A QUALITATIVE STUDY EXPLORING THE TWO SIDES OF THE SAME COIN: SITUATIONS WHERE AI IS SUITABLE AND WHERE IT IS NOT
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Abstract
This qualitative research examines professionals’ perceived suitability of Generative Artificial
Intelligence (AI) for various situations across four different professional fields. Through 30
interviews with Swedish professionals, the study explores when and why AI is perceived as
either suitable or unsuitable. Findings present that AI is perceived as suitable for structured and
data intensive tasks, such as documentation, analysis, and routine support. In contrast, AI is
perceived as unsuitable for situations involving moral judgment, emotional sensitivity, and social
human interaction. Moreover, attitudes and trust are seen to influence how professionals perceive
AI and its suitability, where more positive approaches and higher levels of trust to AI enhances
adoption and usage. The study also demonstrates how professionals rely on AI while
simultaneously recognising its limitations, revealing a contradiction between the professionals’
perceived suitability of AI and their practical use of it. The professionals further tend to perceive
AI as objective for structured and neutral situations, which may lead to ethical dilemmas and
increased inequalities. Moreover, it is shown that an overreliance on AI could hinder
professionals’ opportunity for learning and be an obstacle for collective tacit knowledge
development. Together, these insights contribute to a broader understanding of professional’s
perceived suitability of AI in various situations, along with presenting practical implications for
organizations and managers aiming to work with AI in a responsible and ethical manner.
Description
MSc in Management
Keywords
Artificial Intelligence, Generative AI, AI Suitability, Professional Roles, Attitudes Toward AI, Human-AI Collaboration, Ethical AI Use