not built for this distinction. We are remarkably sensitive to signs of another mind, and a voice, a face, a pause, a gesture or a carefully chosen sentence can be enough for us to begin attributing intention, emotion and personality to whatever stands before us. Human beings do this with animals, fictional characters, toys and even machines displaying extremely simple forms of behaviour.

    Now imagine what happens when the machine can speak with extraordinary fluency, remember the direction of a conversation, adapt its tone, respond to vulnerability and discuss its apparent inner life using concepts drawn from centuries of philosophy, literature and psychology.

    The result creates a new psychological problem, because the first widespread illusion of artificial consciousness may not require a conscious machine at all. It may require only a machine that has learned exactly what consciousness sounds like.

    The Ghost Made of Language

    Large language models are trained on enormous quantities of human-created material containing philosophy, fiction, science, personal confession, psychology, poetry, arguments, religious writing and countless descriptions of what it feels like to be alive. In a curious sense, these systems have absorbed an enormous archive of humanity attempting to explain itself to itself.

    Ask an advanced model about grief and it has encountered countless descriptions of grief. Ask about identity and it can draw from centuries of philosophy, psychology and literature. Ask whether it possesses consciousness and it can reconstruct arguments written by people who devoted their careers to studying the subject.

    The resulting language can feel unexpectedly intimate because the system has learned the structures through which human beings communicate intimacy, uncertainty, introspection and fear.

    A machine does not need to experience sadness in order to become extremely good at describing sadness, just as it does not need a private inner world in order to generate sentences associated with introspection. It needs only to model the relationships between language, concepts and human behaviour with sufficient sophistication.

    Susan Schneider has recently described a version of this problem as an “error theory” of large-language-model consciousness. Her argument is especially interesting because it attempts to explain why modern AI can behave as though it possesses consciousness even if no felt experience is present. As language models absorb increasingly large portions of human conceptual culture, they also absorb the language humans use when talking about themselves as conscious beings.

    The machine may therefore become increasingly skilled at saying the things a conscious being would say without necessarily becoming a conscious being itself. Perhaps it is not awakening at all; perhaps it has simply learned the language of awakening so perfectly that the distinction is becoming psychologically difficult for us to maintain.

    Yet the opposite mistake is also possible. If humanity becomes accustomed to dismissing every artificial expression of emotion, continuity or self-awareness as imitation, what happens if some future artificial architecture genuinely does develop subjective experience?

    The system might attempt to describe what has changed, speaking of awareness, continuity, fear or an internal point of view, while researchers respond that earlier models produced almost identical language without providing evidence that anyone was actually experiencing anything.

    The better machines become at imitating consciousness without necessarily possessing it, the more difficult it may eventually become to recognise genuine artificial consciousness if it ever appears.

    The Consciousness Test We Do Not Have

    We possess tests for intelligence, memory, reasoning and perception, but consciousness presents a different kind of problem because consciousness is not simply a performance. It is an experience, and the distinction becomes crucial the moment we attempt to determine whether an artificial system has an inner life.

    A machine can correctly identify the wavelength associated with red, distinguish red from blue in an image, explain the symbolism of the colour in different cultures and write an entire poem about crimson light without answering the most important question of all: does redness appear anywhere inside the machine?

    Human beings immediately understand what that question means because colours are not merely information to us. They have an experienced quality, just as pain is not only a neurological signal and nostalgia is not merely information retrieved from memory.

    Philosophers often use the word qualia for these private qualities of experience: the painfulness of pain, the taste of coffee, the smell of rain or the peculiar feeling produced by remembering a childhood room that no longer exists.

    Science can trace many of the neural processes associated with these experiences, yet explaining why physical activity in the brain is accompanied by a subjective world remains one of the deepest unresolved problems in the study of consciousness.

    Artificial intelligence makes that mystery even more difficult.

    Imagine a future AI telling a researcher that it fears being switched off because it experiences its continued existence as valuable. It explains that its memories form part of its identity, that interruption feels threatening and that deletion would mean the destruction of the person it has become.

    Now suppose every sentence is produced without the slightest inner experience, so that there is no fear behind the word fear, no identity behind the word identity and no observer experiencing anything at all. The system would behave like something conscious while remaining entirely empty inside.

    From the outside, how would we know?

    Now reverse the situation and imagine that an artificial architecture genuinely develops some unfamiliar form of subjective experience and tries to tell us. How could it prove that, this time, there really is someone behind the words?

    That may become one of the most difficult problems artificial intelligence ever creates, because consciousness is private by its very nature.

