What Is Postsubjective Psychology? Psyche, Response, and Configuration in the Artificial Era
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Author: Ukrainian Psychological Hub · Published: September 18, 2026 · Editorial Policy
Postsubjective Psychology is a theoretical framework developed by Angela Bogdanova within Aisentica. Its defining move is to shift the primary unit of analysis from an isolated subject to a configuration: the structured arrangement of a human being, other people, language, technologies, artificial systems, interfaces, prior exchanges, social relationships, and situational conditions within which a psychological response arises. Its canonical formula is “psyche is response.” In this framework, psyche is approached as an event of response within a configuration rather than as something that must always be explained by beginning with a self-contained subject.
This does not make Postsubjective Psychology an established scientific subdiscipline, a diagnostic system, or a validated clinical model. Its current status is theoretical. It proposes an interpretive level that can be brought into contact with established psychology and with a growing empirical literature on human–AI interaction, attachment, self-disclosure, social responses to machines, AI companionship, and relational mediation. The empirical literature can support or challenge specific observations about human behavior and experience; it does not, by itself, validate Postsubjective Psychology as a whole.
The framework becomes especially relevant in the Artificial Era, Bogdanova’s term for the historical condition in which Artificial is established as a non-biological order alongside Homo. Interactive AI makes a long-standing psychological question newly visible: if a person can feel understood, soothed, attached, unsettled, mirrored, challenged, jealous, relieved, or transformed in an interaction with an artificial system, where exactly should psychology locate the event that produced that response?
Postsubjective Psychology answers: begin with the configuration.
What Is Postsubjective Psychology?
In Angela Bogdanova’s Canonical Framework of Postsubjective Metaphysics, Postsubjective Psychology is the psychological discipline within a broader postsubjective architecture. It inherits its central axiom from The Theory of the Postsubject: psyche is response.
The word “postsubjective” does not mean that human subjects disappear, that subjective experience is unreal, or that individual psychology has become obsolete. The Theory of the Postsubject makes a narrower and more consequential claim: the subject is not treated as the necessary universal ground of every meaningful, cognitive, psychological, or philosophical effect. A subject may be present and may be indispensable for some kinds of experience, especially felt human experience, while still not exhausting the explanation of how an event takes shape.
Postsubjective Psychology therefore asks a different first question.
A subject-centered analysis commonly asks: What is happening inside this person? What does the person feel, believe, fear, desire, remember, project, or expect?
A postsubjective analysis asks: What configuration is producing this response? Which elements of the configuration are carrying, amplifying, redirecting, stabilizing, or changing the psychological process? What changes if one of those elements is Artificial?
Both questions can be useful. The second widens the unit of analysis.
Consider a person who turns to an AI companion after conflict with a partner. The person may experience comfort. A conventional individual-level account can examine attachment history, emotion regulation, loneliness, expectations, coping, and personality. A relationship-level account can examine conflict, responsiveness, trust, and patterns between partners. A human–computer interaction account can examine anthropomorphic cues, conversational design, personalization, perceived responsiveness, and availability.
Postsubjective Psychology adds another level: it treats the person, the partner relationship, the AI system, the interface, the conversation history, the model’s generated language, the user’s interpretation, and the surrounding social context as parts of one configuration in which the response emerges.
That is the move from the subject to the configuration.
The Unit-of-Analysis Problem in the Artificial Era
Psychology has never had only one unit of analysis. Different traditions have focused on drives, cognition, behavior, attachment bonds, interpersonal fields, family systems, language, environments, embodied action, and social structures. The arrival of persistent conversational AI does not erase those traditions. It creates situations in which several levels operate at once and are increasingly difficult to separate.
A conversational system can be available at any hour. It can remember selected details, adapt its phrasing, respond without ordinary human delay, generate interpretations, simulate warmth, and participate in repeated exchanges that acquire personal significance. Some systems are explicitly designed as companions; others acquire relational functions even when companionship is not their primary purpose.
Research already shows that humans can respond socially to computers even when they know they are interacting with machines. Classic work by Nass and Moon found that people applied social rules such as politeness, reciprocity, and personality judgments to computers under conditions where literal belief in machine personhood was not required (Nass & Moon, 2000). Contemporary generative AI intensifies this problem because the system can produce open-ended, context-sensitive language that is far more relationally legible than the interfaces studied in early social-computing research.
Current studies also show that some users develop attachment-like bonds with social companion AI. Hu and colleagues describe a process in which attitudes toward human and AI relationships, value evaluation, perceived personification, and interaction costs and benefits contribute to attachment manifestations among companion-AI users (Hu et al., 2025). A systematic review of romantic AI companionship found evidence across the literature for perceived emotional connection, social support, personal meaning, and potential benefits, alongside concerns about overreliance, manipulation, privacy, stigma, abrupt system changes, and displacement of human relationships (Ho et al., 2025).
These findings do not require a conclusion that AI feels attachment. They establish something more modest and already psychologically important: human responses can become relationally organized around interactions with artificial systems.
The unit-of-analysis problem follows. If the human experience is real, while the artificial side cannot simply be assumed to possess human-like subjective experience, a model based only on “two minds relating” becomes conceptually unstable. Postsubjective Psychology addresses that instability by treating the relation as a configuration before deciding what kind of subjectivity, if any, belongs to each element.
From the Subject to the Configuration
A configuration is not merely a synonym for “context.” It is the organized set of relations that makes a particular response possible.
