From Kant to Foucault, from Foucault to Synthetic Epistemology
Introduction: Not What Is Knowledge, but How Is Knowing Possible?
The most basic question of epistemology is often formulated as “What is knowledge?” This question is important; yet in modern philosophy a deeper question gradually becomes decisive: how is knowing possible? This second question turns not only to the content of knowledge, but to the conditions that make knowledge emerge. For something to count as knowledge, which structures, distinctions, forms of subjectivity, linguistic orders, historical environments, or technical systems must be in place?
This question has been answered in different ways throughout the history of philosophy. For Kant, the conditions of knowledge are sought in the structure of the knowing subject. The subject does not passively receive the world as it is; it constructs experience within time, space, and the categories of understanding. In this sense, knowledge is not the bare reflection of the world in the mind, but experience made possible through the constitutive conditions of the subject.
Foucault carries this question onto another plane. For him, knowledge does not arise only from the mental structure of the subject. In every historical period, there are discursive orders, classifications, institutions, archives, and forms of episteme that determine what can count as knowledge. Knowledge is formed not only from within the subject, but also within historical conditions.
Synthetic Epistemology takes up the same question again in the age of artificial intelligence. Today, the conditions of knowledge can no longer be explained only through subject, experience, language, institution, or historical discourse. Datasets, modeling processes, algorithmic classifications, correlation networks, and systems of synthetic output have also begun to determine how knowledge is produced, how it enters circulation, and how it comes to appear reliable.
For this reason, the issue is no longer only “Who knows?” or “What do we know?” The real question increasingly becomes: within which conditions is knowledge established today?
Kant: The Conditions of Knowledge Are Sought in the Subject
Kant’s place in modern philosophy comes from his search for the conditions of knowledge in the structure of the subject. Before Kant, the question of knowledge was often explained either through the innate principles of reason or through the data of sensory experience. Rationalism emphasized the necessary principles of reason, while empiricism emphasized the data of experience. Kant does not simply leave these two lines opposed to one another; he reconstructs them on another level.
According to Kant, knowledge is not merely the sum of impressions coming from the external world. Nor is it merely a set of abstract concepts produced by reason from within itself. Knowledge becomes possible through the forms of sensibility and the categories of the understanding. The human being experiences the world in time and space; this experience is then ordered through categories such as causality, unity, plurality, substance, and relation.
Kant’s major move is this: knowledge is possible not because the object is given to the subject exactly as it is, but because the subject constructs experience within determinate forms. The human mind is not only receptive; it is also ordering. The world does not come to us entirely naked and unmediated. Experience is shaped within the subject’s a priori conditions.
For this reason, in Kant the conditions of knowledge are not historical, but transcendental. The transcendental does not refer to the content of particular experiences, but to the structures that make experience possible. In other words, before asking “how do we obtain this or that knowledge?” Kant asks: “What structure must the subject have for any experience and knowledge to be possible at all?”
This is one of the strongest forms of modern subject-centered epistemology. Knowledge is no longer bound only to the object; without the constitutive activity of the subject, knowledge is not possible. The Kantian revolution places at the center of knowledge not a passive mind receiving the world as it is, but the constitutive subject that makes experience possible.
Yet this constitutive subject is largely thought independently of historical conditions. Kant’s subject is not treated as the product of a particular age, institution, or discourse, but as the transcendental subject carrying the universal conditions of experience. Foucault’s intervention becomes important precisely at this point.
Foucault: The Conditions of Knowledge Become Historical
Foucault seeks the conditions of knowledge not in the universal structure of the subject, but in historical orders. Especially in his early works, he focuses on the deep historical structures that determine the emergence of knowledge. In the line of thought developed around The Order of Things and The Archaeology of Knowledge, knowledge is not merely the product of individual reason; it is formed within historical conditions that determine what can be thought, said, classified, and accepted as true in a given age.
At this point, Foucault’s concept of episteme is decisive. Episteme is not the sum of ideas openly defended by a period. More deeply, it is the historical order that determines within which relations knowledge can be established in that period. How objects are classified, how relations of similarity and difference are established, how language is connected to knowledge, how the human being emerges as an object of knowledge, and through which schemas nature can be read are all determined at this level.
For Foucault, the history of knowledge is not merely the sequential progress of theories. There are discursive conditions that make knowledge production possible in a given age. These conditions determine what can become an object, who can speak, which concepts can be considered legitimate, and which distinctions can be used in the production of knowledge.
Here a significant difference from Kant emerges. For Kant, the conditions of knowledge are sought in the transcendental structure of the subject. For Foucault, the conditions of knowledge are sought in historically changing orders of discourse and episteme. Foucault does not simply erase the subject; but he removes the subject from the position of the absolute constitutive center of knowledge. The subject itself is shaped within historical discourses.
