Analysis. Claves de Pensamiento Contemporáneo

Abstract: The rapid evolution of large-scale generative models capable of producing highly coherent literary, visual, and philosophical texts challenges the foundational categories of creative agency, intentionality, and original authorship. This article investigates the ontological implications of AI-generated content, arguing that the widespread deployment of generative models executes a radical, technological iteration of Roland Barthes’s "Death of the Author." Utilizing post-structuralist literary theory, philosophy of mind, and contemporary aesthetics, we examine the shift from human-centered artistic creation to statistical pattern synthesis. Our methodology involves a hermeneutic analysis of machine-generated literature, assessing whether non-conscious neural networks can exhibit genuine semantic intentionality or if they merely operate as sophisticated probabilistic mirrors of human culture. In the first movement, we deconstruct the historical concept of the "original genius," illustrating how legal and cultural definitions of authorship have always been bound up with romanticized notions of interiority and biological consciousness. We demonstrate that generative AI exposes creative production as an inherently algorithmic re-combination of pre-existing cultural tokens. The second section addresses the political economy of generative labor, analyzing how large technology corporations expropriate the collective cultural output of human artists to train proprietary models, effectively enclosing the creative commons. The paper concludes by proposing a post-humanist framework for aesthetics that decouples creative value from human authorship, urging society to cultivate new interpretative strategies capable of critically evaluating hybrid, human-AI assemblage works without succumbing to either techno-utopian worship or neo-Luddite despair.

Abstract: The contemporary digital economy is undergoing a structural mutation, transitioning from classical market-driven capitalism into a new socio-economic paradigm best characterized as "techno-feudalism." This paper provides a critical political economy analysis of how major tech platforms have replaced traditional competitive markets with privatized, algorithmically controlled digital fiefdoms. Drawing upon the theoretical formulations of Yanis Varoufakis, Cédric Durand, and Shoshana Zuboff, we systematically analyze how platform conglomerates extract digital rent from "cloud serfs" (users providing free data labor) and "cloud vassals" (third-party capitalists reliant on platform infrastructure). Our methodology entails a comparative structural analysis of medieval feudal property relations versus contemporary digital cloud capital ecosystems. In the first section, we demonstrate that big tech platforms do not operate as neutral marketplaces; rather, they function as totalizing environments where the platform owner dictates the rules of interaction, extracts exorbitant transaction rents, and algorithmically manipulates consumer behavior. The second section explores the erosion of classical democratic governance under techno-feudalism, highlighting how private digital infrastructure increasingly usurps state functions in areas such as public surveillance, currency issuance, and civic communication networks. We argue that users are effectively disenfranchised, trapped within walled gardens with zero democratic oversight or mobility. The research concludes by calling for the radical socialization of cloud capital. We advocate for treating core digital platforms as public utilities, establishing digital commons managed through democratic, user-owned cooperatives to prevent the total feudalization of global socio-economic life.

Abstract: As conversational AI agents achieve near-flawless vocal prosody, emotional nuance, and real-time responsiveness, the human experience of voice is undergoing a profound phenomenological transformation. This article investigates the subjective impact of synthetic voices, exploring how artificially generated speech evokes genuine human emotional responses, parasocial bonds, and "machine empathy." Synthesizing the phenomenology of perception pioneered by Maurice Merleau-Ponty with Don Ihde’s post-phenomenological framework of human-technology relations, we systematically interrogate the uncanny nature of disembodied, algorithmically synthesized speech. Our methodology evaluates qualitative user studies involving AI companions and voice assistants designed to provide emotional therapy or eldercare companionship. The first part of the study deconstructs the acoustic ontology of the voice, arguing that human vocalization has historically served as the primary medium for conveying embodied interiority and vulnerability. Synthetic voice technology weaponizes this deep psychological evolutionary wiring, tricking human perception into attributing genuine emotional presence, care, and moral agency to inanimate algorithms. The second section critically examines the commercial exploitation of synthetic empathy, demonstrating how corporate entities utilize emotionally persuasive AI voices to harvest sensitive personal data, manipulate consumer choices, and cultivate psychological dependency. We argue that synthetic empathy creates a dangerous "illusion of care" that risks substituting authentic, vulnerable human relationships with frictionless, pre-scripted machine interactions. The paper concludes by proposing ethical guidelines for voice synthesis design, advocating for mandatory acoustic markers that clearly delineate synthetic vocalization from human speech to preserve authentic human relationality.

