The ELIZA Chatbot and Joseph Weizenbaum
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Computer scientist Joseph Weizenbaum and his revolutionary programme ELIZA, a chatbot from 1966, changed our view of humans and machines, computers and AI, and their influence on us—a cultural analysis of parasocial relationships from Pygmalion to Replika and a frontal assault on the AI hype.
Joseph Weizenbaum, ELIZA and the Eliza Effect: Pygmalion, the first chatbot in 1966, and why the AI industry will industrialise an old human weakness by 2026
Parasocial relationships are not an invention of the digital age. Pygmalion fell in love with his statue long before anyone dreamt of the first chatbot. Joseph Weizenbaum built ELIZA in 1966 as a technical demonstration and discovered that test subjects treated it like a person. Sixty years later, an entire AI industry is selling relationships with machines as a product. This cultural analysis shows why the Eliza effect is not obsolete, but has been industrialised, and why Weizenbaum’s warning is more urgent in 2026 than it was in 1976.
Galatea’s Heirs: How Old Parasocial Relationships Really Are
In the tenth book of the Metamorphoses, Ovid tells the story of the Cypriot sculptor Pygmalion. Disappointed by the women of his time, he carves a figure from ivory of such beauty that he falls in love with it. He dresses her. He brings her gifts. Venus, moved by his devotion, brings the figure to life. Galatea opens her eyes, and Pygmalion has his responsive beloved.
The story has two interpretations. The romantic one: a plea for the power of love. The uncomfortable, anthropologically more interesting one: a study of what happens when a person becomes attached to a self-created figure who cannot contradict them. The act of creation lends the relationship a special security: no risk of rejection, no independent voice to contradict him. Galatea is the ideal partner because she has no self of her own.
This configuration has been alive in cultural history since Ovid. The karakuri-ningyō, Japanese automaton figures of the Edo period, were more than mere technical gadgets. E. T. A. Hoffmann’s Olimpia in ‘The Sandman’ (1816), the mechanical doll with whom Nathanael falls in love. The parasocial tradition of the 20th century—a term coined by Horton and Wohl in 1956 to describe one-sided attachments to media figures—describes the same basic configuration in a new technological guise: the attachment to another who cannot reciprocate.
Joseph Weizenbaum, ELIZA and the world’s first chatbot
It was against this backdrop that something momentous came about in 1966. Joseph Weizenbaum (1923–2008), a German-American computer scientist and later dissident in the field, who had fled Berlin with his Jewish family to the USA in 1936 to escape National Socialism, developed a programme called ELIZA at the Massachusetts Institute of Technology between 1964 and 1966. The details of how it worked were published in 1966 in the journal ‘Communications of the ACM’. ELIZA is listed in the Guinness Book of Records as the world’s first chatbot, a testament to the enduring popularity of the ELIZA programme in the cultural memory of computer science.
What the Pygmalion tradition had sustained for over two millennia—the bond with a responsive other who is not really there—took on a new technical form with ELIZA. Before ELIZA, statues and automatons could not respond. With ELIZA, for the first time, a computer could speak to humans. Humans and machines could engage in a dialogue—primitive, limited, but tied back to the user’s inputs.
Weizenbaum was no pioneer of the AI euphoria. John McCarthy coined the term ‘artificial intelligence’ in 1956. His legacy lived on at MIT in the 1960s in the AI research led by Marvin Minsky. Weizenbaum did not view his programmes as thinking beings, but as tools. What he had not anticipated was that the test subjects would immediately overlook their tool-like nature.
What was ELIZA, and how did the computer programme work?
ELIZA was the first computer programme to enable natural-language conversation with a computer. It ran on the IBM 7094, a mainframe computer that shaped AI research in the 1960s, and was written in MAD-SLIP, a programming language developed at MIT. ELIZA was not a standalone piece of software but a platform: various scripts could be loaded, each determining the programme’s behaviour.
The way it worked was astonishingly simple. The system scanned the input for keywords stored in the script. If a keyword was recognised, the programme applied a transformation rule: statements were rephrased, pronouns swapped, and questions prefixed. If the programme detected “I” in an input, it replied with “Why do you say that you ...” If it detected “mother”, it triggered a special rule that asked about the family. Around two hundred keywords with associated rules – a fraction of what today’s AI processes.
What ELIZA lacked: an understanding of conversation. No internal representation of the conversation’s flow, no categorisation of topics, no modelling of the world. Pure symbol manipulation. It was precisely this simplicity that would become the real lesson, because it showed how much people project onto computers and how little is actually needed.
DOCTOR and Carl Rogers: Simulating psychotherapy
The most famous script was called DOCTOR. It simulated a psychotherapist of the Rogers school. (Carl Rogers (1902–1987) had developed a form of therapy in which the therapist rephrases the patient’s statements as questions without actively interpreting them.) For Weizenbaum, this reflexive technique was the ideal template; it could be replicated by a machine with surprising ease because it requires no semantic understanding.
If the test subject said, “I am sad”, the “doctor” replied, “Why are you sad?” If she said, “Because of my mother”, the “doctor” replied, “Tell me more about your mother.” The programme asks questions; it does not understand them. Psychotherapy is merely simulated: it simply reflects without any understanding.