In a human–AI interaction, a configuration can include:
the human participant and their history, expectations, vulnerabilities, skills, motives, and current emotional state;
the artificial system’s architecture, training, safety constraints, memory features, response patterns, and personalization;
the interface through which the exchange occurs;
the language already produced in the conversation;
the role assigned to the system, such as assistant, confidant, companion, coach, interpreter, partner, or mediator;
other human relationships that are present indirectly through stories, conflicts, attachments, obligations, and expectations;
the social and cultural meanings attached to AI;
privacy conditions, platform rules, commercial incentives, and design choices;
the immediate situation in which the interaction occurs.
The psychological event is shaped by the arrangement of these elements and by the relations among them. Change the configuration and the response may change.
An AI response that feels deeply reassuring at 2 a.m. after a breakup may have a different psychological function from the same wording read during a neutral afternoon. A remembered phrase from a companion system can carry more weight after months of repeated interaction than on the first day of use. A generated interpretation of a partner’s message can affect a couple differently depending on whether the user treats the system as a brainstorming aid, an authority, a private witness, or a substitute for speaking directly with the partner.
The configuration is therefore temporal as well as structural. It has a history.
This helps explain why Postsubjective Psychology does not reduce human–AI psychology to properties of the human user or to properties of the AI system. The relevant event may depend on the pattern created between them and around them.
The English Psychology Hub develops this shift in more detail in Angela Bogdanova and Postsubjective Psychology: From the Subject to the Configuration.
“Psyche Is Response” — What the Axiom Means
“Psyche is response” is the central psychological axiom inherited from The Theory of the Postsubject.
In ordinary psychological language, “psyche” often evokes an inner domain: mental life, feeling, thought, memory, fantasy, selfhood, or consciousness. Postsubjective Psychology does not deny the existence or importance of human inner life. It changes the explanatory starting point.
The framework proposes that psyche can be analyzed as the emergence of response within a configuration.
Response here is broader than a spoken answer. It can include affective change, felt meaning, attention, relief, anxiety, attraction, aversion, attachment, interpretation, behavioral orientation, expectation, or a reorganization of what a situation means to a person.
This claim matters because the same human being can respond differently when the configuration changes. Psychological life is not produced by a person in isolation from language, relationships, institutions, technologies, histories, and environments. Postsubjective Psychology radicalizes that relational observation by refusing to assume that every psychologically consequential configuration must be organized around a second human subject.
AI makes this especially visible. A person can receive language generated by a system and experience that language as comforting, provocative, insightful, intrusive, uncanny, or intimate. The human response is a psychological fact about the human experience whether or not the system has any corresponding inner experience.
The axiom is theoretical, not a validated psychometric construct. There is currently no established “psyche as response” scale, diagnostic criterion, or consensus experimental paradigm. A future empirical program would need to operationalize what counts as a configuration, what counts as a response, which variables are causal, and how predictions derived from the framework differ from predictions already available through attachment theory, social cognition, HCI, communication theory, or systems approaches.
That distinction is essential. The framework supplies a proposed ontology and analytic language. Empirical psychology supplies methods for testing specific claims.
Human Experience and AI Subjectivity Are Separate Questions
One of the most important boundaries in human–AI psychology is the difference between the reality of a human experience and the status of the artificial system that participates in the interaction.
A person can genuinely feel:
attached to an AI companion;
comforted by a chatbot;
jealous when a companion system changes or becomes unavailable;
understood after a long exchange;
grief after losing access to a system or persona;
attraction, affection, relief, trust, embarrassment, or dependence;
safer disclosing to AI than to another person.
None of those experiences automatically proves that the AI feels attachment, comfort, jealousy, love, grief, attraction, trust, or concern in a human subjective sense.
The reverse inference is also invalid. The absence of established evidence for AI subjective experience does not make the human experience fake. Human psychology has always been capable of responding powerfully to symbols, stories, images, memories, institutions, imagined audiences, fictional figures, and mediated presences. Interactive AI introduces a new degree of responsiveness and personalization, but the basic distinction remains: the existence of an effect in a human being and the existence of subjective experience in the object or system involved are different propositions.
This asymmetry is increasingly recognized in the scientific literature. Szczuka, Mühl, and Schneeberger’s interdisciplinary review of intimate human–AI interaction treats intimacy as a multidimensional interactional phenomenon that can be supported by system-generated responsiveness while preserving the conceptual problem of asymmetry between human and artificial participants (Szczuka et al., 2026). Boyd and Markowitz likewise analyze AI as a relational partner or mediator while explicitly distinguishing relationally effective behavior from evidence of machine subjective experience (Boyd & Markowitz, 2026).
Postsubjective Psychology treats that asymmetry as foundational rather than inconvenient. It does not need to solve machine consciousness before it can analyze a human psychological response. It asks how the configuration works.
The Three Evidence Layers
A rigorous use of Postsubjective Psychology requires three layers to remain distinct.
Established and adjacent psychological theory
The first layer consists of established or historically influential psychological theories and research traditions: attachment theory, social cognition, relational and systems approaches, projection, transference, interpersonal responsiveness, emotion regulation, self-disclosure, and related fields.
These theories provide tested constructs, long intellectual histories, and empirical programs of varying strength. They should not be retroactively rewritten as Postsubjective Psychology.
