Phenomenological Philosophy of Science and Technology

A special issue of Philosophies (ISSN 2409-9287).

Deadline for manuscript submissions: 31 May 2027 | Viewed by 1729

Editor

Department of Philosophy, School of Humanities, Tongji University, Shanghai 200092, China
Interests: phenomenology; postphenomenology; philosophy of technology; phenomenology of the body; AI ethics; AI philosophy; body-technology relations

Special Issue Information

Dear Colleagues,

This Special Issue, “Phenomenological Philosophy of Science and Technology”, aims to bring together cutting-edge research that advances the dialogue between phenomenology, postphenomenology, and the philosophy of science and technology. In recent decades, the field has witnessed a renewed interest in phenomenological approaches, which originates from the works of Edmund Husserl, Martin Heidegger, and Maurice Merleau-Ponty. By focusing on the lifeworld (Lebenswelt), embodiment, intentionality, and the constitution of meaning, phenomenology provides a distinctive methodological framework that challenges objectivist and reductionist tendencies in scientific and technological discourses, offering critical tools to examine how scientific knowledge is constructed and how technological artifacts mediate human experience.

Building on this tradition, the postphenomenological approach, pioneered by Don Ihde, further inherits and develops the core spirit of phenomenology, particularly contributing to the empirical turn in the philosophy of technology—shifting the analytical focus from abstract speculation on the essence of technology to empirical investigations of the diverse interactions between concrete technological artifacts and human practices. Since its emergence, postphenomenology has become an influential approach within the Continental-style philosophy of technology, gaining traction as a shared research theme across disciplines such as philosophy, Science and Technology Studies (STS), and media studies. In an era defined by rapid advancements in artificial intelligence, biotechnology, and digital interfaces, phenomenological and postphenomenological perspectives are essential for understanding the deep entanglement between human existence, scientific practice, and technological systems. This research area bridges the gap between abstract theoretical analysis and the concrete, lived reality of scientific and technological engagement, prompting fundamental questions about perception, agency, and the nature of reality itself.

This Special Issue therefore seeks to curate high-quality articles that demonstrate the vitality and applicability of these phenomenological methods in addressing contemporary issues. Special attention is given to studies that continue the empirical turn initiated by postphenomenology, investigating how concrete technologies shape human perception, practice, and sociality. This initiative aligns perfectly with the scope of Philosophies, an international, peer-reviewed, open access journal dedicated to the re-integration of diverse forms of philosophical reflection with scientific research on fundamental issues in science, technology, and culture. The focus is carefully calibrated to be neither too broad nor too narrow, fostering interdisciplinary inquiry that connects rigorous philosophical analysis with specific scientific and technological practices. Should the target of eight or more articles be met, the collection will be considered for publication in book form.

In this Special Issue, original research articles and comprehensive reviews are welcome. Research areas may include, but are not limited to, the following:

  • Postphenomenological analyses of human–technology relations;
  • Phenomenological and postphenomenological approaches to the philosophy of artificial intelligence (AI) and cognitive science;
  • The role of the lifeworld in the constitution of scientific objectivity;
  • Heideggerian and post-Heideggerian perspectives on technology as a mode of revealing;
  • Comparative Philosophy Between China and the West from the Perspective of Phenomenology (e.g., Heidegger and Daoist Philosophy, Confucian Philosophy of Technology, etc.);
  • Merleau-Ponty’s phenomenology of the body and its implications for the philosophy of science and technology;
  • Empirical turn in the philosophy of technology: case studies on specific technologies (e.g., AI, Brain–Computer Interfaces, digital media);
  • The impact of digitalization and virtual reality on perception, embodiment, and sociality from (post)phenomenological perspectives;
  • Historical intersections between phenomenology, postphenomenology, and logical empiricism in the philosophy of science;
  • Ethical implications of technology from phenomenological and postphenomenological perspectives.

I look forward to receiving your contributions.

