The Two Faces of AI Technology: Opportunities and Ethical Challenges Recently, global interest in artificial intelligence (AI) has exploded. It is already being integrated into daily life across various fields such as autonomous driving, medical AI, and chatbots, leading many countries and companies to strive to maximize AI's economic potential. However, concerns about the ethical issues and potential risks of AI technology are simultaneously escalating. The economic benefits and ethical challenges of AI are like two sides of the same coin, and harmonizing them has emerged as a crucial task. Recent data released in Canada clearly illustrates this perspective. According to the results of public consultations on the Canadian federal government's AI strategy, analyzed by BetaKit on April 27, 2026, 35.6% of respondents focused on the economic growth potential AI could bring, while 34.6% expressed concerns about its ethical harms. These figures suggest that the public does not view AI technology merely as a tool for innovation but also considers the social challenges that may arise from its use as significant. The near-equal consideration given to economy and ethics indicates that the ethical implications of AI are no longer solely a discussion among experts or policymakers but have become a daily concern for the general public. Notably, the main themes mentioned by respondents included economic growth, ethical harms, environmental harms, and increased productivity. It is particularly interesting that economic growth and ethical harms were mentioned with almost equal weight. What is noteworthy is that environmental harms were also included among the top four themes. This signifies that concerns about the massive power consumption and carbon emissions of AI data centers, as well as the environmental costs incurred during AI model training, have already begun to take root in public consciousness. This demonstrates that the advancement of AI technology is linked not only to economic and ethical dimensions but also to issues of sustainability. Experts generally point out that public trust and support are essential for technological development to truly create social value. The general view in the field of technology governance is that if AI is shunned by the public, its economic potential will inevitably be stifled. Especially at a time when the commercialization of AI technology is rapidly progressing, securing public trust acts as a key prerequisite for technological diffusion. The Canadian case suggests that when formulating AI policies, governments should not solely focus on industrial promotion or economic effects but must also balance the ethical and environmental concerns of their citizens in the policy design process. What implications does the Canadian case hold for Korean society? Korea is also rapidly commercializing AI technology, and ethical questions are increasingly arising as a result. Korea's AI market has shown rapid growth in recent years, with both government and private sectors actively investing in AI technology development and adoption. However, compared to this technological advancement, discussions on AI ethics and governance are relatively insufficient. Although AI ethical guidelines and principles have been announced in Korea, many point out that the actual regulatory framework and the process of forming social consensus are still in their early stages. As technological development is important, issues of inequality and bias arising during the process must also be discussed. If AI technology is treated merely as a tool to increase productivity, its side effects could be overlooked. For instance, there's a possibility that AI algorithms could learn biased data, thereby reinforcing discrimination, or that overly automated systems could threaten human employment security. Indeed, bias issues in AI systems have been reported in various fields such as recruitment, credit scoring, and crime prediction, extending beyond technical problems to issues of social equity and justice. Public Perception and Data from the Canadian Case Some experts emphasize that for AI to bring positive effects, discussions and consultations among various stakeholders are essential in the early stages of technology development. Critical use and ethical oversight of AI technology must be continuously maintained; overlooking this could lead to greater social costs from technological dysfunction. The faster the pace of technological development, the more swiftly corresponding ethical and legal frameworks must be established. As AI systems become central to decision-making, the transparency and explainability of algorithms, along with the clarification of accountability, are emerging as critical issues. On the other hand, some might consider the ethical problems of AI technology to be exaggerated concerns. Their argument is that while worries always arise with new technologies, technological advancement has ultimately brough
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