Neuroethics, Human Enhancement, Biomedical Innovations

Últimos artículos

• The Case for Globally Beneficial Technology

  Iason Gabriel, Atoosa Kasirzadeh · 7 de julio de 2026

  To whom do the fruits of advanced technological innovation belong? To their inventors, to the organizations and individuals involved in making such discoveries possible, or to still larger groups of people, potentially encompassing all of humanity? This question sits at the heart of the present inve…

• The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem

  Till Mossakowski, Helena Esther Grass · 17 de abril de 2026

  Artificial General Intelligence (AGI) is increasingly being discussed not only as a tool, but also as a potential subject with personal and therefore moral status. In our opinion, the currently dominant alignment strategies, which focus on human control and containment of AI, therefore fall short. B…

• Large Language Models as a Semantic Interface and Ethical Mediator in Neuro-Digital Ecosystems: Conceptual Foundations and a Regulatory Imperative

  Alexander V. Shenderuk-Zhidkov, Alexander E. Hramov · 19 de marzo de 2026

  This article introduces and substantiates the concept of Neuro-Linguistic Integration (NLI), a novel paradigm for human-technology interaction where Large Language Models (LLMs) act as a key semantic interface between raw neural data and their social application. We analyse the dual nature of LLMs i…

• Insidious Imaginaries: A Critical Overview of AI Speculations

  Dejan Grba · 20 de febrero de 2026

  Speculative thinking about the capabilities and implications of artificial intelligence (AI) influences computer science research, drives AI industry practices, feeds academic studies of existential hazards, and stirs a global political debate. It primarily concerns predictions about the possibiliti…

• Technosocial risks of ideal emotion recognition technologies: A defense of the (social) value of emotional expressions

  Alexandra Pregent · 10 de febrero de 2026

  The prospect of AI systems that I call ideal emotion recognition technologies (ERTs) is often defended on the assumption that social life would benefit from increased affective transparency. This paper challenges that assumption by examining the technosocial risks posed by ideal ERTs, understood as …

• Initial results of the Digital Consciousness Model

  Derek Shiller, Laura Duffy, Arvo Mu\~noz Mor\'an, Adri\`a Moret, Chris Percy, Hayley Clatterbuck · 27 de enero de 2026

  Artificially intelligent systems have become remarkably sophisticated. They hold conversations, write essays, and seem to understand context in ways that surprise even their creators. This raises a crucial question: Are we creating systems that are conscious? The Digital Consciousness Model (DCM) is…

• Estimating the Scale of Digital Minds

  Derek Shiller · 21 de enero de 2026

  This report estimates the potential number of digital minds, defined as AI systems exhibiting observable traits such as agency, personality, and intelligence, in the coming decades. It employs two complementary approaches: first, examining specific use cases for digital minds and projecting adoption…

• Cognitive Sovereignty and the Neurosecurity Governance Gap: Evidence from Singapore

  Hailee Carter · 13 de enero de 2026

  As brain computer interfaces (BCIs) transition from experimental medical systems to consumer and military adjacent technologies, they introduce a novel security domain in which the human nervous system becomes a networked and contestable substrate. Existing frameworks for cybersecurity, biomedical s…

• Deconstructing the Dual Black Box:A Plug-and-Play Cognitive Framework for Human-AI Collaborative Enhancement and Its Implications for AI Governance

  Yiming Lu · 10 de diciembre de 2025

  Currently, there exists a fundamental divide between the "cognitive black box" (implicit intuition) of human experts and the "computational black box" (untrustworthy decision-making) of artificial intelligence (AI). This paper proposes a new paradigm of "human-AI collaborative cognitive enhancement,…

• When Should Neural Data Inform Welfare? A Critical Framework for Policy Uses of Neuroeconomics

  Yiven (Louis), Zhu · 26 de noviembre de 2025

  Neuroeconomics promises to ground welfare analysis in neural and computational evidence about how people value outcomes, learn from experience and exercise self-control. At the same time, policy and commercial actors increasingly invoke neural data to justify paternalistic regulation, "brain-based" …