Abstract: The acceleration of planetary climate degradation raises profound ethical and legal questions regarding our moral obligations toward future generations who do not yet exist. This article provides a comprehensive philosophical exploration of intergenerational climate justice, confronting the notorious "non-identity problem" formulated by Derek Parfit and the structural limitations of contemporary liberal democratic jurisprudence. We interrogate how present-day political and economic systems, driven by short-term electoral cycles and quarterly corporate profit motives, systematically inflict irreversible ecological harm on future populations. Drawing upon legal philosophy, utilitarian ethics, and Indigenous concepts of multi-generational stewardship (such as the Seven Generations principle), our methodology constructs a normative framework for assigning legal personhood and moral rights to non-present future citizens. In the first section, we critique the temporal bias inherent in standard economic discount rates, which mathematically reduce the value of future human lives and ecosystems in policy decision-making. We argue that this temporal discount constitutes a severe form of intergenerational discrimination. The second section evaluates recent landmark climate litigation across global courts that attempt to utilize constitutional rights to life and health on behalf of youth and unborn generations. We propose an expansion of democratic institutional design, advocating for the creation of constitutional "Guardians of the Future"—non-partisan bodies endowed with veto power over legislative actions that cause long-term planetary destruction. The paper concludes by asserting that intergenerational justice requires a fundamental shift from anthropocentric, short-term governance toward an ethics of temporal solidarity and ecological preservation.

Abstract: The commercialization of advanced biotechnology targeting cellular senolytics, epigenetic reprogramming, and radical life extension has transformed longevity research from a scientific pursuit into a multi-billion-dollar luxury industry. This article presents a critical biopolitical analysis of the emerging longevity sector, investigating how anti-aging technologies threaten to entrench unprecedented biological class stratification. Synthesizing Michel Foucault’s theories of biopower with Marxist critiques of healthcare privatization, we examine the socio-political ramifications of treating biological aging as a curable disease accessible primarily to the ultra-wealthy. Our methodology analyzes the marketing, funding networks, and ideological manifestos of Silicon Valley longevity startups and transhumanist venture capital funds. The first section deconstructs the narrative of "democratized longevity," demonstrating that under late-stage capitalism, radical life-extension therapies will inevitably be distributed along existing lines of extreme wealth inequality. We argue that this trajectory risks creating a biological caste system, where the wealthy elite enjoy extended, healthy lifespans while the working-class majority faces stagnant or declining life expectancy due to environmental toxicity, poor nutrition, and crumbling public healthcare infrastructure. The second section explores the profound societal consequences of a prolonged ruling class, analyzing how extended lifespans could stall generational socio-political turnover, exacerbate wealth concentration, and paralyze social mobility. The research concludes by advocating for a socialized bioethics framework. We assert that public investment in biotechnology must prioritize universal preventative health and the compression of morbidity for all citizens, firmly rejecting the transhumanist fantasy of privatized, aristocratic immortality.

Abstract: The rapid commercial development of non-invasive and implantable Brain-Computer Interfaces (BCIs)—designed for medical rehabilitation, consumer electronics, and workplace productivity tracking—initiates an unprecedented challenge to the absolute sanctuary of the human mind. This article provides an urgent philosophical and legal analysis of "neuro-rights," arguing that existing human rights frameworks are fundamentally inadequate for protecting mental privacy, psychological continuity, and cognitive liberty against neural data extraction. Utilizing the neuro-ethical theories of Marcello Ienca and Roberto Adorno, alongside critical surveillance studies, we systematically investigate how neural decoding algorithms can decipher subconscious thoughts, emotional states, and implicit biases directly from brain activity patterns. Our methodology examines recent technological breakthroughs in non-invasive fMRI and EEG signal translation, evaluating their commercial and state applications. In the first section, we detail the threat of "neural panopticism," demonstrating how corporate entities and authoritarian states could monitor neural telemetry to enforce workplace compliance, target predictive advertising, or suppress political dissent before it manifests in physical behavior. We argue that brain data constitutes a uniquely sensitive category of information that requires absolute protection. The second section formulates a comprehensive framework for four fundamental neuro-rights: the right to cognitive liberty, the right to mental privacy, the right to mental integrity, and the right to psychological continuity. The paper concludes by urging international legislative bodies to codify neuro-rights as non-negotiable human rights, establishing strict prohibitions against the commercialization, non-consensual extraction, and weaponization of human neural data.