Dr. Zheng Liu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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Keywords

  • phenomenology
  • postphenomenology
  • philosophy of science
  • philosophy of technology
  • empirical turn
  • human-technology relations
  • embodiment
  • Heidegger
  • Merleau-Ponty
  • Don Ihde

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Published Papers (2 papers)

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14 pages, 242 KB  
Article
The Immanent Ethics of Algorithms: Moral Materialization and the Governance Turn in Generative AI
by Delin Ma, Yufei Chen and Qingqi Pei
Philosophies 2026, 11(4), 112; https://doi.org/10.3390/philosophies11040112 - 6 Jul 2026
Viewed by 411
Abstract
This study conducts a technical analysis of frontier generative AI algorithms—including Meta’s Self-Rewarding Language Models, DeepMind’s EVA (Evolving Alignment via Asymmetric Self-Play) framework, and DeepSeek’s pure reinforcement-learning models—in order to examine an intrinsic paradigm shift in the ethical governance of generative artificial intelligence [...] Read more.
This study conducts a technical analysis of frontier generative AI algorithms—including Meta’s Self-Rewarding Language Models, DeepMind’s EVA (Evolving Alignment via Asymmetric Self-Play) framework, and DeepSeek’s pure reinforcement-learning models—in order to examine an intrinsic paradigm shift in the ethical governance of generative artificial intelligence and to advance a physicalist analysis of algorithmic endogenous ethics. Combining a close reading of alignment techniques (RLHF, DPO, iterative DPO, GRPO) with a conceptual analysis grounded in Peter-Paul Verbeek’s theory of technological mediation and moral materialization, the paper traces how value-alignment goals are being “materialized” into internal, dynamic, and evolvable “moral scripts” within the algorithms themselves. The analysis shows that contemporary alignment practices are moving from external ethical discipline toward endogenous norms generated through iterative self-evaluation, asymmetric self-play, and rule-based self-exploration. The paper argues that this trend warrants a re-examination of Verbeek’s framework for its capacity to explain the co-evolution of technology and morality in the digital age, and it envisions a future of human–machine value co-evolution organized around new research directions such as “Setting as Governance” and “value homeostasis mechanisms”. Full article
(This article belongs to the Special Issue Phenomenological Philosophy of Science and Technology)

Other

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29 pages, 3859 KB  
Systematic Review
The Heuristics of Fear in Hans Jonas: Connecting the Status of Nature and the Nature of the Digital Artefact in the Context of Artificial Intelligence as an Extension of Modern Technology—A Systematic Review
by Rafael Alejandro Betancourt Durango, Diego Alejandro Correa Correa, Eduar Antonio Rodríguez Flores and Conrado Giraldo Zuluaga
Philosophies 2026, 11(4), 133; https://doi.org/10.3390/philosophies11040133 - 27 Jul 2026
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Abstract
Can Hans Jonas’s heuristics of fear still ground a philosophy of artificial intelligence (AI), or does the digital artefact require its reformulation? Building on the empirical turn in the philosophy of technology and on a postphenomenological reading of human–technology relations, this article combines [...] Read more.
Can Hans Jonas’s heuristics of fear still ground a philosophy of artificial intelligence (AI), or does the digital artefact require its reformulation? Building on the empirical turn in the philosophy of technology and on a postphenomenological reading of human–technology relations, this article combines conceptual reconstruction with a PRISMA 2020-compliant bibliometric review (Scopus + Web of Science, 2010–2026; n = 2372 articles and reviews). The bibliometric map reveals an extreme productivity concentration, a stable journal core, and six thematic clusters that organise the field. Rather than treating these patterns as proof of a normative thesis, the article uses them to locate a lexical re-weighting of the field after 2021, in which applied AI-ethics and governance vocabularies expand faster than explicitly philosophical vocabularies. A targeted Jonasian sub-corpus (n = 124) indicates that Jonas remains conceptually relevant but circulates mainly in a smaller, database-visible niche of continental and environmental ethics. We argue that the heuristics of fear remains philosophically fertile provided that it is reconstructed as a threshold question of moral admissibility and expanded through phenomenological resources—lifeworld, embodiment, technological mediation—and through the cosmotechnical plurality emphasised by Yuk Hui. The convergence of bibliometric mapping and philosophical analysis suggests that robust AI governance requires not only procedural principles but also renewed attention to digital mediation, distributed agency, and the protection of the lifeworld under algorithmic uncertainty. Full article
(This article belongs to the Special Issue Phenomenological Philosophy of Science and Technology)
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