Akademik Veri Yönetim Sistemi
18. Ejons Uluslararası"Teoriden Pratiğe Yapay Zekâ Trendleri" 10-11 Şubat 2025 / Delhi, Hindistan, Mata Sundri College for Women, University of Delhi, New Delhi, Hindistan, 10 - 12 Şubat 2025, cilt.1, sa.1, ss.1, (Özet Bildiri)
Abstract
The
aim of this paper is to shed light on the future of human-machine interaction
in the context of how artificial intelligence will affect working life. In this
respect, the main objective of this research is to understand changes that will
be brought about by the use of AI in the business world, the effects of such
changes on employees, and the implication of AI-related anxiety on
organizational structures. Obviously, the rapid proliferation of AI
technologies has transformed work practices, employee roles, and leadership
approaches in every workplace. This transformation points out both
opportunities and challenges. The importance of this study could be shown in
regard to how it has sought to present the effects of AI on the business world
from the point of view of opportunity and threat and offering strategies to
retain human-machine collaboration. This is justified by the fact that there
needs to be a showcase of struggles by employees to adapt to these
technological changes that seem to reorganize the working arena. Due to the
significant effects that AI anxiety brings on at an individual, organizational,
and societal level, there is now an emerging need for further research in the
subject area. The contribution to the literature is that this study will give a
new perspective to the existing theory of human-machine interaction and analyze
the impact of AI-related anxiety in the business world more comprehensively.
This research even aims at the creation of original contribution to the
theoretical framework encompassing leadership, organizational learning, and
transformation processes. The present paper will be conducted in a qualitative
approach and in the manner of a broad literature review. Reviewing the
literature, there is an emphasis on academic studies and reports assessing the
impacts of AI technologies on the business world, with the aforementioned
impacts reflected upon organizational behavior and individual psychology. Theories
and case studies dealing especially with AI anxiety are discussed here.
Priority would be given to databases such as Web of Science (SSCI and ESCI),
Scopus, EBSCOhost, and Google Scholar. Some catchwords for conducting the
search will include "Artificial intelligence," "Human-machine
interaction," "AI in working life," "AI anxiety," and
"Organizational learning.".
Keywords:
Artificial Intelligence, Artificial Intelligence Anxiety, Human-Machine
Interaction, Organizational Learning