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 By Shawn Carey Artificial intelligence (AI) is no longer a distant promise. It is here, influencing how we learn, work, and even how communities make decisions. But AI does not arrive neutral. It carries the assumptions, values, and priorities of its creators. If those do not match the people who use it, the result can be alienation, or worse, harm. That is why the idea of value alignment matters so much. At its core, it is about ensuring AI systems reflect the values of the people they serve. But as any global citizen knows, values do not look the same everywhere. What one society considers ethical or respectful may not land the same way in another. The challenge, and opportunity, is to design AI that can hold this diversity without erasing it. Western Perspectives: Individual Freedom and Choice In much of the West, the story of human dignity is often told through individual autonomy. AI designed for this context emphasizes personal control: a health platform that gives patients full access to their own data, or an education app that adapts to each student’s unique goals. The guiding principle is self-determination. Eastern Perspectives: Harmony and Collective Good Across many Eastern traditions influenced by Confucian, Taoist, and Buddhist thought, community and harmony take center stage. Here, AI should optimize not just for the individual, but for balance across the whole. A smart city system, for example, might prioritize public health, efficient energy use, and smoother traffic flow, lifting the quality of life for everyone. The guiding principle is that the community rises together, or not at all. Indigenous Perspectives: Stewardship and Interconnection Indigenous and Native American traditions remind us that our circle of responsibility extends beyond ourselves: to land, ancestors, and future generations. AI aligned with this worldview would take the long view, tracking environmental change, weaving traditional ecological wisdom into modern systems, and protecting resources for those yet to come. It is not about short-term convenience, but about being a good ancestor. The Global Citizen Perspective: Holding the Tension What does this all mean when AI platforms operate across borders? A global citizen perspective pushes us to resist one-size-fits-all answers. Instead, it calls for pluralism and empathy: acknowledging different ways of being human, while also recognizing our shared responsibility to one another and the planet. Immanuel Kant wrote, “Act so that you treat humanity, whether in your own person or in that of another, always at the same time as an end and never merely as a means.” This principle resonates with the need for AI systems to respect people’s dignity rather than reducing them to data points. Kant also envisioned a form of global citizenship grounded in hospitality, where encounters with cultural difference required respect and mutual recognition. These insights remind us that the task of AI is not only to pursue efficiency, but to uphold dignity while honoring the diversity of human communities. This perspective asks hard but necessary questions:
Global citizenship does not mean erasing cultural difference. It means building bridges between them, so AI can flex to context while still promoting shared goals. Principles for Moving Forward For AI to live up to its potential as a global citizen’s tool, developers and policymakers can ground their work in a few commitments:
Final Thought AI gives us a choice. It can flatten the world into a single mold, or it can reflect the richness of human diversity while reminding us of our shared fate. Approached through the lens of global citizenship, AI is not just about being smart or efficient. It is about being wise, humble, and deeply human, serving not just me, or us, but all of us together. Shawn Carey studied philosophy under Professor Eleanor Dunfey-Freiburger and combines that early foundation with extensive experience in educational assessment and technology. His work focuses on delivering inclusive solutions that meet students where they are while honoring diversity. He currently serves as Portfolio and PMO Manager at Measurement Incorporated, where he helps shape AI-driven scoring solutions that advance fairness and innovation in student assessment. He also serves as a Global Advisor with Global Citizens Circle (GCC), advancing dialogue on the societal impacts of AI and global equity. Please note: Each week, we invite members of the greater Global Citizens Circle community to contribute to GCC Voices. The views and opinions expressed in each blog post are solely those of the author and do not necessarily reflect the official policy or position of Global Citizens Circle. Global citizenship does not mean erasing cultural difference. It means building bridges between them, so AI can flex to context while still promoting shared goals. Comments are closed.
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