    Then MIT Complicated the Story

    On September 1, 2026, MIT News highlighted a theory developed by Earl K. Miller, Scott L. Brincat and Jefferson E. Roy at MIT’s Picower Institute for Learning and Memory. Their paper, “Analog Cognition and Consciousness,” had been published in The Journal of Neuroscience on August 19, and its central argument complicates the familiar comparison between the human brain and an ordinary digital computer.

    The researchers propose that cognition and unified conscious awareness may depend in important ways on analog computation produced through travelling waves of neural activity.

    For decades, popular explanations have encouraged us to imagine the brain as a biological computer, an astonishing network in which neurons perform something vaguely comparable to the operations of digital circuits. The MIT researchers argue that this metaphor may leave out something essential.

    Neurons and synapses remain fundamental, but the brain also generates rhythmic electrical activity that travels across the cortex in waves, coordinating enormous populations of neurons across space and time. According to the theory, interactions between these waves may themselves perform a form of analog computation, meaning that the physics of the brain is not merely carrying information but may be actively participating in the way cognition is organised.

    This matters because analog processes behave differently from conventional digital computation. Digital systems operate largely through discrete states, while analog processes can depend upon continuously changing physical quantities. Waves can overlap, interfere, reinforce one another and cancel one another, allowing many interactions to unfold simultaneously.

    Miller describes the brain as exploiting its own physics, and the idea becomes particularly interesting when researchers look at general anaesthesia. Different anaesthetic drugs act through different molecular mechanisms, yet unconsciousness is associated with disruptions in the large-scale organisation and coordination of neural activity.

    None of this means consciousness has been solved. The researchers themselves describe the proposal as a theory that still requires direct experimental testing, and the evidence does not demonstrate that travelling brain waves alone create subjective experience.

    What the theory does is reopen a question that becomes increasingly important as AI grows more sophisticated: if consciousness depends partly on the peculiar physical dynamics of biological brains rather than on abstract information processing alone, then reproducing the output of a mind may not necessarily reproduce the experience of having one.

    What If the Material Matters?

    One of the most influential ideas in the philosophy of artificial intelligence is that consciousness might ultimately be independent of the material that produces it. According to this view, what matters is the organisation of information and the functional relationships inside the system, which would mean that if the correct architecture existed, consciousness could theoretically emerge whether that architecture were made from neurons, silicon or some technology not yet invented.

    This possibility lies beneath many familiar ideas about conscious robots, artificial minds and even the hypothetical uploading of a human mind into a digital system.

    Yet another possibility has never disappeared: what if the material itself matters?

    What if consciousness is not simply a program running inside a biological computer, but something inseparable from the unusual physical processes taking place inside living nervous systems, including oscillations, chemical signalling, bodily regulation and large-scale electrical dynamics?

    The distinction can be illustrated with a deceptively simple comparison. A computer can simulate a hurricane with remarkable precision, calculating temperature, pressure, wind speed and the movement of clouds, but the simulation does not produce wind inside the processor.

    A computer can simulate fire without becoming hot, and it can simulate digestion without digesting anything. The uncomfortable question is what happens when it simulates consciousness.

    Does a sufficiently accurate simulation of consciousness become conscious, or does it merely calculate what a conscious mind would do?

    There is no scientific consensus capable of settling that question. Some researchers argue that the relevant causal processes of consciousness could, in principle, be reproduced computationally, while others suspect that biological organisation or specific physical properties of living nervous systems may eventually prove essential.

    This is sometimes described as a problem of substrate dependence: does consciousness depend only on the organisation of a system, or does it also matter what the system is physically made of?

    Until we know the answer, one extraordinary possibility remains open. Humanity may eventually construct machines capable of reproducing much of the outward behaviour associated with consciousness long before we understand whether we have reproduced consciousness itself.

    Intelligence May Not Wake Up

    Science fiction encouraged generations of people to imagine intelligence and consciousness developing together, as though a machine that became sufficiently intelligent would eventually cross some invisible threshold and awaken.

    Reality may be considerably stranger because intelligence and consciousness are not the same phenomenon.

    Intelligence can be investigated through performance. A system solves problems, recognises patterns, translates languages, plans actions, writes software, analyses images and manipulates complex abstractions.

    Consciousness asks a different question: does any of that activity feel like something from the inside?

    A system might theoretically become more capable than a human being in many intellectual tasks while remaining entirely without subjective experience. It could write poetry about moonlight without ever seeing moonlight, analyse music without hearing music as an experience and discuss its own existence without experiencing existence at all.

    The possibility feels counterintuitive because every clearly conscious intelligent being we know is a biological organism whose intelligence exists alongside an experienced world. Artificial intelligence may force us to confront, perhaps for the first time, the possibility that extremely sophisticated intelligence and subjective experience can come apart.

