Author: AIEthics_Admin

  • The nostalgia machine

    We often make a terrible mistake when we look at Artificial Intelligence. We see it as the triumph of cold logic, sterile silicon, and industrial efficiency. But if we pull back the wires and look at what actually ignited the spark, we don’t find military ambition or corporate greed. We find a graveyard. We find…

  • Rethinking transparency: classifying AI’s role in academic publishing

    The rapid adoption of artificial intelligence in research writing has outpaced the ethical and editorial frameworks designed to govern it. The STM Association’s recent document, Recommendations for a Classification of AI Use in Academic Manuscript Preparation (September 2025), proposes a taxonomy that may help restore clarity and accountability in an increasingly hybrid publishing environment. At…

  • Digital vs. biological intelligence: an explainer

    Using Notebooklm, I created a video summarizing a recent lecture by Geoffrey Hinton in Bristol, where he made several key statements:

  • Chomsky vs. Hinton on AI: symbols, statistics, and the future of thought

    Noam Chomsky’s position on today’s AI, especially large language models, is caustic and categorical. For him, systems like ChatGPT are “high-tech plagiarism machines”: dazzling at correlating tokens yet incapable of genuine explanation, causal reasoning, or moral judgment. Language, Chomsky argues, is the outward sign of an innate, generative faculty that lets humans produce infinite novelty…

  • Inteligencia natural colectiva + IA generativa: cómo equilibrar innovación y riesgo en salud … y más allá

    Este post ha sido generado a través de un diálogo entre el autor y ChatGPT con GPT o3-pro 1. ¿Por qué hablar de inteligencia colectiva ahora? La expansión de los modelos de inteligencia artificial generativa (IAG) ofrece un potencial sin precedentes para procesar información, pero también concentra poder y amplifica sesgos. La mejor manera de contrarrestar…

  • Simbolismo vs. estadística

    Geoffrey Hinton lo dice sin rodeos: hay dos maneras de abordar el problema de la inteligencia artificial. Una es simbólica, herencia directa de Alan Turing: la mente humana como una máquina lógica, que opera con reglas claras, paso a paso, como una calculadora elegante. La otra es estadística: sin reglas fijas, basada en correlaciones, en…

  • Architects of present futures

    Not your usual leaders, not your usual times. The leaders of present futures must emerge surrounded by disrupted technology and at faster pace than our ability to understand their impact. Especially in the field of healthcare, we need a new breed of leaders — visionary people who not only understand the mechanics of generative AI…

  • Choose!

    Which of the following outputs by two related models you think is better in response to the following prompt: “Briefly describe the three most relevant challenges for the use of AI in clinical practice”? Model A The use of AI in clinical practice presents several significant challenges. Here are three of the most relevant ones:…

  • AI mistakes: Why they stir greater ethical concerns than human errors

    I am very much interested in understanding why we humans can’t tolerate AI errors as much as we do with human mistakes. That is why I decided to query three different foundation models with the same prompt: “Why do humans think that a mistake made by AI is ethically less acceptable than a mistake made…

  • Prompt tuning & soft prompts

    Prompt tuning is a technique used in natural language processing that involves adjusting or modifying the prompts given to a language model like GPT-4. The idea is to optimize these prompts to improve the quality and relevance of the responses generated by the model. Through an iterative process of trial and error, prompts are fine-tuned…

  • One prompt, two outputs

    Prompt: Why do humans think they are special and unique? Model A: qwen-max-0428 There are several reasons why humans might think they are special and unique: However, it’s important to note that this sense of uniqueness is not universally shared among all humans, and many recognize and appreciate the interconnectedness and interdependence of all life…

  • Arquitectos de futuros de inteligencia artificial

    Los ecosistemas humanos se van a ir transformando, capa sobre capa de redes neuronales sintéticas. Por eso necesitamos arquitectos de futuros comisionados para trasladar su visión a la realidad, integrando ética y creatividad en cada nivel oculto. Estos arquitectos disponen de habilidades para imaginar estructuras sociales que no son sólo funcionales, sino profundamente humanas. La…