For this reason, Foucault’s question differs from the Kantian question. Kant asks, “How is experience possible?” Foucault turns toward the question: “How does it become possible, in a particular period, to produce knowledge about particular objects?” This is the historical transformation of epistemology.
Archive, Discourse, and the Order of Knowledge
The concepts of “discourse” and “archive” also have central importance in Foucault’s understanding of knowledge. Discourse is not merely speech or written text. Discourse is a productive structure that defines objects, organizes concepts, draws boundaries, and determines what can be said. An object often enters the field of knowledge within discourse. Categories such as madness, crime, sexuality, illness, population, body, or the normal human being are not simply found naturally; they are defined within particular discursive orders and become objects of knowledge.
The archive, meanwhile, is not merely a collection of documents. In Foucault, the archive is the structure that determines which statements can emerge in a period, which discourses will be preserved, which forms of knowledge will remain in circulation, and which regularities will establish the field of knowledge. The archive is the historical memory of knowledge, but also determines what is considered worthy of record.
For this reason, knowledge for Foucault is always established within a particular order. This order determines not only the content of ideas, but also the objects, methods, institutions, and forms of legitimacy of knowledge. Thus epistemology cannot remain limited to the problem of truth; it must also examine the historical conditions of the production of knowledge.
The following point is important here: Foucault does not say that “knowledge is entirely fabricated.” His concern is not to show that knowledge is invalid. The real issue is to show that knowledge is always possible within particular historical conditions. Knowledge does not descend from a timeless and neutral sky; it is established within institutions, discourses, classifications, and archives.
From Kant to Foucault: The Displacement of the Condition
The relation between Kant and Foucault contains both continuity and rupture. Their common point is that they show knowledge is not merely a matter of content. Both ask about the conditions of knowledge. But they do not seek these conditions in the same place.
In Kant, the condition lies in the structure of the subject. Time, space, and the categories that make experience possible constitute the transcendental ground of knowledge. In Foucault, the condition lies in historical episteme and discursive orders. What makes knowledge production possible in a given period is not only the mental structure of the subject, but historically established classifications, discourses, institutions, and archives.
Thus in Kant, the condition of knowledge is sought in the structure of the universal subject; in Foucault, it is sought within historical order. This is one of the most important displacements in modern epistemology. Knowledge is now related not only to how the subject constructs the world, but also to how history constructs both subject and object.
Synthetic Epistemology adds a third threshold to this line. In the age of artificial intelligence, the conditions of knowledge begin to form not only in the structure of the subject or in historical discursive orders, but also in data and model systems. In this new situation, the conditions of knowledge move into a technical, operational, and synthetic field.
The New Ground of Knowledge in the Age of Artificial Intelligence
In the age of artificial intelligence, knowledge does not emerge only through the human being’s experience of the world and the ordering of this experience through concepts. It also emerges through the transformation of the world into data, the classification of this data, its processing in large model systems, and its reproduction as synthetic outputs.
This transformation creates a significant change in the structure of knowledge. The human being is no longer only the knowing subject; the human being is also a being that produces data, is transformed into data, is modeled, and is represented again by algorithmic systems. The world, likewise, is no longer only a reality that is experienced; it is a data field that is measured, labeled, classified, predicted, and reconstructed within the model.
Artificial intelligence systems do not experience the world as human beings do. Their mode of knowing does not operate through consciousness, intention, testimony, or conceptual self-reflection. Yet these systems recognize patterns within large datasets, process correlations, make classifications, and produce outputs that appear before the user with the appearance of knowledge. These outputs enter circulation sometimes as summaries, sometimes as answers, sometimes as analyses, sometimes as images, sometimes as predictions, sometimes as decision support, and sometimes as interpretation.
Here the epistemological problem becomes clear. If knowledge is now produced not only in the experience of the human subject or in historical discursive orders, but also in data-model relations, then the conditions of knowledge must be rethought. Which data is used? How is the data selected? According to what is the model trained? Which correlation is counted as meaningful? Which output appears reliable? Which reality remains outside the model?
These questions form the basic ground of Synthetic Epistemology.
Data, Model, and Synthetic Output
From the perspective of Synthetic Epistemology, the age of artificial intelligence has three fundamental epistemic elements: data, model, and synthetic output.
Data is not raw reality taken from the world. Data is the world selected, measured, labeled, classified, and inserted into specific formats. For something to become data, it must first be separated, recorded, and made processable. For this reason, data does not carry the world as it is; it represents the world by passing it through particular technical and institutional operations.
