The war between fast and legitimate is here (www.joanwestenberg.com)

The recent discourse surrounding the European Union's AI Act underscores a growing tension between the rapid advancements in AI technology and the slow-moving regulatory frameworks designed to govern them. As entities like OpenAI rolled out GPT-4 to millions in mere months, regulators meticulously crafted definitions of "high-risk" AI systems—a process that, while thorough, ultimately struggled to keep pace with the speed of innovation. This divergence between swift technology deployment and the slow, deliberate nature of legitimate institution-building raises crucial questions about governance and accountability in the AI/ML community. The significance of this debate lies in the potential bifurcation of society into two tiers: one governed by agile algorithms and private sector policies, and the other constrained by traditional governmental processes. As fast-moving organizations often yield innovations without sufficient oversight—exemplified by the likes of Theranos and FTX—the call for a balanced approach becomes urgent. The challenge will be to create hybrid institutions that can navigate both the need for speed where appropriate and maintain legitimacy where trust is essential. This discourse emphasizes the importance of recognizing which game one is playing—be it regulatory or entrepreneurial—and adapting accordingly to avoid the pitfalls of both rapid failure and protracted obsolescence.