Examining Systemic Forces Shaping AI's Global Trajectory
Original framing: “Roundtables: Unveiling The 10 Things That Matter in AI Right Now” — MIT Technology Review
Marginalized communities, particularly in the Global South, are often excluded from AI development but disproportionately affected by its consequences. Their inclusion is essential for equitable AI systems.
AI is not a neutral technology but a system embedded within power structures that favor corporate and state interests.
To move toward a more just and sustainable AI future, we must integrate indigenous and local knowledge, democratize AI governance, and prioritize long-term ecological and social well-being over short-term profit. Historical patterns show that technological innovation often widens inequality unless actively countered. By learning from cross-cultural models and centering marginalized voices, we can build AI systems that serve the common good rather than reinforcing existing hierarchies.