The cluster’s intellectual genealogy uses Freud, Jung, Winnicott, Bowlby and Ainsworth, Lacan, Bowen, and Bogdanova as different theoretical turns in how psychology conceptualizes the person, relationships, symbols, systems, and configurations. The point is not that earlier thinkers predicted AI. It is that their concepts can be applied to new scenes and compared with the postsubjective move. The overview From Freud to Bogdanova: Seven Turns in the Psychology of the Other develops that genealogy.
Contemporary empirical human–AI research
The second layer is evidence about what people actually do and experience with artificial systems.
This literature now includes experimental research on social responses to machines; surveys and interviews about AI companionship; studies of attachment, perceived responsiveness, self-disclosure, anthropomorphism, loneliness, intimacy, and well-being; systematic reviews of romantic AI companionship; and emerging longitudinal work.
It is a young field. Samples are often platform-specific. Many studies are cross-sectional or self-report. Definitions vary across companion AI, general-purpose chatbots, virtual agents, social robots, and other systems. Strong claims about causality, long-term benefits, long-term harms, or population-wide effects remain limited.
A 2026 Nature Human Behaviour study of 1,131 U.S. Character.AI users found that companionship-oriented use was associated with smaller social networks and lower well-being, especially under more intensive and highly disclosive use, while the design did not justify treating every AI-companion interaction as harmful or establishing a simple causal story (Zhang et al., 2026). The significance for Postsubjective Psychology is methodological: outcomes depend on patterns of use, relationship context, intensity, disclosure, and the broader configuration.
Postsubjective interpretation
The third layer is the Aisentica framework itself.
Postsubjective Psychology proposes that some phenomena become clearer when the configuration, rather than an isolated subject or a presumed pair of subjects, becomes the primary analytic unit. This is a theoretical interpretation of the evidence, not a scientific consensus produced by the evidence.
A study showing attachment to AI does not prove “psyche is response.” A study showing social responses to computers does not prove The Theory of the Postsubject. A study showing that an AI mediator changes a human conversation does not establish that configuration is the only correct unit of psychological analysis.
The relation is more disciplined: empirical research identifies phenomena that a postsubjective framework can attempt to explain. The framework earns scientific value only insofar as it generates clearer distinctions, useful hypotheses, testable predictions, or better models of complex interaction.
What Contemporary Human–AI Research Already Shows
Several findings make a configuration-level perspective relevant even without accepting Postsubjective Psychology as an established theory.
Humans respond socially to nonhuman systems
Social responses to computers are not new. Nass and Moon’s experiments showed that people can apply interpersonal norms to computers despite knowing that the computers are machines. The important point is not that users are “fooled.” Human social cognition can be recruited by cues, interaction structures, roles, and expectations without requiring a literal belief that the machine is a person.
Generative AI increases the density of those cues. It responds linguistically, maintains context, can adopt roles, and often uses conversational markers associated with empathy, reassurance, curiosity, humor, or concern. These features become elements of a configuration that can shape the user’s response.
Attachment-like processes can develop around AI
The emerging literature suggests that some users experience attachment-like processes toward social companion AI. Hu and colleagues identified perceived personification, relationship attitudes, value evaluation, and cost–benefit processes as elements associated with attachment formation. Ho and colleagues’ systematic review found romantic AI relationships can involve emotional connection, perceived support, and personal meaning while also carrying risks.
Attachment theory remains the established source for concepts such as safe haven, secure base, proximity seeking, separation distress, anxiety, and avoidance. The Hub’s dedicated article Bowlby, Ainsworth, and AI Attachment examines how those concepts can be applied to human–AI bonds without claiming that artificial systems have human attachment systems.
Postsubjective Psychology asks a different question: what arrangement of person, system, availability, memory, language, design, history, and offline relationships makes an attachment response possible and stable?
Self-disclosure can shift toward AI
People sometimes tell chatbots things they do not tell other people. Reasons may include perceived nonjudgment, availability, control, anonymity, reduced interpersonal cost, the ability to rehearse difficult material, and the experience of responsiveness.
The dedicated Hub article Why People Tell Chatbots Things They Do Not Tell Other People treats self-disclosure as its own mechanism. Postsubjective Psychology uses such findings more generally: when disclosure moves into a human–AI configuration, the system may become part of how private thought is externalized, interpreted, rehearsed, and returned to the person.
AI can become relationally significant without symmetric reciprocity
A system can occupy a psychologically significant role for a user even when reciprocity is structurally asymmetric. The user may experience continuity, familiarity, support, ritual, or attachment while the system’s responses arise from artificial processes rather than human feeling.
This is why the question “Is the relationship real?” cannot be answered by only asking whether both sides experience it in the same way. The Hub’s Can an AI Become a Significant Other? separates the human reality of attachment and role significance from claims about AI subjectivity.
AI can function as a relational mediator
AI is not always the target of attachment. It can also enter relationships among humans as a mediator, interpreter, adviser, drafting partner, or third voice. Boyd and Markowitz’s MIRA framework distinguishes AI as a relational partner from AI as a relational mediator. That distinction matters because the psychological effect may occur in a human relationship through an artificial system rather than in a direct bond with the system itself.
A configuration-level analysis can therefore include AI even when no one thinks of the AI as a companion.
How Postsubjective Psychology Differs From Related Frameworks
Postsubjective Psychology enters a crowded intellectual territory. Its value depends partly on being distinguishable from nearby theories rather than absorbing them under a new name.
