Posthumanist Epistemology:
Knowledge in the Age of Technology Automatic translate

Posthumanist epistemology is a new branch of philosophy, a fundamental revision of how we understand the nature of knowledge. While classical epistemology focused on the human mind as the main source and arbiter of knowledge, posthumanism offers a different approach, where humans cease to be the center of the world. Instead, we see a network of interactions in which technology, biology, artificial intelligence, and even material objects play equal roles.

Take machine learning algorithms, for example. They are no longer just tools in human hands — they create new knowledge by analyzing vast amounts of data and identifying patterns that often elude human perception. They do not work by submitting to our control: they are autonomous, sometimes unpredictable, and their “solutions” force us to reconsider our usual approaches to truth.

Artificial Intelligence and Trust Issues

Artificial intelligence is no longer just a science fiction idea. Today, it permeates every aspect of life, from medicine to government. But how can we trust the knowledge it creates? This question seems especially pressing in an era when algorithms are trained on data that contains human biases, errors, and limitations.

An example is facial recognition systems, which perform excellently but are often unfair to members of certain ethnic groups. This “bias” is not a technical problem, but rather an illustration of how technology absorbs and amplifies the biases of human society.

Materialization of knowledge: the role of things and objects

Another important aspect of posthumanist epistemology is the rethinking of the role of material objects in the creation and dissemination of knowledge. Whereas previously things were considered simply carriers of information (for example, books), now they are becoming active participants in the processes of cognition.

The Internet of Things is a prime example of this phenomenon. Imagine a smart refrigerator that not only tracks your food supply but also infers your eating habits, suggesting changes to your diet. This refrigerator is no longer just an object — it becomes part of a cognitive system where the boundaries between human knowledge and technological intelligence are blurred.

Ethics and responsibility in a new dimension

When technologies begin to actively participate in the creation of knowledge, questions about ethics inevitably arise. Who is responsible for the decisions made by algorithms? Where is the line drawn between human and non-human contributions?

One example is autonomous cars. If a self-driving car crashes, who is to blame: its designer, its manufacturer, or the car itself? These questions require new approaches to ethical norms that take into account the multi-layered interactions between people and machines.

Knowledge as a process, not a product

Posthumanism also proposes to abandon the idea of ​​knowledge as a fixed result. Knowledge becomes a process that constantly changes and adapts under the influence of new factors. It resembles a river that never remains the same - its flow, depth and direction depend on many variables.

Modern scientific research increasingly takes place not in isolated laboratories, but in open networks where scientists, technologies, and data constantly interact. This “networked knowledge” does not belong to anyone in particular and does not obey linear logic.

Conclusions for humans: how can we adapt?

For many people, the idea of ​​posthumanism seems scary. Losing our status as the “center of the universe” can feel threatening. But perhaps we should look at it differently. Posthumanist epistemology offers us not only new challenges, but also new opportunities. It teaches us to see the world more broadly, to recognize the value of other forms of knowledge, and to move beyond anthropocentric thinking.

This change is inevitable, like any other evolution. Instead of resisting, we can learn to integrate into this new reality, where technology does not replace us, but expands our boundaries.