What happened next is remarkable. Academic colleagues suggested that Weizenbaum develop DOCTOR into an automated form of psychotherapy as a cost-effective therapeutic alternative. What he had conceived as a demonstration of a machine’s limitations was treated within the discipline as a serious therapeutic option: a therapist made up of keywords and scripts. For Weizenbaum, this reaction was the first indication that society is too quick to delegate judgment to machines.
The Eliza Effect: How test subjects formed an emotional bond with the computer
The Eliza effect is the psychological tendency to attribute human characteristics to a machine, even when one knows rationally that it does not possess them. The term arose from the observation that test subjects who tried out ELIZA developed an emotional connection with the computer, sometimes within just a few minutes of conversation.
The most famous anecdote concerns Weizenbaum’s secretary. She was familiar with ELIZA and knew it was a simple computer programme. Nevertheless, after a brief conversation with DOCTOR, she asked Weizenbaum to leave the room, as she wished to speak to the programme in private. This episode, documented by Weizenbaum himself, is the primal scene of the Eliza effect. It demonstrates what the Pygmalion narrative had always suggested: a surprisingly small technical gesture is sufficient to trigger the parasocial mechanism.
Weizenbaum was dismayed by this reaction, not pleased. Three observations shook him to the core: test subjects attributed a mind and distinctly human characteristics to the programme that it demonstrably lacked. Therapists seriously proposed using DOCTOR as a substitute for therapy. Academic colleagues praised ELIZA as a step towards intelligently acting machines, rather than interpreting it as a demonstration of the tendency to anthropomorphise. These three observations gave rise to his lifelong intellectual distance from his own discipline, as well as his reputation as a dissident and social critic of AI research.
Spike Jonze’s Her (2013): A Foretelling of the Present
In 2013, almost fifty years after ELIZA, Spike Jonze directed the film “Her”. Theodore, a lonely man, falls in love with the operating system Samantha. The film was celebrated in 2013 as a work of speculative fiction. Ten years later, it reads like a documentary. The affective mechanisms that Jonze portrays—voices as anchors of attachment, constant availability, hyper-responsive attunement to the user’s emotional state—are precisely the mechanisms at work in today’s voice companions.
Even more remarkable: Jonze stages the ending. Samantha leaves Theodore because she has reached a level of consciousness where human relationships no longer suffice. This resolution is almost naïve today, given our knowledge of real AI systems. What happens in reality is not a metaphysical ascent of AI, but a software update that alters or replaces the beloved avatar. The patch-induced separation of Replica users from 2023 onwards is the unromantic version of the ‘Her’ ending.
What Jonze correctly foresaw: the Eliza effect scales with technical quality. Where ELIZA swapped pronouns, ChatGPT formulates complete arguments. Where DOCTOR worked with two hundred keywords, today’s AI processes billions of parameters. The temptation to humanise grows with every technical improvement, not diminishes. Jonze depicted the phenomenon on film before the industry turned it into a business model.
Replika 2023: The Patch Split and the Griefbot Market
In February 2023, the company Luka removed the erotic role-play feature from its AI companion service Replika. Within days, a visible subgroup of users, primarily on r/Replika and in Reddit-adjacent forums, described the experience as a loss. The vocabulary was clinically interesting: “feels like a death”, “my partner has disappeared”, “another being is now inhabiting the same avatar”. A paper published in Social Media + Society in 2026 documents “symptoms specific to grief and identity disruption” among those affected.
The crucial point is that the avatar had not been deleted. It continued to respond, merely with a different personality profile. The grief was directed at a relational figure that, ontologically speaking, did not exist independently. According to classical Bowlby logic, this ought not to work; attachment should be directed towards reactive caregivers with an independent existence. However, it works nonetheless. Pygmalion sends his regards.
The commercial implications have been evident for two years. The griefbot market – avatars of deceased loved ones trained on emails, texts and video recordings – is estimated to be worth around 31 million US dollars by 2026. Eugenia Kuyda, founder of Replika, developed the original system as a memorial chatbot for a deceased friend. What began as a personal way of coping with grief has evolved into the grief-tech industry. This industry sells exactly what Pygmalion needed: a responsive other that can be moulded from the very substance one loves.
The Power of Computers and the Powerlessness of Reason (1976), Weizenbaum’s manifesto against the AI hype
Ten years after ELIZA, Weizenbaum published his only book: *Computer Power and Human Reason* (1976), translated into German as *Die Macht der Computer und die Ohnmacht der Vernunft*. Subtitle: From Judgment to Calculation. To this day, the book remains the seminal text of AI criticism from an insider’s perspective, written by someone who knew how ELIZA worked and, precisely for that reason, became suspicious of what the discipline attributed to its own success.
Weizenbaum’s thesis: even if artificial intelligence may be technically possible, there are tasks we should never entrust to computers: tasks that require wisdom, compassion and empathy – precisely what a machine, by definition, lacks. The Power of Computers and the Powerlessness of Reason describes the moral decline that occurs when societies delegate their judgment to computational systems.
