Warnings that polarization will intensify during the Great Transformation of Artificial Intelligence..

Warnings that polarization will intensify during the Great Transformation of Artificial Intelligence (AI) have poured out primarily in Korea’s main academia. The message is that corporations and staff might be culled in response to industrial adjustments, resulting in an imbalance in the labor market

The analysis was made at the “AI Great Transition Era Labor, Industry, and Science and Technology Innovation” discussion board held by the Korean Policy Association at the Korea Regional Information Development Institute in Mapo, Seoul on the twenty fourth. “A new job ecosystem is being formed based on human-AI collaboration, such as data scientists and AI engineers,” stated Kang Sung-jin, chairman of the Korea Economics Association. “This means structural changes in which technological development does not reduce jobs, but reorganizes and evolves.”

However, issues continued about the focus of competitiveness that will happen in the course of of AI transition. “The problem is the speed and gap of the transition,” stated Lee Seok-hwan, president of the Korea Policy Studies. “AI tends to focus its competitiveness on a small number of companies that preempted data, computing resources, and algorithmic capabilities because their performance increases as they combine.” Likewise, the polarization that widens the hole between the high-skilled and low-skilled may intensify in the labor market, he stated.

Yoon Jong-bin, chairman of the Korean Political Science Association, stated, “Simple repetitive administrative tasks will disappear and the need for high-skilled workers to build and manage AI systems will increase rapidly,” including, “As the productivity gap of workers according to AI skills widens, technology-biased polarization may appear.”

It was urged that the authorities’s preemptive infrastructure development and training coverage transition needs to be carried out at the identical time. It is predicted that the elimination of infrastructure gaps and lifelong studying techniques will be key drivers in figuring out particular person and nationwide competitiveness in the AI period. Chairman Lee stated, “The policy should focus on narrowing the gap between the right to access and use information,” including, “It is necessary to create platform-based services that can be used by small and medium-sized companies or private businesses.” Chairman Kang emphasised, “We need to switch from talented people who use machines to those who lead machines,” including, “Continuous education, retraining, and job change training are essential.”

“Universities should switch from education providers to learning designers,” stated Moon Soo-bok, chairman of the Korea Information Science Association. “In AI and human collaboration structures, learners should design AI tools for when, for what purpose, and under what constraints.”

Psychology is worried about the deprivation of AI underprivileged and has recognized that a security web for human-specific skills is critical. Choi Hoon-seok, chairman of the Korean Psychology Association, stated, “We need to ensure human intervention in AI’s decision-making process and institutionalize psychological and procedural fairness to challenge the results.”