Quo Vadis, AI?

Vladan Devedžić

doi:10.7595/management.fon.2021.0001

Vladan Devedžić University of Belgrade, Faculty of Organizational Sciences, Serbia http://orcid.org/0000-0002-5790-0240

DOI: https://doi.org/10.7595/management.fon.2021.0001

Abstract

Research Question: This article reflects on currently popular topics and future development and application of AI. Motivation: AI has become a key technology in many areas – from business and services, to science engineering and engineering, natural language processing and news, publishing and writing, human resource management and education, medicine and healthcare, transportation and aviation, government, military and agriculture. Idea: As the field advances and expands at an unprecedented pace, it becomes more and more difficult to distinguish between AI and other fields. Data: The article is based on a qualitative analysis of relevant literature and direct insights into the field of AI during the last 35 years. Tools: The article uses direct observation and content analysis to derive conclusions. Findings: Just like any other technology, AI has both its bright and its dark sides. There is a number of expectations, hopes and promises of AI that still remain to be fulfilled, yet new avenues for further development open day after day. Contribution: The article attempts to put AI developments in different contexts and shed different lights on AI applications in general, AI applications in business, in particular, and current limitations, trends and challenges in the field.

Author Biography

Vladan Devedžić, University of Belgrade, Faculty of Organizational Sciences, Serbia

Vladan B. Devedzic, PhD, is a Professor of Software Engineering at FOS – Faculty of Organizational Sciences, University of Belgrade, Serbia. He also used to teach several computer science courses at the School of Electrical Engineering, University of Belgrade, as well as at the Military Academy of Serbia (ex Yugoslav Military Academy). His long-term professional objective is to bring close together ideas from the broad fields of intelligent systems and software engineering. His current professional and research interests include software engineering, programming education, intelligent software systems and technology-enhanced learning (TEL). He is the founder and the chair of the GOOD OLD AI research network. Further details about his work and research can be found at http://devedzic.fon.bg.ac.rs/