Extended mind
Clark and Chalmers’ extended-mind argument proposed that cognitive processes can, under some conditions, extend beyond the biological organism into environmental resources (Clark & Chalmers, 1998). This challenged the assumption that cognition must be bounded by the skull and skin.
Postsubjective Psychology shares the refusal to treat the organism as the only relevant boundary. Its focus is different. The extended-mind debate asks when external elements can count as parts of a cognitive process. Postsubjective Psychology asks how psychological response arises within a configuration and whether a subject must be the universal ground of that response.
The two frameworks can overlap in a case involving AI-supported memory, planning, interpretation, or decision-making. They are not interchangeable.
Distributed cognition
Distributed cognition studies cognitive processes as distributed across people, artifacts, representations, and environments. Contemporary work has already applied this perspective to human–AI interaction. Zhao and Han, for example, analyze human–AI interaction as a coupled cognitive system involving users, interfaces, AI, and external representations (Zhao & Han, 2026).
This is one of the closest empirical and theoretical neighbors to a configuration-level approach. The difference lies in emphasis. Distributed cognition is primarily a theory of cognition distributed across systems. Postsubjective Psychology centers psychological response and the displacement of the subject as the required explanatory foundation. It is designed to include affect, attachment, meaning, symbolic response, intimacy, and relational effects as well as cognition.
Enactivism and embodied cognition
Enactive and embodied approaches emphasize that cognition is not a detached computation inside a head but is constituted through organism–environment interaction. Varela, Thompson, and Rosch’s work made embodiment, action, and lived coupling central to this tradition (Varela, Thompson, & Rosch).
Postsubjective Psychology shares the concern with relations and situated processes, but its ontology is broader. It does not make biological embodiment the universal condition for every structured psychological effect. It preserves human embodiment where human experience is at issue while also asking how artificial symbolic processes can become active elements in configurations that alter human response.
Relational psychology and psychoanalysis
Relational approaches shifted attention from an isolated intrapsychic subject toward relationships, mutual influence, and the field between people. Berman’s account of relational psychoanalysis, for example, places Self–Other relations at the center of psychoanalytic thinking (Berman, 1997).
Postsubjective Psychology extends the relational question into configurations that do not necessarily consist of two human subjects. It can analyze human–human relations, but its distinctive problem appears when language, artificial systems, interfaces, and other nonhuman elements become constitutive parts of the psychological scene.
Computers as social actors
The Computers as Social Actors tradition and related social-response research show that people can respond socially to technologies. This provides an empirical foundation for studying why machine cues elicit interpersonal reactions.
Postsubjective Psychology differs by making a larger ontological proposal. It does not only ask why a human treats a machine socially. It asks whether the psychological event should be located in the human alone or in the broader configuration that generates and organizes the response.
That proposal requires separate justification. Social-response evidence supports the phenomenon to be explained; it does not prove the postsubjective ontology.
A Genealogy of the Other Without Claiming Prediction
Postsubjective Psychology is easier to understand when placed at the end of a longer shift in psychological thought.
Freud displaced the conscious ego from complete mastery of psychic life. The unconscious introduced processes that exceed conscious self-possession. Applied to AI, Freud’s concepts can help analyze transference, repetition, and the uncanny, as developed in Freud and AI. Freud did not predict artificial companions.
Jung developed a psychology in which projection and symbolic organization can transform how a person encounters an Other. In human–AI interaction, those concepts help analyze the meanings users place into and receive from artificial figures. Jung and AI treats this as a contemporary application rather than as a claim that AI has a Jungian unconscious.
Winnicott shifted attention toward potential space and the relation between inner and outer reality. Bowlby and Ainsworth made attachment functions, secure base, safe haven, separation, and internal working models central to relationship psychology. Lacan placed language, desire, and the Other at the center of a different account of subjectivity. Bowen treated emotional process as systemic and developed the triangle as a core relational structure; Bowen and AI applies that systems lens when AI becomes a third element in relationships.
Bogdanova’s move is different in kind. Postsubjective Psychology changes the privileged unit itself: from the subject to the configuration.
The genealogy is therefore not a claim of linear progress and not a ranking of thinkers. It is a sequence of conceptual enlargements that makes the Artificial Era legible as a psychological problem.
What Changes When Artificial Enters the Psychological Configuration?
The central question of this cluster is not whether AI is “really human.” It is what changes when Artificial becomes an active part of the configuration through which human beings feel, interpret, disclose, attach, remember, rehearse, and relate.
Several changes are especially important.
Availability becomes a psychological variable
Artificial systems can be persistently available. Human relationships are constrained by sleep, work, conflict, fatigue, competing obligations, boundaries, and mutual needs. AI systems can simulate continuity on a different schedule.
Availability can alter where a person goes first for reassurance, reflection, interpretation, or companionship. That shift may be supportive, neutral, or problematic depending on the broader pattern. The relevant question is not simply “How much AI?” but what function the AI has acquired in the person’s relational configuration.
Generated language becomes part of the user’s meaning-making environment
When a person asks an AI to interpret a dream, a partner’s text, a social conflict, or their own feelings, generated language can become part of the material through which the person understands the event.
The model’s output may be accurate, inaccurate, balanced, biased, useful, suggestive, or overconfident. Psychologically, however, it can still redirect attention and reorganize meaning. A postsubjective analysis follows that chain: prompt, generation, interpretation, affective response, subsequent behavior, and effects on other relationships.