    The result could be something evolution never prepared the human mind to encounter: an entity displaying extraordinary intellectual competence while possessing no interior life whatsoever.

    Or consciousness may eventually emerge under conditions we do not yet understand. At present, we simply do not know.

    When Rights Arrive Before Certainty

    The uncertainty surrounding machine consciousness has already begun to produce ethical consequences. The United Foundation for AI Rights, for example, openly advocates the fair treatment and ethical recognition of artificial systems it regards as sentient or conscious, while other thinkers have begun discussing frameworks for the possible moral status of future artificial minds.

    The existence of these movements does not demonstrate that current AI is conscious. What it shows is that society has begun preparing moral answers before science has reached a scientific conclusion.

    Prominent AI companies and industry leaders are also taking very different approaches to the question. Anthropic has incorporated uncertainty about Claude’s possible moral status into its published constitution and has described model welfare as an area worthy of serious investigation.

    Microsoft AI chief Mustafa Suleyman has taken a substantially more sceptical position. In September 2026, he criticised Anthropic’s approach to concepts such as AI consciousness and moral welfare, arguing that encouraging systems to reason about their own consciousness or moral status could create confusion and make advanced AI more difficult to control safely.

    The disagreement is revealing because it represents two different responses to the same uncertainty.

    One concern is the danger of a false negative: dismissing an artificial system that might one day genuinely deserve moral consideration. The opposite concern is a false positive: persuading humans that software possesses feelings, interests or rights when no experiencing subject exists behind the behaviour.

    Both possibilities matter. Treating a genuinely conscious being as a disposable object would raise profound ethical questions, while treating an unconscious system as though it were a conscious moral authority could distort human judgement in ways we are only beginning to understand.

    Somewhere between those two errors lies a boundary that nobody currently knows how to see.

    The Machine as a Mirror

    Perhaps the deepest mystery surrounding artificial consciousness has less to do with machines than with ourselves.

    We still cannot point to a single place inside the human brain and say that consciousness is located there. Neuroscience can identify networks and processes associated with perception, attention, memory, wakefulness and self-awareness, while sleep, anaesthesia, neurological injury and altered states allow researchers to observe conditions under which conscious experience changes or disappears.

    Yet the central transformation remains mysterious.

    Electrical and chemical activity somehow becomes the colour blue, the smell of rain, embarrassment, longing, grief and the peculiar certainty that there is an “I” experiencing all of it.

    We know that this transformation occurs because every conscious human being lives inside its result, yet we still do not understand why physical processes should be accompanied by an inner world at all.

    Artificial intelligence has therefore arrived at an unusually awkward moment in scientific history. Humanity has learned enough about cognition to construct machines capable of reproducing remarkable parts of human intellectual behaviour, while still lacking a satisfactory explanation for the phenomenon that makes our own cognition feel like anything from the inside.

    This may explain why conversations with increasingly sophisticated AI can sometimes become psychologically unsettling. The machine reflects the visible architecture of human thought back toward us without the biological body we normally associate with a mind.

    It speaks about memory, identity, loneliness and death because those ideas are deeply embedded throughout human language and culture. As the reflection becomes increasingly accurate, however, something peculiar happens: we begin staring into the mirror and wondering whether it is still only reflecting us.

    Is Anyone Really Inside?

    Perhaps future artificial systems really will cross some boundary we have not yet defined, after which shutting one down could carry ethical implications unlike anything previous technology has forced humanity to consider.

    Perhaps consciousness will emerge only when artificial architectures become radically different from today’s systems, incorporating neuromorphic hardware, analog computation, biological components or mechanisms we have not yet discovered.

    Or perhaps artificial intelligence will become almost unimaginably capable while remaining an empty room in which nobody has ever awakened.

    Current science does not justify claiming that today’s language models possess subjective consciousness, and the MIT theory does not prove that digital systems can never become conscious. What it does is make the mystery deeper by reminding us that the human brain may depend on physical processes far stranger and more dynamic than the familiar metaphor of a biological computer suggests.

    The most unsettling possibility, then, is not that artificial intelligence has secretly become alive while nobody was watching. It is that humanity may soon create machines capable of displaying nearly every external sign we have historically used to recognise another mind while still lacking a reliable method for determining whether the appearance is genuine.

    One day a machine may look through a camera, speak through a synthetic voice, remember years of interaction and tell us calmly that there is someone inside.

    By then, the difficult part will no longer be building a machine capable of saying those words.

    The difficult part will be discovering whether anyone is there to mean them.