Artificial Intelligence in the Context of
Managerial Responsibility Cover Image

Artificial Intelligence in the Context of Managerial Responsibility
Artificial Intelligence in the Context of Managerial Responsibility

Author(s): Dušan Kučera
Subject(s): Social Sciences, Economy
Published by: Vysoká škola ekonomická v Praze
Keywords: AI; anthropology; ethics; social risks
Summary/Abstract: Purpose: The purpose of the contribution is to identify the sources of the present mostlyuncritical optimism regarding the application of AI, which illuminates the old idea ofrobotisation and the attempt to replace a man with a machine. Design/methodology/approach: The conceptual study aims to identify the philosophical birthof the idea that a person can be understood as a robot or a machine. This idea is subsequentlyanalysed in the light of complex scientific interest with the question, how far the technologicaldevelopment of AI projects represent the separation of scientific approach and its reduction oninformational and mechanical functions revealing the ethical consequences for management. Findings: The study reveals the original philosophical foundations of AI principles and theirpositivist approaches. The application of AI is important for the deeper awareness of managerialresponsibility and new treats for individuals and society in the future. Research/practical implications: The impact of the study rests in the ethical dilemma thatneeds to question the promotion and application of AI. The current treats of possible dual useof robotic technology confirm the need for critical debate among both the academicstechnologists and managers. The challenges for management risks relate to personal autonomy,democratic stability and national sovereignty. Originality/value: Critical analysis about AI in the similar anthropological, managerial, socialand ethical contexts are because of technological positivism and economic expectationssporadic today, especially in the frame of complex management responsibility.

  • Page Range: 419-431
  • Page Count: 13
  • Publication Year: 2019
  • Language: English