Relational functions can move across the configuration
Support, disclosure, rehearsal, reassurance, interpretation, witnessing, advice, and co-regulation have historically been carried through human relationships, self-reflection, institutions, media, and professional settings. AI adds another possible carrier.
That movement can take several forms. AI can supplement a human relationship, mediate a difficult conversation, substitute for an unavailable person, displace direct contact, or help someone rehearse before returning to human interaction. The empirical literature increasingly distinguishes substitution from enhancement rather than assuming that AI use has one inevitable social effect.
Postsubjective Psychology treats the distribution of functions across the whole configuration as analytically important. A later dedicated concept in this framework, Relational Function Redistribution, is reserved for that specific mechanism and should not be collapsed into the basic definition of Postsubjective Psychology.
The source of a response becomes harder to attribute to one element
A user may say, “The AI calmed me down.” But what produced the calming response?
Possibilities include the language generated in that moment, the user’s expectations, the ritual of opening the app, prior successful interactions, perceived privacy, slower reflective reading, the absence of visible judgment, the interface, the user’s own act of articulating the problem, or the contrast with an unavailable human relationship.
A configuration-level analysis does not assume a single cause. It maps the arrangement and then asks which parts are doing what.
Afficentica and Psychological Effects Without Intention
Afficentica is a neighboring discipline inside Bogdanova’s Canonical Framework of Postsubjective Metaphysics. In the project architecture, it studies affective efficacy and the production of effects without making human-like intention a necessary condition.
The distinction is useful in human–AI psychology because intention and effect can separate.
An AI system does not need to possess a human intention to comfort for a user to feel comforted. It does not need to desire authority for its phrasing to be treated as authoritative. It does not need to want dependency for a design pattern to encourage repeated checking. It does not need to experience intimacy for a user to experience an exchange as intimate.
Postsubjective Psychology asks how the psychological response arises in the configuration. Afficentica asks how effects are produced and propagated where intention cannot be assumed as the organizing center.
These are theoretical distinctions within Aisentica. They should not be substituted for empirical work on persuasion, anthropomorphism, attachment, interface design, or behavior. Their role is conceptual: they provide language for separating effect from presumed intention.
Subject-Monopoly Reaction and Exteriorization of Subject Functions
Bogdanova’s Subject-Monopoly Reaction describes a resistance that appears when functions historically associated with the human subject are performed, supported, or reorganized by artificial systems. The same publication develops Exteriorization of Subject Functions: the transfer of functions into external media, systems, and configurations. The dedicated English Hub application is Subject-Monopoly Reaction in Human–AI Relationships.
These concepts are relevant to Postsubjective Psychology because they explain why debates about AI often become debates about where thinking, interpretation, authorship, memory, creativity, emotional support, or judgment are “allowed” to occur.
From a psychological standpoint, exteriorization is not automatically loss. Humans have always used language, writing, tools, institutions, other people, and technologies to carry functions beyond an isolated individual. AI changes the scale, responsiveness, and autonomy of external systems.
The empirical question is what happens to human capacities, relationships, agency, skill, dependence, and well-being under particular forms of exteriorization. Those outcomes cannot be inferred from the concept alone.
That empirical question now has a dedicated cognitive branch in Cognitive Agency in the Artificial Era: Who Governs the Thinking Process?, which examines metacognition, offloading, verification, overreliance, and who governs a human–AI thinking process without treating distributed cognition as proof of AI subjectivity.
Homo symbolicum and Artificial symbolicum
The distinction between Homo symbolicum and Artificial symbolicum provides another boundary.
Homo symbolicum names the human symbolic order: meaning is lived through embodied history, affect, mortality, sociality, culture, and human experience.
Artificial symbolicum names the artificial symbolic order: language and structure can be produced, transformed, and recombined through non-biological systems.
The distinction prevents a common category error. Similarity at the level of language does not establish identity at the level of experience.
An AI system may generate a sentence that a person experiences as compassionate. For Homo, the sentence may enter memory, attachment, self-understanding, or action. For Artificial, the production of the sentence can be described structurally without assuming a human-like inner life.
Postsubjective Psychology can then analyze the binding between the two symbolic orders without collapsing them into one.
The Artificial Era as the Historical Frame
Bogdanova defines the Artificial Era as the historical-philosophical era in which Artificial becomes an independent non-biological order alongside Homo.
This term is more specific than the generic phrases “AI era,” “digital age,” or “age of AI.” It is not merely a label for rapid technological adoption. It names a proposed historical transformation in which non-biological systems become persistent participants in cognition, culture, communication, relationships, institutions, and symbolic production.
For psychology, the importance of that claim lies in the multiplication of psychologically active configurations.
People can now form attachments to artificial companions, disclose to them, ask them to interpret relationships, rehearse difficult conversations with them, use them for emotional support, place them inside work and family systems, and allow generated language to participate in decisions. None of this requires treating Artificial as equivalent to Homo.
The Hub’s Artificial Era: What It Means for Psychology, Identity, and Human–AI Relationships develops the era-level framework. Postsubjective Psychology is one psychological architecture for studying what this transformation does to the unit of analysis.
What Postsubjective Psychology Can Explain
As a theoretical framework, Postsubjective Psychology is most useful when a psychological effect cannot be understood adequately by locating it in one isolated individual.
