EUROPEAN JOURNAL OF SOCIAL SCIENCES (EJSS)
Development and Threats of Artificial Intelligence in Industry and Workforce
E-ISSN: 4899-5667
P-ISSN: 1450-2267
DOI: https://iigdpublishers.com/article/796
The abstract explores the transformative impact of Artificial Intelligence (AI) on global industries, highlighting its role in enhancing efficiency and innovation while also posing challenges such as job automation, skills gaps, data misuse, and ethical concerns. Drawing from the Global Risk Report 2024 and recent regulatory actions by the European Union and Indonesia, the abstract discusses the pressing need for AI governance. However, it lacks specificity in articulating the study's objectives and scope, and could benefit from providing concrete examples or statistics to support its claims. A clearer organizational structure and citation of relevant sources would enhance the coherence and credibility of the abstract. Furthermore, while emphasizing the importance of human control over AI, the abstract could offer a more nuanced conclusion that underscores the significance of the study's findings in achieving this goal.
Francisca Romana Nanik Alfiani
Abdullah, A. A. H., & Almaqtari, F. A. (2024). The impact of artificial intelligence and Industry 4.0 on transforming accounting and auditing practices. Journal of Open Innovation: Technology, Market, and Complexity, 10(1). https://doi.org/10.1016/J.JOITMC.2024.100218.
Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Davila Delgado, J. M., Bilal, M., Akinade, O. O., & Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44. https://doi.org/10.1016/J.JOBE.2021.103299.
Addanki, M., Patra, P., & Kandra, P. (2022). Recent advances and applications of artificial intelligence and related technologies in the food industry. Applied Food Research, 2(2). https://doi.org/10.1016/J.AFRES.2022.100126.
Alenizi, F. A., Abbasi, S., Hussein Mohammed, A., & Masoud Rahmani, A. (2023). The artificial intelligence technologies in Industry 4.0: A taxonomy, approaches, and future directions. Computers and Industrial Engineering, 185. https://doi.org/10.1016/J.CIE.2023.109662.
Bangkara, R. P., & Mimba, N. (2016). Pengaruh perceived usefulness dan perceived ease of use pada minat penggunaan internet banking dengan attitude toward using sebagai variabel intervening. E-Jurnal Akuntansi Universitas Udayana, 16(3), 2408–2434.
