In light of the rapid advancement of artificial intelligence (AI), new philosophical and ethical challenges have emerged concerning human subjectivity, autonomy, and moral responsibility. This study responds to the urgent need to critically reflect on the evolving boundaries between humans and machines in a digital society increasingly shaped by AI as an autonomous agent. The research aims to clarify the philosophical foundations of identity transformation resulting from human interaction with intelligent systems. Utilizing qualitative analysis of contemporary scientific literature, the study employs interpretive, comparative, and systematic approaches. Findings reveal that AI alters not only technical environments but also the moral structure of communication, leading to a blurring of boundaries between subject and object. The research highlights a growing trend of delegated agency and algorithmic influence, prompting a reevaluation of free will and responsibility. Traditional ethical paradigms prove insufficient to address the complexities of these new forms of interaction, thus necessitating alternative frameworks such as the ethics of emergent agency, relational ethics, and algorithmic participation. The practical significance of this work lies in its contribution to philosophical guidelines for the humanization of technological progress and the development of regulatory frameworks in education, law, and medicine. The study offers a conceptual basis for further interdisciplinary research in digital ethics, the philosophy of technology, and the broader social sciences and humanities.
Building similarity graph...
Analyzing shared references across papers
Loading...
Varypaiev et al. (Sat,) studied this question.
www.synapsesocial.com/papers/68c1b36054b1d3bfb60ea744 — DOI: https://doi.org/10.63931/ijchr.v7isi1.194
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Olexii Varypaiev
Svitlana Hhumeniuk
Кирил Котун
Building similarity graph...
Analyzing shared references across papers
Loading...