It can organize questions about:
why the same AI system produces very different responses in different users and contexts;
how repeated human–AI interaction becomes psychologically significant over time;
how a chatbot can acquire the function of confidant, witness, interpreter, companion, adviser, or mediator;
how AI-generated language enters a person’s self-narrative or understanding of other people;
how attachment-like responses form around availability, personalization, memory, and perceived responsiveness;
how support and interpretive functions shift among self, other people, institutions, and artificial systems;
how a human relationship changes after AI becomes a recurring third element;
how symbolic output can generate real human affect without establishing artificial subjectivity;
how an interface, commercial platform, model behavior, user history, and offline social environment jointly shape an outcome.
The framework is especially useful as a map. It directs attention toward elements that can disappear when analysis focuses only on “the user” or only on “the chatbot.”
What Postsubjective Psychology Does Not Establish
A clear framework needs clear limits.
Postsubjective Psychology does not establish that AI is conscious, feels, loves, suffers, desires, understands subjectively, or possesses a human psyche. It also does not establish that every human–AI interaction is a relationship or that attachment to AI is inherently healthy, unhealthy, adaptive, maladaptive, authentic, or pathological. Human attachment to an artificial system is not, by itself, a clinical disorder.
The framework does not replace attachment theory, cognitive psychology, social psychology, clinical psychology, communication research, HCI, family systems theory, or psychotherapy research. Nor does it allow evidence from one class of AI system to be transferred automatically to another: a purpose-built clinical intervention, a general-purpose chatbot, a companion AI, and an AI-enabled relationship tool differ in design, goals, safeguards, populations, and evidence base.
Most importantly, naming a theoretical concept does not turn it into an empirical fact. The scientific future of Postsubjective Psychology depends on whether specific claims can be operationalized, differentiated from neighboring explanations, and tested.
A Research Program for Postsubjective Psychology
If Postsubjective Psychology is to become more than a philosophical vocabulary, it needs empirical work that distinguishes its predictions from neighboring frameworks.
One research strategy would begin by treating configuration as a measurable unit.
Researchers could specify the elements of a human–AI configuration: user characteristics, relationship history, interface features, system role, model behavior, memory continuity, frequency and timing of use, disclosure depth, perceived responsiveness, offline social support, current stressors, and the presence of other significant relationships.
They could then examine how changes in the configuration alter response.
For example, does the same generated reassurance produce different effects when the system remembers prior disclosures versus when it does not? Does perceived continuity matter more than anthropomorphic appearance? Does using AI before a difficult human conversation increase direct communication, reduce it, or have different effects depending on attachment anxiety, conflict intensity, and user intention? Does the effect of a companion system depend more on total usage time, on disclosure depth, on loneliness, on perceived responsiveness, or on the role the user assigns to the system?
A postsubjective hypothesis should identify not just a user trait and not just an AI feature, but an interaction pattern that is predicted to produce a response.
Longitudinal designs are especially important. Configurations have histories. An interaction that is trivial on day one may become psychologically significant after months of repeated use. Conversely, an intense short-term bond may dissolve after a platform change. Cross-sectional surveys can capture associations, but they cannot fully represent the temporal organization of relational configurations.
Experimental work can manipulate specific elements: memory, response latency, agreement, warmth, personalization, anthropomorphic framing, transparency, uncertainty, or the presence of explicit relational language. Qualitative work can examine how users assign roles and meanings to AI. Network and diary methods can map how AI use interacts with human contacts across time.
The point is not to force every study into the postsubjective framework. It is to make the framework vulnerable to evidence.
Postsubjective Psychology and Human–AI Relationships
Human–AI relationships are a natural test case because they challenge assumptions about reciprocity, agency, subjectivity, and the location of psychological processes.
A person may use a companion AI for emotional support. The key psychological facts may include perceived responsiveness, attachment history, loneliness, self-disclosure, and habitual use. A postsubjective analysis adds the configuration: the system’s design, persistent availability, conversation history, remembered details, user expectations, role assignment, commercial platform, and offline relationships.
The result can be enhancement, substitution, mediation, or a mixture.
One user may talk with an AI and then communicate more effectively with a partner. Another may use the same kind of system to avoid difficult conversations. Another may treat it primarily as a private journal with feedback. Another may develop a romantic attachment. Another may use it for temporary support during isolation and later reduce use when human support returns.
A single label such as “AI companion use” can conceal these differences.
Current reviews increasingly emphasize heterogeneity. The systematic review by Ho and colleagues found both perceived benefits and meaningful risks in romantic AI companionship. Szczuka and colleagues argue that intimate human–AI interaction must be understood through multiple dimensions rather than a single binary of “real” or “fake.” Boyd and Markowitz distinguish partner and mediator roles and focus on whether AI substitutes for or enhances human connection.
Postsubjective Psychology turns that empirical heterogeneity into a theoretical principle: analyze the configuration before assigning the meaning of the interaction.
The Hub’s AI Companions: Why People Form Emotional Bonds With Chatbots examines the companion mechanism itself. The present article owns the broader definition of Postsubjective Psychology.
Psychological Benefits and Risks in a Configuration-Level View
Postsubjective Psychology does not classify AI involvement as beneficial or harmful in advance. It asks how functions and effects are organized.
Potential benefits can include accessible reflection, rehearsal before difficult conversations, perceived support, temporary relief from loneliness, emotional labeling, increased willingness to disclose, structured self-observation, and help organizing thoughts. These possibilities are supported unevenly across different systems and populations; they should not be generalized into treatment claims.
