Artificial Intelligence and Subjectivity: Are We Still Masters of Thought?

Does AI help us think or guide us unknowingly? A journey into the relationship between artificial intelligence, identity, and mental autonomy.

A Thought of Our Own… or Suggested?

Have you ever formulated a thought only to discover that an algorithm had already anticipated it? A suggested post, a perfect advertisement, a notification that seems to read your mind. We live in an era where artificial intelligence is increasingly present in the processes that influence our perception of the world, and therefore our identity as well. But if the thoughts we have are partly the result of content selected by a machine, can we still speak of authentic subjectivity?

Subjectivity is what makes us unique: our experiences, ideas, sensations, interpretations. But AI, with its ability to predict, adapt, and suggest, enters this process with growing force. Are we still masters of our own thoughts? Or are we becoming unwitting co-authors, guided by predictive logics?

What Subjectivity Is and Why It's at Stake

Subjectivity is the inner experience each individual has of the world. It is what distinguishes us from one another: our perspective, our way of feeling and interpreting what happens. It's not just a philosophical matter, but a central aspect of our cognitive autonomy.

When we read a book, when we remember an event, when we express an opinion, we exercise our subjectivity. But today, much of the content we come into contact with is filtered, sorted, and optimized by algorithms. This means our worldview doesn't arise solely from what we choose, but from what is shown to us.

As we described in the article "Our Brain in the Era of Algorithmic Information", AI doesn't just propose content: it actively shapes the contexts in which we think. And this changes the rules of the game.

How AI Intervenes in the Construction of Thought

Artificial intelligence works with data: our clicks, reading times, words used in messages, navigation paths. Based on this information, it builds a predictive representation of who we are. And it proposes content that reinforces that representation.

This dynamic occurs every day on social media, search engines, news and entertainment platforms. But also in assisted writing apps, conversational chatbots, automatic suggestion systems. AI doesn't force us to think in a certain way, but it guides us in a direction, often without us realizing it.

We also saw this in "Mind and Digital Multitasking: The Illusion of Efficiency with AI", where it emerges how the fragmentation of attention created by notifications and suggestions reduces the space for deep and personal thought.

Real-world examples and concrete implications

Imagine you want to search for information on a sensitive topic. The results you get online are not neutral: they are ordered according to algorithmic criteria. If your digital profile associates you with certain ideas, you will see content that confirms them. This filter bubble effect can narrow the field of reflection and reinforce polarization.

In education, an AI assistant can simplify learning. But if it leaves no room for error, for autonomous discovery, for personal reflection, it risks outsourcing critical thinking to a system that generalizes.

Even in journalism, AI tools generate articles based on trends, optimized for engagement. The problem is not automatic generation, but the absence of a true subjectivity. An article written by a machine can be coherent, but it is only an imitation of the human voice.

As Shannon Vallor, a philosopher of technology interviewed by Vox, emphasizes, the real risk of artificial intelligence is not that it develops an autonomous consciousness, but that we stop exercising our own, blindly relying on its decisions. AI can imitate the nuances of human language and replicate emotions learned from data, but it cannot live an authentic experience.

Even The Guardian, in an experiment with a chatbot inspired by philosopher Peter Singer (source), showed the profound limits of artificial interaction: intelligence is there, but consciousness is missing, the real existential understanding.

Finally, an analysis by the Financial Times (source) warns of the risk of humanizing these technologies too much, attributing to them feelings or intentions they do not possess. Subjectivity remains a distinctive trait of the human being, and AI, however advanced, cannot replace it.

FAQ – Frequently Asked Questions

Does AI think for us?
No. But it can influence the way we think, guiding the information we receive and the decisions we make.

Is it possible to maintain subjectivity in the age of AI?
Yes, but it requires awareness. We must distinguish between what is presented to us and what we actively choose.

Can AI be used positively to stimulate thought?
Yes. If designed with ethical intent, it can offer insights, alternatives, questions. But it must leave room for the unexpected, for ambiguity, for the personal voice.

Thinking is still a human act

Being the master of one's own thought today also means understanding how thought itself is influenced. It's not about rejecting technology, but about learning to coexist with it without losing ourselves.

Artificial intelligence is a powerful support. But it cannot replace lived experience, doubt, debate. Subjectivity is not a flaw to be corrected, but a value to be preserved. Because that is where creativity, critical thinking, and authenticity are born.

As highlighted by Scientific American in the article “Is Art Created by AI Really Art?” by David Pogue, human creativity stems from lived experience, intuition, error, and emotional memory. Artificial intelligence can generate surprising works, but it does so based on statistical models, not personal experience.

Finally, the deepest risk is not that AI becomes too creative, but that we lose the human sense of creating. As highlighted in “AI Is an Existential Threat—Just Not the Way You Think”, the real threat is the gradual erosion of our ability to think and imagine autonomously.