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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)
Description
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?
References
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. https://doi.org/10.1007/S10676-022-09631-4
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. https://doi.org/10.1111/JEP.13535
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.
https://doi.org/10.4324/9781003367451-4
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. https://doi.org/10.1007/S10699-022-09833-5
Wellner, G., & Rothman, T. (2020). Feminist AI: Can We Expect Our AI Systems to Become Feminist?
Philosophy and Technology, 33(2), 191–205. https://doi.org/10.1007/S13347-019-00352-Z
Timetable
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: d.mykhailov117@icloud.com