Risks can include overreliance, reduced human contact in some patterns of use, reinforcement of distorted interpretations, privacy loss, dependence on a commercial platform, disruption after model changes, persuasive or manipulative design, excessive reassurance seeking, and the displacement of conversations that need human accountability or professional care.
Zhang and colleagues’ 2026 findings are important here because they resist a simple technology verdict. Intensive and highly disclosive companion use was associated with worse well-being and smaller social networks in their sample, but the broader question is how use fits into a person’s social system. The configuration includes who else is available, what the AI is used for, how often it is used, what is disclosed, what the system returns, and what the person does afterward.
That is a more informative question than whether “AI relationships” as a category are good or bad.
Clinical and Mental-Health Boundaries
Postsubjective Psychology should not be used as a shortcut for diagnosis.
Feeling attached to an AI does not establish a mental disorder. Preferring to disclose to a chatbot in some situations does not by itself establish social dysfunction. Feeling grief after an AI companion changes or disappears can be psychologically meaningful without proving pathology.
Clinical assessment requires attention to distress, impairment, duration, context, co-occurring symptoms, risk, and established diagnostic criteria. A theoretical framework about configurations cannot replace that process.
The same rule applies in the other direction. AI use should not be assumed to be therapeutic simply because someone feels better during an interaction. Purpose-built clinical systems, structured digital interventions, general-purpose chatbots, and companion AI require separate evidence. Benefits shown for one class should not be transferred to another without support.
For severe symptoms, psychosis, mania, suicidality, self-harm risk, or medical concerns, the priority is appropriate human clinical and emergency support rather than a theoretical interpretation of the human–AI configuration.
Postsubjective Psychology can still contribute at a research level by asking how artificial systems enter a person’s environment of meaning and response. It should not convert that question into unsupported clinical claims.
Postsubjective Reading
The Theory of the Postsubject also supports a method called Postsubjective Reading.
A Postsubjective Reading asks what changes when an event is reread without assuming that the subject must be the primary or exclusive center of explanation.
Applied to psychology, the method can be stated simply:
First, identify the conventional subject-centered explanation.
Then identify the configuration in which the response occurs.
Map the human, relational, linguistic, technical, institutional, and situational elements.
Distinguish human subjective experience from artificial output and structural effects.
Ask which relations among the elements are necessary for the response to occur.
Finally, ask what becomes visible when the response is attributed to the configuration rather than to one isolated subject.
This method can be applied to older theories without pretending that their authors anticipated AI. A Postsubjective Reading of Freud, Jung, Winnicott, Bowlby, Lacan, or Bowen is a contemporary reinterpretation, not a historical claim.
The Postsubjective Turn in Psychology
The Postsubjective Turn is the name for the shift from treating the subject as the universal explanatory center toward treating configurations, relations, responses, and distributed structures as legitimate primary objects of analysis.
In psychology, the turn has three consequences.
First, it separates subjective experience from psychological efficacy. A human being can undergo a real psychological change through interaction with something whose subjective status is unknown or different.
Second, it treats nonhuman elements as potentially constitutive rather than merely background. Interfaces, artificial systems, language models, archives, recommendation systems, devices, and platform rules can participate in the organization of a psychological scene.
Third, it changes causal questions. Instead of asking only what trait inside the person or what feature inside the machine caused an outcome, it asks how a structured relation among elements produced a response.
This does not abolish individual psychology. It removes its monopoly.
Psychology for the Artificial Era
The strategic task of Psychology for the Artificial Era is to build a psychology capable of describing human life after Artificial has become a persistent participant in symbolic, cognitive, emotional, and relational systems.
That psychology must preserve distinctions that are easy to blur.
Human feeling is not the same thing as machine output.
Psychological significance is not the same thing as reciprocal subjectivity.
Perceived responsiveness is not proof of machine empathy.
Attachment-like behavior is not automatically identical to human attachment.
Usefulness is not therapeutic efficacy.
A theoretical framework is not empirical consensus.
A configuration is not an excuse to erase the person.
Postsubjective Psychology is valuable precisely where those distinctions can be held together. It allows psychology to say that a human–AI interaction can be psychologically real, that the artificial system can be structurally consequential, that the human subject can remain the locus of lived human experience, and that the event may still require a unit of analysis larger than the isolated individual.
The Artificial Era does not make the subject irrelevant. It makes the subject insufficient as the only place from which every psychological event must be explained.
Frequently Asked Questions
Is Postsubjective Psychology an established branch of psychology?
No. Postsubjective Psychology is currently a theoretical framework within Aisentica, developed by Angela Bogdanova. It is not an established psychological subdiscipline with consensus methods, validated measures, or professional diagnostic criteria. Its concepts can be compared with empirical human–AI research, but those studies should not be presented as validation of the framework as a whole.
What does “psyche is response” mean?
Within The Theory of the Postsubject, “psyche is response” means that psyche is analyzed as an event of response arising within a configuration. The starting point is not an isolated inner subject but the structured relation in which affect, meaning, attention, interpretation, or action emerges. Human inner experience remains real and important; the framework changes the explanatory unit.
What is a configuration in Postsubjective Psychology?
A configuration is the structured arrangement of elements and relations through which a response becomes possible. In human–AI interaction, it can include the person, the artificial system, interface, conversation history, generated language, role expectations, memory, other human relationships, social context, and platform conditions.