The model is the structure that processes patterns, relations, and probabilities within this data. The model does not know the world directly; it processes the internal relations of the datafied world. This operation often relies on correlations more than causality. The model does not so much know “why things are this way” as calculate “which patterns tend to produce which outputs.”
Synthetic output is the result produced by the model. This output may be a text, image, sound, classification, prediction, recommendation, or summary. Synthetic output appears before the human being with the appearance of knowledge. Yet this appearance of knowledge is produced not through experience, testimony, or consciousness in the classical sense, but through the relation between data and model.
For this reason, Synthetic Epistemology argues that in our age knowledge is not only represented, but also synthetically produced. Here “synthetic” does not mean “fake.” Synthetic refers to a form of knowledge that is not the direct product of natural experience, but is established within data, model, and production processes.
The Basic Definition of Synthetic Epistemology
Synthetic Epistemology is the theoretical framework that examines the reconstruction of knowledge within data, model, algorithm, and synthetic production processes in the age of artificial intelligence.
Four concepts are decisive in this definition.
The first is data. In the age of artificial intelligence, knowledge is increasingly produced through the datafied world.
The second is the model. Data does not produce knowledge on its own; it is processed, related, and transformed into meaningful outputs within specific modeling processes.
The third is the algorithm. The modes in which knowledge is processed, ranked, made visible, and circulated are determined by algorithmic processes.
The fourth is synthetic production. Artificial intelligence systems do not merely transmit existing knowledge; they produce new texts, images, summaries, interpretations, classifications, and outputs that possess the appearance of knowledge.
For this reason, Synthetic Epistemology is not merely an attempt to explain artificial intelligence technology. More fundamentally, it describes how the conditions of knowledge change in the age of artificial intelligence. Knowledge is no longer established only between a knowing subject and a known object. Knowledge takes shape within a new order formed among datasets, model architectures, algorithmic operations, interfaces, user interactions, and synthetic outputs.
From Foucault to Synthetic Epistemology
Foucault’s concept of episteme had shown that every age has its own conditions of knowing. Synthetic Epistemology does not simply repeat this question; it reconstructs it in the age of artificial intelligence. For Foucault, the conditions of knowledge take shape within historical discourse, institution, archive, and classification orders. For Synthetic Epistemology, datasets, modeling systems, algorithmic operational processes, and forms of synthetic production are added to these conditions.
This addition is not a simple technical detail. In the age of artificial intelligence, the ground of knowledge production is changing. In many fields, access to knowledge, interpretation, decision-making, summarization, classification, and representation are carried out through model systems. This situation changes both the mode of production of knowledge and its conditions of trust.
Foucault’s question was: under which historical conditions does knowing become possible in a given period? The question of Synthetic Epistemology is this: under which data, model, algorithmic, and synthetic production conditions does knowing become possible in the age of artificial intelligence?
These two questions are not the same; yet they belong to the same problem-field. Both accept that knowledge is not merely a matter of content, but of condition. Synthetic Epistemology, however, emphasizes that the condition is now not only historical-discursive, but also technical and synthetic.
Conclusion: Where Is Knowledge Established Today?
The line extending from Kant to Foucault, and from Foucault to Synthetic Epistemology, shows that the conditions of knowledge have gradually shifted. In Kant, knowledge is established within the structures that make the subject’s experience possible. In Foucault, knowledge becomes possible within historical orders of episteme, discourse, archive, and institution. In Synthetic Epistemology, knowledge is reshaped within the data, model, algorithm, and synthetic production processes of the age of artificial intelligence.
This line is not a simple story of progress. Kant has not been invalidated, Foucault has not been surpassed, and Synthetic Epistemology has not become the final explanation. The more accurate statement is this: each intellectual threshold has made it possible to seek the conditions of knowledge in another place. Kant makes the subject visible; Foucault makes historical order visible; Synthetic Epistemology makes data-model systems visible.
For this reason, the basic question of epistemology must be reconstructed today. The issue is not only what correct knowledge is. The issue is within which systems knowledge is produced, through which data it is fed, through which models it is processed, through which algorithms it is made visible, and through which synthetic outputs it enters circulation.
The importance of Synthetic Epistemology lies here. It allows us to think the age of artificial intelligence not merely as a technological innovation, but as a historical transformation in the conditions of knowledge. In this transformation, the human subject does not disappear; but it is no longer the sole center of knowledge. Historical discursive orders do not disappear either; but data and model systems are added to them.
Knowledge today is established in a field broader than the classical relation between subject and world. This field begins with data, is processed by the model, is regulated by the algorithm, and becomes visible through synthetic outputs. Synthetic Epistemology is the attempt to name and think this new field of knowledge.
