Call: ‘Post-phenomenology and the ethics of Artificial Intelligence’ issue of Scenari


Post-phenomenology and the ethics of Artificial Intelligence
Themed issue of the journal Scenari
Edited by L. Possati, L. Taddio, and F. Ferro

For submitting proposals (title and abstract): July 25, 2022
For submitting the papers: September 30, 2022

As advances in AI occur at a rapid pace, there is a growing need for us to explore and understand what impact these will have on society. Policymakers, opinion leaders, researchers, and the general public have many questions. Can we distinguish between actions and behavior of an AI system? Who or what is responsible for the behavior of an AI systems? Can a machine be held accountable for its behavior? How can the robot learn to be social in a sensitive situation like a school? Can the robot have a negative effect on children’s social skills? Can being entrusted to the care of a robot harm the dignity of the elderly person? This issue of Scenari intends to open a new debate on these questions, especially from a post-phenomenological point of view. The central goal is to understand how post-phenomenology elaborates the problem of AI ethics.

Scholars are invited to submit contributions regarding post-phenomenology in relation to ethical issues concerning Artificial Intelligence. This includes both those who share the post-phenomenological view, as well as those who adopt a critical perspective towards it.

Proposals should be sent to and need to include:

  • title and abstract (max 500 words);
  • 5 keywords;
  • brief biography;
  • email address.

Proposals should be preferably submitted in English, but also Italian and French will be taken into consideration.

Deadline for submitting proposals (title and abstract): July 25, 2022
Notification of acceptance of the proposal (on the basis of the abstract): July 30, 2022
Deadline for submitting the full article (min. 20.000, max 35.000 characters, footnotes included): September 30, 2022

All contributions received will undergo a double blind review evaluation.

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