The disruptive nature of AI-Powered technologies: balancing the dichotomy of dependence and autonomy for IT Professionals
This paper critically examined the impact of over-dependence on Artificial Intelligence (AI) by Information Technology (IT) Professionals, exploring the impact on cognitive functions such as critical thinking, decision-making, and problem-solving, and how these affect the autonomy of IT Professionals. Using quantitative research methodology, the study surveyed 180 IT Professionals to gauge their usage of and dependence on AI-powered tools, as well as their perceptions about AI technologies and the effects these might have on their cognitive abilities. The findings showed a very significant integration of AI by the respondents in both their personal and professional capacities, as well as a substantial dependence on AI-powered tools, particularly for decision-making purposes. Furthermore, there appeared to be a possible underestimation of the effects that AI usage has on cognitive abilities, as expressed through the paradoxical survey results. Moreover, several ethical issues were identified such as bias, privacy and the lagging behind of laws and regulations, further serving to complicate the effects of over-dependence on AI. Based on its findings this paper makes recommendations for the development of clear guidelines for the use of AI, continuous learning and development programs, focusing on AI advancements and risks, as well as the implementation of frequent impact and security assessments. These recommendations aim to assist organisations and IT Professionals to benefit from the advantages of AI while maintaining critical skills, human oversight and intuition.
Authors
- Michael R. Frater
- Rodney Mushininga
Institutions
- Indian Institute of Management Amritsar (IN)
Publication Details
- Journal
- International Journal of Research in Business and Social Science (2147-4478)
- Published
- 2025-03-07
- DOI
- https://doi.org/10.20525/ijrbs.v14i2.3678
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00