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57 Technium Soc. Sci. J. 206 (2024)
The Impact of Artificial Intelligence on Job Loss: Risks for Governments

handle is hein.journals/techssj57 and id is 206 raw text is: Technium Social Sciences Journal Vol. 57, 206-223, May, 2024 ISSN: 2668-7798 SOCIAL SCIENCES JOUBNAL www.techniumscience.com The Impact of Artificial Intelligence on Job Loss: Risks for Governments Mohamad Hassan Soueidan, Rodwan Shoghari Al-Jinan University, Lebanon mhdsweidan7gmail.com, ba(iinan.edu.lb Abstract. The rapid advancement of Artificial Intelligence (AI) technologies presents both opportunities and challenges for labor markets globally. By adopting a qualitative methodology, this study analyses the impact of Al integration in jobs on the labor market and the subsequent policy responses by governments. The study specifies the industries and jobs that are highly susceptible to AI-driven automation, particularly those characterized by routine and repetitive tasks. The study also acknowledges the potential for Al to create new job categories. Key findings suggest that while Al poses a significant risk of job displacement in several sectors, it also offers opportunities for economic growth, opening of new jobs and innovation. Moreover, the study highlights various government strategies employed globally, including up-skilling and re-skilling initiatives, strengthening social protection systems, and fostering AI-human collaboration. These strategies aim to mitigate the adverse impacts of Al on employment and ensure a balanced transition to AI-integrated economies. Based on these strategies, the paper suggests some recommendations for governments to address AI-driven job losses, emphasizing the importance of multidisciplinary education, ethical Al use, inclusive growth strategies, and international cooperation. Keywords. Artificial intelligence, Job loss, Labor market, AI-integrated economies, multidisciplinary education, innovation I. Introduction 1.1 Background information on Artificial Intelligence (Al) and its increasing integration into various industries Artificial Intelligence (AI) is an extensive and swiftly evolving discipline that seeks to emulate human intelligence in machines. At its core, Al works to create structures that could carry out responsibilities that would commonly require human cognition together with studying, knowledge, problem-fixing, and decision-making (Schroer, 2023). The idea of Al originated in the mid-twentieth century, with the term being formally coined in 1956 at the Dartmouth Conference (Schroer, 2023). Early Al research targeted symbolic methods and trouble-fixing models, but the discipline gradually developed to contain more probabilistic and statistical strategies. In the 21st century, Al experienced a resurgence because of the supply of massive statistics and the increasing computational power of machines, which enabled the development and alertness of complex device studying algorithms. 206

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