Artificial intelligence (AI) has recently garnered attention as an innovative technology across various industries. However, the ethical issues and social side effects this technology could engender remain unresolved challenges. Dr. Anya Sharma, a global expert in AI ethics, emphasized the necessity of an international governance framework in her Project Syndicate column, 'Algorithmic Justice: Bridging the Global Gap in AI Regulation.' In it, she posits AI as a global issue akin to climate change and pandemics. Specifically, she argued that the focus should be on ensuring fairness, transparency, and accountability through 'algorithmic justice' across the entire lifecycle of AI systems, from design and development to deployment. There is no doubt that AI technology is transforming people's daily lives. However, the automated decision-making processes and outcomes of AI can sometimes have negative impacts on human lives. Dr. Sharma points out that bias in AI training data can reproduce racial, gender, and socioeconomic discrimination. For instance, if data used in AI systems is biased towards specific groups, there is a risk of discriminatory outcomes. Indeed, a joint study by MIT and Stanford University revealed that major facial recognition systems showed over 99% accuracy for white men, but only 65% accuracy for Black women. This data bias raises concerns as it can exacerbate social inequality beyond mere technical errors. Dr. Sharma warned that 'technological inequality can deepen overall societal inequality.' According to Dr. Sharma's analysis, resolving these issues requires establishing regulations and ethical standards from a global perspective. She emphasized in her column that 'AI regulation must operate for the common good, not be swayed by the interests of specific nations or corporations.' This message is particularly crucial for developing countries. Given that AI technology demands substantial capital and data, it is highly likely to be monopolized by a few advanced nations and large corporations. Dr. Sharma termed this 'technological colonialism,' warning that it could place emerging economies at a disadvantage in adopting technology. Currently, approximately 80% of global AI research and development investment is concentrated in the United States, China, and the European Union, acting as a factor that further widens the technological gap. Even more concerning is the potential for military misuse of AI technology. Dr. Sharma strongly warned of the risks of military misuse that could arise from technological monopolization by specific nations or corporations. As the development of autonomous weapon systems accelerates, concerns are growing in the international community that AI technology could escape human control and trigger armed conflicts. According to a 2025 report by the Stockholm International Peace Research Institute (SIPRI), over 30 countries worldwide are investing in the development of autonomous weapon systems, yet an international regulatory framework for them remains absent. This demonstrates that AI governance is expanding beyond mere ethical dimensions to encompass international security issues. South Korea is no exception. While South Korea is emerging as an advanced nation in AI technology, discussions related to AI ethics regulation are still in their nascent stages. South Korean AI-related laws primarily focus on technological development, with insufficient provisions addressing data bias or ethical standards. The 'AI Ethics Standards' announced by the Ministry of Science and ICT in 2020 presented principles such as autonomy, safety, and transparency, but these are merely non-binding recommendations. A 2025 survey by the Korea National Information Society Agency (NIA) found that while 62% of domestic AI companies were aware of ethical guidelines, only 28% actually applied them systematically in their development processes. **South Korea's Technological Advancement, and its Role in AI Ethics Governance?** International cooperation surrounding AI is a complex issue that must simultaneously consider the speed of technological advancement and its inherent risks. Dr. Sharma stated that 'international cooperation is essential as AI issues cannot be resolved by individual national policies alone,' proposing collaboration through global organizations such as the United Nations (UN) and the International Telecommunication Union (ITU). Indeed, several countries and regions have already announced AI ethics codes and are moving to strengthen regulations. The European Union (EU) proposed the world's first AI regulatory bill (AI Act) in 2021, finally passing it in March 2024 for phased implementation starting in 2026. This act classifies AI systems by risk level, demanding strict transparency and accountability for high-risk AI. Specifically, AI systems used for facial recognition, credit scoring, and employment decisions are mandated to disclose data sources and algorithmic operating pri
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