A mini-philosophy of technology (2): Technology as an inferential prosthesis

What makes human beings unique among animals? This ancient question has received countless answers—some modern ones we saw them in our last post—but I want to suggest that one of the most compelling and least appreciated responses comes from understanding humans as the creatures who create and inhabit what might be called inferential prostheses. These are extensions of our cognitive (and physical) capabilities that multiply our ability to draw consequences from information, to figure out what to do, and to act effectively in the world. This perspective not only illuminates the nature of human cognition but also provides a powerful framework for understanding technology itself, in line with Ortega’s insights about how technology changes the world.

Levels of complexity

To grasp this idea, we must first understand that life itself is characterized by the need to “draw consequences.” This is not a metaphorical claim but a biological fact. Living beings, unlike inanimate objects, face the fundamental challenge of performing actions that are appropriate to their circumstances. A plant turns toward light because light means energy. A bacterium moves away from toxin because toxin means death. In these simplest cases, the drawing of consequences is built into the organism’s structure through natural selection. The plant does not “decide” to seek light; it simply does so, and this ability has been honed over millions of years because it worked for successful reproduction.

This basic imperative unfolds on increasingly complex levels. With the development of nervous systems in the animal kingdom, we encounter a second level of complexity: the creation of internal representations. An animal can build a mental model of its environment, remember past experiences, learn from consequences, and adapt its behavior accordingly. A squirrel that remembers where it buried nuts is drawing consequences from past experience. A chimpanzee that uses a stick to fish for termites is drawing consequences about the relationship between tools and outcomes. These are forms of intelligence that go far beyond mere reflex.

The human leap to a third level of complexity is perhaps the most significant in the history of life on Earth. We developed the capacity to create external representations of our internal representations—symbols, signs, and language that allow us to make our thoughts public, to share them with others, to examine them collectively, and to preserve them across time. An animal cannot tell another animal what she is thinking or what happened yesterday. A human can do both, and this difference has transformed everything.

Language as the fundamental inferential prosthesis

Language, from this perspective, is best understood as the fundamental inferential prosthesis. It is a system superimposed upon our biological cognitive capabilities that has astronomically multiplied our ability to draw consequences from information. Consider what language enables. First, it allows for logical reasoning. Because language has structure—grammar, syntax, rules of inference—we can move from premises to conclusions in ways that are publicly examinable and correctable. We can say “if A then B, and A is true, therefore B” and know that this inference holds for anyone who understands the terms.

Second, language enables the accumulation and transmission of knowledge across generations. The information acquired by one individual through years of experience can be passed to another who has never had that experience. A child born today can learn about the dangers of poisonous plants without ever being poisoned, about the movements of stars without ever staying up all night to watch them, about the structure of atoms without ever seeing one. This cumulative cultural evolution is possible only because language allows information to exist outside individual minds.

Third, language enables collective deliberation. We can reason together, debate competing claims, pool our cognitive resources, and arrive at conclusions that no individual could reach alone. A scientific community, a jury, a legislature—these are all institutions made possible by language, institutions that multiply our inferential capacities beyond anything a solitary mind could achieve.

This understanding of language as a prosthesis directly challenges romantic views of language, including Heidegger’s influential conception. For Heidegger, language is the “house of Being”—the sacred space where reality reveals itself authentically, particularly in poetry and mystical discourse. The language of science, technology, and everyday communication is, for him, a degenerate form that conceals rather than reveals. From the perspective of inferential prostheses, however, this distinction collapses. Poetic language is not more authentic than scientific language; it is simply a different technological tool, suited for different purposes. A poem reveals certain aspects of experience that a chemistry textbook cannot, but a chemistry textbook reveals aspects of reality that a poem cannot. Neither has “ontological primacy”; both are sophisticated, artificial creations built upon the fundamental prosthesis of language.

Technology as an inferential prosthesis

But language is not our only inferential prosthesis. The concept can be extended to all technology. A prosthesis, in the medical sense, is an artificial device that replaces or enhances a missing or damaged body part. An inferential prosthesis, by extension, is any tool or technique that enhances our ability to draw consequences and act effectively. The simplest example is a stick used by a chimpanzee to fish for ants. The stick extends the reach of the chimp’s actions—it can reach ants that would otherwise be inaccessible. But it also provides information: the chimp learns about the relationship between stick length and success, about the behavior of ants, about the properties of different kinds of sticks.

All technology can be understood through this lens. A hammer multiplies the force of your arm and allows you to drive nails that your fist could not. But it also shapes your understanding of materials—you learn what can be hammered and what cannot, what requires a heavier hammer and what requires a lighter one. A computer multiplies your ability to perform calculations, store information, and communicate with others. But it also transforms how you think about problems, what you consider possible, and how you approach intellectual challenges.

This dual aspect of technology—amplifying both our capacity to act and our capacity to know—suggests a useful distinction. We might call “material techniques” those technologies where the primary function is to amplify our ability to do things: hammers, plows, factories, transportation systems. We might call “informational techniques” those whose primary function is to amplify our ability to know things: writing, mathematics, computers, scientific instruments. This is a distinction of emphasis, not a rigid dichotomy. Every material technology provides cognitive shortcuts for its use—a well-designed hammer suggests how to be held, a well-designed interface guides its user. Every informational technology ultimately has material effects—a mathematical equation can lead to a bridge, a scientific discovery can lead to a new medicine.

No going back

The crucial insight of the inferential prosthesis perspective is that there is no going back to a pre-technological state of nature. Language itself, our most fundamental prosthesis, has made us what we are. The choice is not between technology and authenticity, as Heidegger seemed to suggest, but between different ways of designing, using, and relating to our technological extensions. The task is to become conscious of the ways our prostheses shape us, to ask what consequences they enable and what consequences they foreclose, and to wield them with the wisdom that such profound responsibility demands. We are, and always have been, prosthetic creatures. The question is not whether to use prostheses but how to use them well.

References

Zamora Bonilla, Jesús, 2017, Sacando consecuencias, Tecnos.