Introduction
Artificial intelligence often appears as an autonomous entity, but in reality, it is a new class of cognitive artifacts. This article analyzes the theses of Dennis Yi Tenen to debunk the myth of machine independence.
The reader will discover that AI is the result of accumulated human labor and a process of intellectual externalization. The text explains how the anthropomorphization of technology affects our sense of responsibility and culture.
AI as a Result of Collective Labor and Distributed Cognition
AI is not an autonomous entity, but rather a product of collective labor. Its proficiency stems from the efforts of engineers, content creators, and the invisible data workers who clean and classify data.
In this view, intelligence is distributed between the user, the cloud, and institutions. Examples include ancient tools such as the abacus or the library, which already shifted thought processes outside the brain.
Modern models merely increase the scale of this phenomenon. AI does not create a new quality of being; rather, it compresses the collective achievements of humanity into an interactive system.
AI as Intellectual Externalization and the Trap of Anthropomorphism
Artificial intelligence fits into the history of symbolic tools that have for centuries served to move cognitive functions outside the body. This is a process of intellectual externalization.
The personification of algorithms through verbs such as "learns" or "decides" is harmful. It creates an illusion of agency, leading to the diffusion of moral and legal responsibility.
When we say that "the algorithm rejected the application," we hide a chain of human design decisions. Instead of blaming the machine, we must reconstruct the levels of human oversight and institutional accountability.
The Absence of Biological Suffering Does Not Exhaust the Definition of Subjectivity
Machines do not feel pain, fear, or love. This lack of embodiment means that AI cannot be considered a full moral agent in the human sense.
However, the absence of emotion does not preclude the functional impact of AI on the world. These systems can possess causal agency without being legal or moral persons.
Contemporary science and law therefore separate competence from subjectivity. We can utilize a model's high efficiency in problem-solving without attributing consciousness or responsibility for errors to it.
Summary
Artificial intelligence is another stage of externalizing human intellect beyond the biological body. It is not the end of our history, but a mirror reflecting collective resources and stereotypes.
The key challenge remains: how do we expand cognitive capabilities without simultaneously externalizing the responsibility for the judgments rendered?
The value of AI lies in forcing us to redefine what it actually means when a human speaks and thinks.
Frequently Asked Questions
Is artificial intelligence an autonomous entity, or rather a product of human labor and cognitive systems?
Artificial intelligence is not an autonomous entity, but the result of the collective work of engineers, researchers, and users, as well as the accumulated effort of many people. Although it possesses specific computational mechanisms, it is embedded in a historical system of data production, norms, and infrastructure.
How does AI fit into the history of human cognitive tools, and why is the personification of algorithms harmful in the context of responsibility?
AI is a continuation of the human tendency to use external cognitive tools (such as writing or the abacus) that extend the capabilities of biological memory. The personification of algorithms is harmful because it replaces the real responsibility of those designing and implementing systems with the apparent responsibility of a non-existent entity.
Does the lack of emotions and a biological body in AI mean that it cannot be recognized as a moral or responsible agent?
For some philosophers, the lack of a biological body and emotions is a key barrier to recognizing AI as a moral agent, as ethics may stem from the susceptibility to suffering. However, there are other concepts, such as Kantian or functionalist ones, which base normativity on the autonomy of reason or technical agency rather than biology. Currently, there are no grounds for assigning full moral responsibility to AI models, although this issue has not been definitively resolved.
Will artificial intelligence lead to the complete replacement of humans in professions requiring high mental qualifications?
Complete replacement of humans is unlikely because AI does not eliminate entire professions but only automates specific fragments of them. Instead of a simple elimination of professions, there will be a transformation and reconfiguration of work organization, in which humans will, among other things, supervise and correct models.
Are artificial intelligence and the laws regulating it neutral tools, or do they carry specific political assumptions?
Artificial intelligence and the law regulating it are not neutral; rather, they encode specific political assumptions and power structures. The political nature of AI stems from its design, data, and ownership model, while regulations (e.g., the AI Act) constitute an element of designing the institutional order by defining norms, controls, and responsibility.
Does artificial intelligence lead to the averaging and loss of diversity in human creativity?
Artificial intelligence may lead to the averaging of creativity by systematically shifting expressions toward similar stylistic and conceptual centers. Research indicates that while AI can improve the quality of individual works, it simultaneously reduces collective diversity and linguistic variation.
How are contemporary AI models changing our understanding of the relationship between language, reality, and the role of the author?
AI models show that language is not an isolated system but contains traces of physical and social reality, although their alignment with truth weakens in the realm of direct sensory experience. Consequently, the traditional concept of the author is replaced by an analysis of degrees of authorship, focusing on the division of functions between human judgment and automated content generation.
How should AI intelligence be understood, and who bears responsibility for its operation within a social system?
AI intelligence should be understood as a set of competencies in learning, prediction, and problem-solving, without possessing the characteristics of an autonomous person. Responsibility for its operation should not be dispersed; therefore, it is necessary to ensure traceability, which allows for the determination of the source of information and the identification of the responsible operator.
What are the systemic and political consequences of treating AI as a universal cognitive infrastructure?
Treating AI as infrastructure carries the risk of market concentration, limitation of professional autonomy, and a reduction in the diversity of ways of understanding the world through the homogenization of language and creativity. This requires an analysis of the systemic effects on pluralism, the distribution of knowledge, and the ability of citizens to control institutions.
What exactly is intelligence in the context of AI, and why is the question of whether machines are intelligent poorly posed?
Intelligence is a system's ability to process differences, build representations, learn, predict, adapt its actions, and communicate reasoning. The question of whether machines are intelligent is poorly posed because it is too simplistic; instead, one should examine in what sense, through which mechanisms, and with what consequences a system behaves intelligently.
What, in the final analysis, is artificial intelligence for humans, and what are the most important questions we should be asking ourselves now?
Artificial intelligence is another stage of the externalization of human intellect and an instrument that forces us to redefine the essence of thinking, creating, and knowledge. The most important questions concern how to expand cognition and externalize competencies without losing responsibility and the capacity for independent judgment.
