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Call for papers in the Special Issue "Postphenomenology in the age of AI: Prospects, Challenges, Opportunities"


Call for Papers for the Journal of Human-Technology Relations special issue on

Postphenomenology in the age of AI: Prospects, Challenges, Opportunities

 Guest Editor

  • Dr. Dmytro Mykhailov, postdoctoral fellow, School of Humanities, Southeast University, Nanjing (China)


After the launch of ChatGPT3 and ChatGPT4, AI entered a new era characterized by higher self-sufficiency of artificial systems, an increasing level of automation, and an extreme transformation of almost every social domain we know. Large Language Models (LLMs) are revolutionizing the way we write text (Liberati, 2023). Innovative AI generative video technology is capable of creating photorealistic content not only for living celebrities but also for resurrecting famous people who have already passed away. Complex Machine Learning algorithms enable new scientific practices of data interpretation and so create a new situation of scientific explanation of nature and human beings (Kudina & de Boer, 2021). While postphenomenology has analyzed AI from various perspectives, such as technological intentionality in artificial neural networks (Mykhailov & Liberati, 2022), algorithmic biases and non-neutrality of AI models (Wellner & Rothman, 2020), the problem of the black-box (Friedrich et al., 2022) and recent postphenomenology of ChatGPT (Laaksoharju et al., 2023), the progress in the field of AI over the last several months has brought forth radically new challenges that must be addressed from a strong philosophical standpoint. With this in mind, the present special issue aims to grasp the dynamic landscape of contemporary AI technology by applying a postphenomenological methodology. The papers invited for this special issue should explore a wide range of topics, including but not limited to the epistemological, moral, and societal changes that novel AI applications will bring into play using a postphenomenological perspective. The scope of AI applications is also not limited to specific AI technology but may encompass cases from different domains such as medicine, education, scientific research, etc.

We invite the submission of papers focusing on but not restricted to the following questions:

  • How can postphenomenological concepts of mediation and technological intentionality enhance our understanding of emerging AI applications?
  • What novel aspects does AI technology introduce into the postphenomenological notion of multistability, and and what are those different technological ‘stabilities’ that today’s AI can have (especially in different cultural contexts)?
  • In what ways can postphenomenology offer guidance for the ethical design and development of AI systems?
  • How can the postphenomenological approach address and resolve issues related to AI bias, discrimination, transparency and fairness?
  • To what extent does AI contribute to the broader discourse on technoscience, and what significant technoscientific implications does AI hold for contemporary science?
  • How can postphenomenology reflect upon challenges that new AI applications create for contemporary art and aesthetics in general?


Friedrich, A. B., Mason, J., & Malone, J. R. (2022). Rethinking explainability: toward a postphenomenology of black-box artificial intelligence in medicine. Ethics and Information Technology 2022 24:1, 24(1), 1–9.

Kudina, O., & de Boer, B. (2021). Co-designing diagnosis: Towards a responsible integration of Machine Learning decision-support systems in medical diagnostics. Journal of Evaluation in Clinical Practice, 27(3), 529–536.

Laaksoharju, M., Lennerfors, T. T., Persson, A., & Oestreicher, L. (2023). What is the problem to which AI chatbots are the solution? AI ethics through Don Ihde’s embodiment, hermeneutic, alterity, and background relationships. In Thomas Taro Lennerfors & Kiyoshi Murata (Eds.), Ethics and Sustainability in Digital Cultures (pp. 31–48). Taylor and Francis.

Liberati, Nicola (2023) “ChatGPT: 来自技术哲学的解读”. 《上海文化》 (文化研究版) 2023年6月号目录 pp. 31- 38

Mykhailov, D., & Liberati, N. (2022). A Study of Technological Intentionality in C++ and Generative Adversarial Model: Phenomenological and Postphenomenological Perspectives. Foundations of Science 2022, 1–17.

Wellner, G., & Rothman, T. (2020). Feminist AI: Can We Expect Our AI Systems to Become Feminist? Philosophy and Technology, 33(2), 191–205.



Deadline for paper submissions: February 1, 2024

Deadline for paper reviews: April 1, 2024

Deadline for submission of revised papers: June 1, 2024

Deadline for reviewing revised papers: July 1, 2024

Accepted papers will be published in 2024

Submission guidelines: During the submission, please indicate on the first page of the cover letter that your paper is for the special issue “Postphenomenology in the age of AI: Prospects, Challenges, Opportunities”.

For any further information, please, contact: