Artificial Intelligence And Working Life

This study examines the impacts of artificial intelligence (AI) technologies on the labor market, working conditions, and social policies from a social scientist's perspective. It has been emphasized that artificial intelligence increases productivity within organizations, but on the other hand, it may lead to job losses in sectors requiring low and medium skill automation. (Brynjolfsson & McAfee, 2017; Frey & Osborne, 2017). For this reason, new professions have emerged alongside artificial intelligence, replacing some jobs that require autonomous tasks. We can give examples f new job groups such as data science, algorithm auditing, and ethical consulting. However, in order to integrate into new job groups, skill transformation and the retraining of employees have become crucial. (Misican, 2020). It is now seen that there is a need for employees who not only know the job but also can use artificial intelligence. In human resources, AI applications are accelerating processes such as recruitment and performance evaluation; however, there is a risk of bias in algorithms, which can lead to ethical issues (Barocas & Selbst, 2016). Additionally, with the inclusion of artificial intelligence in decision-making processes, data-driven and collaborative leadership models are becoming more prevalent in organizational structures. (Långstedt, Spohr & Hellström, 2023). Looking at all the changes, it necessitates a reevaluation of social security systems and has brought forth policy proposals such as universal basic income (Standing, 2017; Acemoğlu & Restrepo, 2020). In conclusion, in order for the opportunities brought by AI to progress fairly, it is necessary for the government, private sector, and educational institutions to act together. (Brynjolfsson & McAfee, 2017; Acemoğlu & Restrepo, 2020).