Understanding AI education processes in business serves as a catalyst for improving AI education in higher education. This integration goes beyond disciplinary boundaries to produce a comprehensive teaching strategy that enhances academia with real-world knowledge. Because business and higher education go hand in hand, it is important to examine and model effective business strategies in order to improve course offerings.
The following section represents an extended abstract of a chapter comprised in Changing the Game. AI in Education (Eds. Alexandra Zbuchea, Florina Pinzaru, Cristian Vidu, Tritonic, 2023), written by Mădălina-Elena Stratone, Victor-Emanuel Ciuciuc & Laura Andreea Oprea, entitled “Empowering Organizational Success: The Imperative for AI Education to Enhance Human Capital Proficiency in Daily Activities.”
The requirement for knowledgeable and skilled human capital becomes critical as businesses progressively incorporate artificial intelligence (AI) into their everyday activities (Southworth et al., 2023). This is necessary to ensure successful AI adoption and implementation. This literature review article explores the necessity of offering AI education to the employees of companies, highlighting the crucial part it plays in improving human capital competency in applying AI to daily tasks. The paper begins by examining the quick development of AI technology and its pervasive influence on numerous industries, highlighting the revolutionary potential it holds for businesses looking to improve procedures, increase productivity, and gain a competitive edge (Aldoseri, Al-Khalifa, & Hamouda, 2023). However, efficient and responsible use of AI tools demands a staff that is well-trained, skilled and prepared.
The article emphasizes the crucial elements of AI education, such as the development of technical skills and domain-specific knowledge, as well as the promotion of an understanding of AI’s ethical implications (Aldoseri, Al-Khalifa, & Hamouda, 2023; Ma et al., 2022; Ray, 2023). It does so by drawing on a wide range of scholarly sources. Businesses that invest in thorough AI education programs give their staff the technical skills they need, but they also foster an innovative and adaptable culture.
Furthermore, the review identifies the challenges and barriers organizations might encounter during the AI education process, such as resistance to change, the scarcity of qualified instructors, and the need for continuous learning to keep pace with AI advancements (Cain, 2023). Addressing these challenges requires strategic planning, collaboration among stakeholders, and a commitment to creating a learning-centric environment.
A few case studies and best practices from businesses (PwC, KPMG) that have successfully adopted AI education efforts are also included in this article, which highlights the practical advantages of empowering employees. The favorable results highlight the significance of AI education as a transformative force, from improved AI adoption rates and increased organizational performance to increased employee engagement and job satisfaction.
This review of the literature concludes that empowering enterprises’ human capital through AI education is not just an issue of competitive advantage but also a tactical necessity for preparing the workforce for the future and fostering organizational success. Organizations may fully utilize AI’s potential and build a symbiotic relationship between human intelligence and artificial intelligence in their operations by closing the knowledge gap and establishing a culture of continuous learning.
Sources
Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2023). Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges. Applied Sciences, 13(12), 7082.
Cain, W. (2023). AI emergence in education: Exploring formative tensions across scholarly and popular discourse. Journal of Interactive Learning Research, 34(2), 239-273.
Ma, H., Gao, Q., Li, X., & Zhang, Y. (2022). AI development and employment skill structure: A case study of China. Economic Analysis and Policy, 73, 242-254. https://doi.org/10.1016/j.eap.2021.11.007
Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems. https://doi.org/10.1016/j.iotcps.2023.04.003
Southworth, J., Migliaccio, K., Glover, J., Glover, J.`N., Reed, D., McCarty, C., Brendmuhl, J., & Thomas, A. (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, 4, 1-10. https://doi.org/10.1016/j.caeai.2023.100127
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The full chapter can be accessed here.
About the authors
Mădălina-Elena Stratone graduated with two master’s degrees from the Faculty of Management (SNSPA): Programs and Investments Management (2017-2019) and Entrepreneurship and Strategic Management (2019-2021). Between 2019 and 2020, she completed an 11-month Erasmus internship at the Faculty of Economics in A Coruña, Spain. Currently, Mădălina is an assistant professor and a Ph.D. student at the Faculty of Management; her research interests are closely related to intellectual capital, organizational performance, communication in virtual teams, and organizational agility. For more details on her research interests and publications to date, please consult her ORCID profile.
Victor Emanuel Ciuciuc is an assistant professor with a Ph.D. at the Faculty of Management, where he has been teaching seminars in the field of management, marketing, and business promotion since 2019, both at the Faculty of Management and the Faculty of Communication and Public Relations in SNSPA. He is currently pursuing doctoral studies in management at the Multidisciplinary Doctoral School of SNSPA, focusing on the reconfiguration of managerial strategies from the perspective of sustainable development in Romanian companies. He holds a master’s degree in Brand Management and Corporate Communication and another in Educational Management, and he is a double bachelor’s degree holder in economic sciences with specializations in management and marketing.
Andreea-Laura Oprea obtained a master’s degree from the Faculty of Management (SNSPA): Programs and Investments Management (2017-2019). Currently, Laura is a Ph.D. student at the Faculty of Management, with research interests in intellectual capital, strategic management, and business process outsourcing.
