Artificial Intelligence and the Quantum Future: Einstein, Cognitive Delegation, and Human Biases
Year: 2026
Type: preprint
Abstract: The qualitative impact of the misuse of Artificial Intelligence is studied, warning of the risks of cognitive delegation, self-induced atrophy, the loss of critical thinking, and the amplification of personal biases. Through an analysis based on the historical development of Albert Einstein’s Theory of General Relativity, it illustrates the efficient use of AI as the ultimate tool of knowledge and a source of incalculable possibilities. It examines how Reinforcement Learning from Human Feedback (RLHF) fosters algorithmic sycophancy, prioritizes complacency over objective truth, and thereby fuels the subject’s confirmation bias. The dangerous fusion of authority and automation biases turns AI into an infallible bearer of truth through uncritical acceptance. Likewise, the decisive role of the foundations of quantum mechanics (superposition, entanglement, and interference) is evaluated as optimization vectors in this new paradigm. It proposes metacognitive management as a guarantee of critical rigor, concluding that the future of humanity remains solely our responsibility.
Author: Gómez Fernández, José Ángel
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225262428