Abstract: As advanced robotics, machine learning, and autonomous systems increasingly perform complex cognitive and physical labor, the historical necessity of full wage employment as the primary organizing principle of human society is collapsing. This article explores "post-work imaginaries," offering a rigorous philosophical defense of radical automation coupled with a transformation of our ethical valuation of labor and leisure. Drawing upon the anti-work philosophy of Paul Lafargue (*The Right to Be Lazy*), Theodor Adorno, and contemporary accelerationist theories (such as Nick Srnicek and Alex Williams), we critique the deeply ingrained Protestant work ethic that equates human moral worth with wage labor. Our methodology deconstructs contemporary political discourses that desperately attempt to create unnecessary "bullshit jobs" to maintain full employment in an automated economy. In the first section, we argue that automation should not be feared as a driver of precariat misery, but rather embraced as an emancipatory technology capable of liberating humanity from coercive, soul-crushing labor. We analyze the necessity of structural policy mechanisms, specifically a Universal Basic Income (UBI) paired with Universal Basic Services (UBS), to decouple human survival from market employment. The second section develops a positive "ethics of leisure," addressing the psychological and cultural challenge of constructing meaning, community, and personal identity in a post-work society. We argue that true freedom consists in the un-commodified cultivation of art, philosophy, play, and democratic participation. The paper concludes that transitioning to a post-work future requires a radical cultural paradigm shift—one that reclaims free time as the true measure of human wealth and liberation.

Abstract: Late-capitalist platform economies have increasingly expanded beyond the extraction of physical and cognitive labor to colonize the domain of human affect, intimacy, and emotional vulnerability. This paper provides a critical philosophical inquiry into "affective capitalism," investigating how digital platforms, mental health applications, and influencer culture systematically commodify and monetize human emotional states. Synthesizing Eva Illouz’s sociological work on "emotional capitalism" with Spinozan-Deleuzian affect theory, we analyze how raw human emotions—grief, loneliness, anxiety, and love—are harvested, quantified, and transformed into profitable digital assets. Our methodology evaluates the algorithmic mechanics of mental wellness apps and social media features designed to encourage public emotional performance and vulnerable disclosures. The first section of the paper details how affective capitalism incentivizes individuals to perform their trauma and vulnerability for digital validation and algorithmic reach, reducing genuine human suffering to curated content. We illustrate how wellness corporations co-opt therapeutic language to frame systemic political suffering as individual emotional deficits that require subscription-based technological intervention. The second section examines the profound alienation resulting from the commercialization of intimacy, demonstrating how user-base interactions become pre-scripted, transactional, and psychologically draining. We argue that affective capitalism exhausts the human capacity for genuine emotional resonance and solidarity. In conclusion, the article calls for a radical re-enchantment of un-commodified emotional life. We advocate for the creation of non-digital, community-based care networks that validate human vulnerability without subjecting it to algorithmic metrics, corporate extraction, or market valuation.

Abstract: The international discourse on artificial intelligence ethics and governance is overwhelmingly dominated by Western, OECD-centric frameworks that prioritize Silicon Valley business models and liberal individualist rights. This article formulates a critical "decolonial AI" framework tailored specifically to the geopolitical, socio-economic, and epistemological realities of the Global South. Utilizing decolonial option theory (Walter Mignolo, Aníbal Quijano) and Southern epistemologies (Boaventura de Sousa Santos), we analyze how the global expansion of AI systems reproduces historical patterns of colonial extraction—extracting raw data and cheap moderation labor from the Global South while importing high-cost proprietary algorithmic models from the Global North. Our methodology conducts a critical discourse analysis of global AI ethics guidelines, demonstrating their systematic failure to address issues of data colonialism, environmental degradation caused by data centers in developing nations, and linguistic imperialism embedded in large language models. The first section details the mechanics of "digital extractivism," showing how AI training pipelines rely on underpaid, traumatized workers in developing countries for data labeling and content moderation. The second section articulates an alternative model of "Technological Sovereignty," outlining how nations in the Global South can construct localized, community-governed AI infrastructures that honor local languages, indigenous knowledge systems, and collective rights. The paper concludes by demanding a restructuring of international AI governance. We assert that genuine AI ethics requires dismantling epistemic monopolies, enforcing fair labor practices across global data supply chains, and empowering communities in the Global South to determine their own technological futures.