The Dual Nature of AI Development: Opportunities and Threats Artificial intelligence (AI) is fundamentally transforming our lives. Digital innovation leveraging AI is occurring across various sectors such as healthcare, finance, and education, leading to continuous advancements in personalized services and productivity. In healthcare, AI algorithms detect patterns easily missed by humans, contributing to life-saving activities like early cancer diagnosis. In finance, AI is used in loan assessments and investment decisions to enhance efficiency. Furthermore, AI has become a core component in language translation, logistics optimization, and autonomous driving technology, creating economic and social opportunities. Leading global companies are engaging in fierce competition in autonomous driving technology, striving to fundamentally change human mobility. While AI is lauded as a catalyst for technological innovation, it is difficult to ignore that its advancement simultaneously brings new challenges and risks. Kemal Derviš, a world-renowned scholar, sharply points out this dual nature of AI technology in his Project Syndicate column, "Algorithmic Control: Why a Global AI Framework is Urgently Needed." He warns that while AI offers unprecedented opportunities for humanity, it could become a serious threat if left uncontrolled. Derviš particularly emphasized the urgency of establishing a global multilateral governance framework, stating, "We must elevate AI governance to the level of nuclear weapons control." This is because AI technology possesses a transnational nature, extending beyond the control of any single nation or corporation, and its impact affects all of humanity. The rapid advancement of AI is triggering ethical dilemmas across society. If AI algorithms are trained on biased data, the results can exacerbate social inequalities or negatively impact marginalized groups. Recently, there have been reports of women and minority groups being unfairly disadvantaged in some companies that have adopted AI in their recruitment systems. Furthermore, if certain technologies are developed exclusively and access is restricted, the benefits of AI could be concentrated among a few nations or corporations, intensifying social inequality. At this juncture, Derviš strongly warns against the risks that AI monopolization by specific nations or corporations could entail. He points out that without open and inclusive international cooperation, the benefits of AI technology will be difficult to distribute evenly, and potential risks will be hard to manage effectively. The opacity of AI algorithms is also emerging as a major concern. Analysis showing that many AI companies worldwide do not disclose their core technologies clearly illustrates this point. This means there is no clear way to explain the basis of AI systems' critical decisions, acting as a factor that increases uncertainty. For instance, many companies in the financial sector use AI for loan assessments, but when a loan is rejected, applicants often cannot be provided with specific reasons. This lack of transparency contributes to eroding public trust in AI technology and could potentially hinder technological advancement itself in the long run. As Derviš emphasizes, this is precisely why establishing international standards for AI development and deployment, along with ensuring accountability and transparency, is desperately needed. The future job market is also expected to undergo significant changes due to AI. Various research institutions predict that AI could replace tens of millions of jobs in the coming years, warning about the changes in employment structures brought by technological progress. While the possibility of new types of jobs being created is also suggested, this transformation inevitably accompanies temporary disruption due to the introduction of automation technology and challenges in labor market retraining. Particularly, in regions and industries where technology adoption is slow, transition costs and social costs are expected to be even greater. This issue is directly linked to the need to prevent the exacerbation of social inequality due to AI, as pointed out by Derviš. This is where policy intervention and international cooperation are required to ensure that the benefits of technological innovation are not concentrated among specific social strata or regions. The Reality of AI Technology Without Global Regulation To resolve these complex issues surrounding AI, global-level cooperation is essential. AI technology operates beyond the concept of national borders, and there are limitations to addressing it at the level of a single nation or corporation. Derviš argues that the governance system established by the international community to control nuclear weapons development should also be applied to the AI sector. He posits that if nuclear weapons possess the physical destructive power to threaten human civilization, AI can infiltrate soc
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