Exploring how artificial intelligence shapes learning outcomes and inequality worldwide
This website explores the intersection of artificial intelligence and global engagement, examining how AI technologies create both opportunities and inequalities across different regions and communities. Through research, interviews, and analysis, I investigate how AI impacts education, employment, healthcare, and human rights on a global scale.
Each article examines a specific aspect of AI inequality, from access to educational tools to surveillance systems, always connecting back to how these issues affect people differently around the world.
Access to high-quality learning support is becoming AI-boosted for some countries and schools, while remaining nonexistent for others. This article compares student realities across different contexts and maps the full "stack" of inequality.
AI hiring tools can reinforce bias and lock people out of work, especially migrants and applicants from "non-prestige" regions. I examine how automated hiring works and what it means for global job markets.
AI systems often perform best in English and for "data-rich" languages, creating disadvantages in education, healthcare, and business for billions of people worldwide.
Surveillance tools can disproportionately harm minorities, migrants, protesters, and low-power groups. I compare how different regions regulate these technologies.