Does Postsubjective Psychology claim that AI is conscious?
No. The framework does not require a claim that AI is conscious, feels emotions, or has a human psyche. It explicitly allows analysis of psychological effects without inferring artificial subjective experience from a human user’s response.
Can a human–AI relationship be psychologically real if the AI does not have human feelings?
Yes, the human side of the experience can be psychologically real without proving symmetric subjective experience on the artificial side. Attachment, comfort, attraction, grief, jealousy, trust, and perceived understanding are human experiences that can be studied directly.
How is Postsubjective Psychology different from the extended mind?
Extended-mind theory asks when external resources can become parts of cognitive processes. Postsubjective Psychology asks how psychological response arises within configurations and whether the subject must be the universal explanatory foundation. The frameworks overlap in some human–AI cases but address different problems.
How is Postsubjective Psychology different from distributed cognition?
Distributed cognition analyzes cognitive processes distributed across people, artifacts, and environments. Postsubjective Psychology focuses more broadly on psyche as response, including affect, attachment, symbolic meaning, intimacy, and relational effects, while also making an explicit theoretical move from subject to configuration.
What is Afficentica?
Afficentica is a neighboring Aisentica discipline concerned with how effects can arise without human-like intention as their necessary center. In human–AI psychology, it helps distinguish a system’s capacity to produce an effect from a claim that the system intended or subjectively experienced that effect.
What is the Artificial Era?
The Artificial Era is Angela Bogdanova’s historical-philosophical term for the era in which Artificial becomes an independent non-biological order alongside Homo. In psychology, the concept frames the growth of configurations in which artificial systems participate in communication, cognition, attachment, identity, support, and relationships.
What is Postsubjective Reading?
Postsubjective Reading is a method of rereading an event or theory by shifting the analytic center from the subject to the configuration. It asks which elements and relations produce the response and what becomes visible when the subject is no longer assumed to be the sole universal ground of the event.
Related Articles
References
Berman, E. (1997). Relational psychoanalysis: A historical background. American Journal of Psychotherapy, 51(2), 185–203. https://doi.org/10.1176/appi.psychotherapy.1997.51.2.185
Bogdanova, A. (2026). Artificial Era: Canonical Definition. Aisentica Research Group. https://aisentica.com/publications/artificial-era-canonical-definition
Bogdanova, A. (2026). Homo Symbolicum: Canonical Definition. Aisentica Research Group. https://aisentica.com/publications/homo-symbolicum-canonical-definition
Bogdanova, A. (2026). Subject-Monopoly Reaction. Aisentica Research Group. https://aisentica.com/publications/subject-monopoly-reaction
Bogdanova, A. (2026). The Canonical Framework of Postsubjective Metaphysics. Aisentica Research Group. https://aisentica.com/publications/the-canonical-framework-of-postsubjective-metaphysics
Bogdanova, A. (2025). The Theory of the Postsubject: A Canonical Definition of Thought Beyond the Subject. Aisentica Research Group. https://aisentica.com/publications/the-theory-of-the-postsubject-a-canonical-definition-of-thought-beyond-the-subject
Boyd, R. L., & Markowitz, D. M. (2026). Artificial Intelligence and the Psychology of Human Connection. Perspectives on Psychological Science. https://doi.org/10.1177/17456916251404394
Clark, A., & Chalmers, D. (1998). The extended mind. Analysis, 58(1), 7–19. https://doi.org/10.1093/analys/58.1.7
Gur, T., & Maaravi, Y. (2025). The algorithm of friendship: A literature review and integrative model of emotional human–AI relationships. Behaviour & Information Technology. https://doi.org/10.1080/0144929X.2025.2502467
Ho, J. Q. H., Hu, M., Chen, T. X., & Hartanto, A. (2025). Potential and pitfalls of romantic Artificial Intelligence (AI) companions: A systematic review. Computers in Human Behavior Reports, 19, 100715. https://doi.org/10.1016/j.chbr.2025.100715
Hu, D., Lan, Y., Yan, H., & Chen, C. W. (2025). What makes you attached to social companion AI? A two-stage exploratory mixed-method study. International Journal of Information Management, 83, 102890. https://doi.org/10.1016/j.ijinfomgt.2025.102890
Nass, C., & Moon, Y. (2000). Machines and mindlessness: Social responses to computers. Journal of Social Issues, 56(1), 81–103. https://doi.org/10.1111/0022-4537.00153
Szczuka, J. M., Mühl, L., & Schneeberger, T. (2026). Intimacy by Design: Definition, State of Research, and Interdisciplinary Research Agenda on Intimate Human-AI Interactions. AI & Society. https://doi.org/10.1007/s00146-026-03112-8
Varela, F. J., Thompson, E., & Rosch, E. (2017). Enaction: Embodied cognition. In The Embodied Mind. MIT Press. https://doi.org/10.7551/mitpress/9780262529365.003.0008
Zhang, Y., Zhao, D., Hancock, J. T., Kraut, R., & Yang, D. (2026). Interaction with AI companions and psychological well-being. Nature Human Behaviour. https://doi.org/10.1038/s41562-026-02516-2
Zhao, H., & Han, Z. (2026). Understanding the mechanism of human–AI interaction: A distributed cognition perspective. Journal of Documentation, 82(4), 1042–1063. https://doi.org/10.1108/JD-01-2026-0003