Limits and challenges of human resource technological talents in AI age
Abstract
Abstract. IT based-learning activities are rapidly developing in world countries. There are a few approaches available for interacting and measuring technological talents. But, in modern days AI rapidly expands almost all sectors of the national economy. From this point of view some challenges in human capital development from high IQ level IT personnel. This study denotes the development challenges of human resources in technology-based economies. In total, 65 countries from 193 populations were sampled. Such human-AI partnerships are a new form of socio-technical system in which the potential synergies between humans and machines are much more fully utilized. To achieve this, AI systems will need to leave their currently solipsistic nature behind and be able to cooperate, coordinate, and compete with one another and their human interlocutors. Such partnerships will combine their complementary skills and capabilities to make the best use of the distinctive strengths of humans and machines. We used OLS and robust regression analysis, while the logarithmic transformation linear regression model was found significant as well. Governmental AI Readiness Index and IQ level (2021) as an independent variable estimated in various tests in p<0.05 statistically significant level. Mainly, the generalized hypothesis was found to fulfilled H0 but as for the data normality, it has been found 3 values are not significant. The results of the three models can be applied in the public and business administration of governments. Increasing technological talents in major economies can take one more advantage by implementing AI with a high level of IQ for further well-being in world countries.