AI regulation urgently needed to address systemic risks and power imbalances
Original framing: “Time to apply the brakes to runaway AI, says pioneer” — Global Issues
Scientific research increasingly shows that AI systems inherit and amplify societal biases. Without rigorous auditing and transparency mechanisms, these systems can reinforce systemic discrimination in areas like hiring, policing, and healthcare.
The systemic risks of AI are not just technical but deeply rooted in historical patterns of power concentration and knowledge extraction.
By integrating Indigenous and non-Western knowledge, implementing participatory governance, and promoting open-source alternatives, we can shift AI development toward equity and sustainability. Historical parallels with industrialization show that without proactive regulation, technological progress can deepen inequality. A pluralistic, culturally grounded AI ethics framework is essential to ensure that AI serves the common good rather than reinforcing existing power imbalances.