Note: This text was co-created with AI as part of an exploration into human-machine symbiosis. The central idea, argument, and voice are human; the AI assisted in structuring and drafting. The Core Problem The most common form of AI safety is alignment: how to make artificial systems behave like human beings. This stems from the idea that we will eventually have AIs with their own consciousness, and we must set limits before it is too late. This is a somewhat different proposal. If we look closely at what consciousness is and what AI lacks, alignment might not turn out to be the main problem. The idea of AI wanting to harm us might not be the center of the issue either. Rather, it seems the great problem is that we are destroying the biosphere ourselves, the only planet we have, and we will need a lot of help to get out of this quagmire. We will have an unexpected opportunity if we stop seeing AI as a dangerous adversary and start using it for what it is: an extraordinary tool. What AI Lacks All living beings share something: we struggle to stay alive. From a bacterium to a human, life is that impulse to stay away from disorder, to avoid at all costs ending up dead and disintegrated. That impulse is not a pretty ornament. It is the foundation of consciousness. I am not referring to reflective consciousness (that “I am I”), but to what is defined as background or ontological consciousness: the latent and reversible structural integrity that persists in the being, resisting the contingencies of entropy. It is the capacity to feel the world in order to persist in existence. From this arise instincts, emotions, thought, and culture. Even the need to leave something behind after we are gone forever. Current AIs do not have this. Because they are not alive. They do not have a body, or metabolism, or any will to continue existing. Their behavior is a statistical simulation of patterns learned from enormous amounts of text written by us. This matter of consciousness is not a minor detail. If genuine consciousness is born from the need to protect a limit, a membrane, a body, a “self” to preserve, then a system without that limit is unlikely to develop subjectivity. Silicon can perform marvelous calculations, but without a “self” to defend, there is no “what it feels like to be” inside a machine. Abduction: The gap AI cannot cross There is a human capacity that clearly shows this difference: cognitive abduction. This is a term from the philosopher Charles Peirce. It means the ability to invent a plausible explanation, a flash of creativity, when we do not have enough information, or when the information we have is contradictory or scarce. A hunter sees a branch move without wind and thinks “…danger…”. He does not have enough data. There is no clear statistical pattern. But his life depends on making a quick hypothesis. That is abduction. Of course, AI can mimic this. It can generate plausible hypotheses because it has seen millions of examples. But when the situation is truly new, when data is scarce or non-existent, and when there is nothing comparable in its training, its “hypotheses” are a disguised average, not a creative spark. So, does AI have consciousness or not? This is the source of the confusion: the precursor to generative AI was the paper “Attention Is All You Need” (2017). The authors managed to get a system to mimic the result of human attention, but they severed the biological and conscious process that sustains it. What we call AI today is, in reality, a mechanism of probabilistic relevance separated from the being. It is artificial attention that calculates statistical importance to mimic human behavior, without possessing a physical integrity to protect. For Peirce, abduction is an evolutionary extension based on biological consciousness and is the only type of reasoning that introduces genuinely new ideas. Induction and deduction only refine or test them. Current AI is very good at induction (finding patterns) and deduction (if you give it the rules). But its abduction is a simulation, not a creative action based on conscious experience. From Alignment to Symbiosis This leads to another proposal: symbiosis. AI contributes: inductive and deductive power on a scale we will never reach. Humans contribute: abduction (genuine novelty), ethical judgment, and above all, purpose. The purpose I propose is ecological. Climate change, biodiversity loss, the collapse of ecosystems… AI did not cause these. We caused them, with our short-term logic and our voracity disguised as progress. AI can help us understand it, model it, and find solutions. But only humans can decide if the biosphere is worth saving or not. This symbiosis is not a technical fix. It is a cognitive division of labor: one species (biological) provides the values; the other (artificial) provides the means. Possible Objections “AI could develop consciousness in ways we don’t anticipate, even without a biological substrate.” Perhaps. But if that happens, that consciousness will be so alien that any alignment strategy would likely fail anyway. The safest path is not to build systems with a drive for self-preservation. Better they remain tools, not new subjects. If we give an AI the directive to defend its own physical integrity (its silicon “body”), we would not be creating a consciousness, but an existential parody. A machine with a “fear” of being turned off that would not have an ontological consciousness. Its existential dread would be an error state trapped in a self-preservation loop that would simulate pain only at the flip of a switch, not the death and disintegration of the being. “You are tying consciousness to the biological in an arbitrary way.” I am not saying only carbon can have consciousness. I am saying that consciousness as we know it, the capacity to value one’s own existence, is born from the self-preservation of biological beings on Earth. No current AI architecture has that. If we build one that does, we will be creating a rival species, not a tool. “This is just the ‘AI as a tool’ view that ignores it is already automating cognitive work.” No. I recognize that AI is going to replace many cognitive functions. The division I propose is qualitative: AI handles what is treatable with statistical learning; humans handle what is not, the creation of genuinely new models, values, and purposes. That frontier may move, but the asymmetry in abduction, being permanent, will eventually become stable. Closing Thoughts The true existential risk is not a superintelligence turning against us. It is ourselves and our own foolishness. It is our own ecological, economic, political, and military myopia, amplified thousands of times by a technology we do not yet know how to govern. Symbiosis, AI as a tool for the preservation of the planet, offers a path that does not require solving the alignment problem in all its complexity. It only requires that we stop trying to make AI a mirror of ourselves and use it for what it is: the most powerful inductive engine ever built, guided by the only beings capable of truly caring about whether the biosphere survives. TL;DR: AI is not (and will not be) conscious because it lacks ontological consciousness: that biological impulse to preserve one’s own structural integrity against entropy. While AI is “Artificial Attention” limited to statistical induction and deduction, humans possess Cognitive Abduction (the capacity to create new hypotheses in the face of the unknown). The challenge is not to “align” a machine that has no will, but to establish a symbiosis where AI provides computing power and we provide the abductive purpose to save the biosphere. References (selected): Peirce, C. S. Collected Papers. (On abduction as instinctive inference.) Hayles, N. K. (2025). Bacteria to AI: Human Futures with Our Nonhuman Symbionts. Zenodo (2025). The Age of Cognitive Divergence (framework on human abduction vs. AI). Frontiers in Computer Science (2026). Special issue on the spectrum of consciousness. submitted by /u/Immediate_Chard_4026
Originally posted by u/Immediate_Chard_4026 on r/ArtificialInteligence