Adapting to the AI Disruption: Reshaping the IT Landscape and Educational Paradigms
Ozer M, Kose Y, Kucukkaya G, Mukasheva A, Ciris K (2025)
Publication Type: Conference contribution
Publication year: 2025
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 2261 CCIS
Pages Range: 366-374
Conference Proceedings Title: Communications in Computer and Information Science
Event location: Las Vegas, NV
ISBN: 9783031859298
DOI: 10.1007/978-3-031-85930-4_33
Abstract
Artificial intelligence (AI) signals the beginning of a revolutionary period where technological advancement and social change interact to completely reshape economies, work paradigms, and industries worldwide. This essay addresses the opportunities and problems brought about by the AI-driven economy as it examines the effects of AI disruption on the IT sector and information technology education. By comparing the current AI revolution to previous industrial revolutions, we investigate the significant effects of AI technologies on workforce dynamics, employment, and organizational procedures. Human-centered design principles and ethical considerations become crucial requirements for the responsible development and implementation of AI systems in the face of the field’s rapid advancements. IT education programs must change to meet the changing demands of the AI era and give students the skills and competencies they need to succeed in a digital world that is changing quickly. In light of AI-driven automation, we also examine the possible advantages and difficulties of moving to a shorter workweek, emphasizing chances to improve worker productivity, well-being, and work-life balance. We can build a more incslusive and sustainable future for the IT industry and beyond, enhancing human capabilities, advancing collective well-being, and fostering a society where AI serves as a force for good by embracing the opportunities presented by AI while proactively addressing its challenges.
Involved external institutions
University of Cincinnati
United States (USA) (US)
Kazakh-British Technical University (KBTU) / Казахстанско-Британский технический университет / Қазақстан-Британ техникалық университеті
Kazakhstan (KZ)
United States (USA) (US)
Kazakh-British Technical University (KBTU) / Казахстанско-Британский технический университет / Қазақстан-Британ техникалық университеті
Kazakhstan (KZ)
How to cite
APA:
Ozer, M., Kose, Y., Kucukkaya, G., Mukasheva, A., & Ciris, K. (2025). Adapting to the AI Disruption: Reshaping the IT Landscape and Educational Paradigms. In H.R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh (Eds.), Communications in Computer and Information Science (pp. 366-374). Las Vegas, NV, US: Springer Science and Business Media Deutschland GmbH.
MLA:
Ozer, Murat, et al. "Adapting to the AI Disruption: Reshaping the IT Landscape and Educational Paradigms." Proceedings of the 20th International Conference on Foundations of Computer Science, FCS 2024, and 20th International Conference on Frontiers in Education, FECS 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024, Las Vegas, NV Ed. H.R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Springer Science and Business Media Deutschland GmbH, 2025. 366-374.
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