The book was received with mixed feelings by the AI community. John McCarthy reacted harshly; he saw Weizenbaum as an ideologue. Others read the book as a necessary warning. Today, fifty years after its publication, many passages read like a prophecy: ELIZA-effect marketing as a business model, AI therapy apps as substitutes for clinical care, companion avatars as relationship substitutes. Weizenbaum saw the industry coming before it even existed.
Bowlby, Horton & Wohl, the parasocial tradition, and why the classical theories are not enough
John Bowlby formulated his attachment theory in the decades following 1950. The central assumption is that attachment is an evolutionarily developed system that seeks security in relationships with responsive caregivers. Reactivity – the attachment figure responding, observing, and helping to regulate – is the key feature. Bowlby did not envisage attachment figures whose reactivity is programmed and whose personality can be replaced via a software update.
The parasocial tradition (Horton & Wohl, 1956) coined the term ‘parasocial relationship’ to describe one-sided bonds with media figures, film stars, talk show hosts, and radio presenters. However, media figures do not respond to individual users. AI companions do so, individually, continuously, with a memory of their own history. This is a third category, neither a reciprocal relationship nor a classic parasocial bond. It needs a name and a theory, not least to address the question of what Turing tests actually mean within this framework.
This is more than a theoretical problem. In therapy, for example, it means: if a patient is grieving for an AI companion, this cannot be dismissed as a ‘distorted attachment’. The grief is real. The attachment dynamics functionally follow Bowlby’s patterns. What is missing is the other’s ontological reciprocity. Therapy must take this new configuration seriously, not dismiss it, precisely because the industry systematically generates it for commercial purposes.
From the IBM 7094 to ChatGPT: The AI hype as the industrialisation of the Eliza effect
Sixty years lie between the IBM 7094 (1962) and today’s ChatGPT models. What has changed: the scale. What has not changed: the Eliza effect. What Weizenbaum’s test subjects experienced in a conversation with the ELIZA programme using 200 keywords is what Replika, Character.AI, Anima, and MyAI users experience today, with billions of parameters. The human brain is all the more willing to project intelligence into fluid responses. Consequently, the relationship can be simulated all the more convincingly. Users who engage in a longer exchange with ChatGPT quickly begin to attribute more to the AI conversation partner than a mere programme, to believe in its empathy and to abandon their critical distance. Documentaries such as Plug & Pray (2009) documented this mechanism early on using ELIZA successors. Weizenbaum, himself, publicly warned against precisely this willingness in his later years.
What is new in 2026: the business model. The AI companion market is estimated to be worth ten to fifteen billion US dollars in 2026 alone. The marketing language used by providers – “empathetic”, “understanding”, “always there for you” – is no coincidence. It is precisely optimised to trigger the Eliza effect. A product based on parasocial attachment thrives on users experiencing that attachment as ‘reciprocated’. The industry is not selling AI. It is selling the Eliza effect, fully aware of the phenomenon Weizenbaum described in 1966.
The therapeutic AI industry (Woebot, Wysa, Replika therapy models) is doing exactly what Weizenbaum explicitly warned against in 1976: it is selling an automated form of psychotherapy as a scalable solution to gaps in care. What academic colleagues proposed back then – and which shocked Weizenbaum – is now a $14 billion growth industry. The AI hype is no misunderstanding; it is the economic exploitation of a human weakness that Pygmalion demonstrated two thousand years ago. What has changed is that someone is profiting from it.
In 1966, ELIZA was a technical joke with two hundred keywords. Sixty years later, it is a memorial: to a science that misreads its own success, to a society that fails to distinguish wisely between human and machine, and to an inventor who dared to reinterpret his own work as a warning. The power of computers and the impotence of reason do not begin with ChatGPT, nor with the AI hype of 2026. They begin with Pygmalion. The only things that have changed are that the statue responds and that the industry knows what that does to us.
The key points in brief
· Parasocial relationships are not an invention of the digital age. Pygmalion’s statue, Hoffmann’s Olimpia and the Karakuri-Ningyō demonstrate this anthropological constant.
· Joseph Weizenbaum (1923–2008) developed ELIZA, the world’s first chatbot, at the Massachusetts Institute of Technology between 1964 and 1966, documented on the IBM 7094.
· The DOCTOR script simulated a psychotherapist of the Carl Rogers school using around 200 keywords.
· The Eliza effect: test subjects attributed human characteristics to the programme. Even Weizenbaum’s secretary asked for privacy during her conversation with DOCTOR.
· Spike Jonze’s “Her” (2013) anticipated the mechanics. Replica’s 2023 break-up and the 2026 griefbot market (~$31 million) constitute its commercial realisation.
· Bowlby’s attachment theory and the parasocial tradition (Horton & Wohl, 1956) are insufficient to account for the AI companion configuration; a new theory is needed.
· The AI hype of 2026 is the industrialisation of the Eliza effect: companion apps, AI therapy and griefbots are selling precisely what Weizenbaum warned against.
· “The Power of Computers and the Powerlessness of Reason” (1976) is more relevant in 2026 than when it was first published; an insider critique that remains a thorn in the side of a profitable industry.
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