Debunking AI's Quest for Power: The Instrumental Convergence Myth

The belief that artificial intelligence may soon threaten humanity by seeking power is gaining traction. But how grounded is this fear? At its core, this anxiety hinges on the instrumental convergence thesis, which suggests that sufficiently advanced AI agents will naturally pursue power. Yet, the argument supporting this claim lacks solid ground.

The Instrumental Convergence Thesis

Instrumental convergence is the notion that AI, regardless of its ultimate goals, will seek more power and resources to fulfill its objectives. It's a compelling hypothesis but requires rigorous backing to transition from theory to threat. Without substantial evidence, can we really justify fearing power-hungry AI agents?

Research in AI risks often circles back to this thesis. Those defending it argue that any AI, with enough capability, will autonomously head down a path of dominance. However, each defense falls short of proving that this scenario is inevitable, or even likely.

Implications for AI Governance

If the instrumental convergence thesis doesn't hold, what does that mean for AI governance and policy? It's key to address real AI challenges, like ethical decision-making and bias, rather than chase shadows. Misdirecting resources towards a speculative fear could stall genuine progress and innovation.

Governance should focus on framework development that guides AI's ethical use, not just containment strategies for hypothetical scenarios. The AI-AI Venn diagram is getting thicker, and as these technologies converge, we must ensure that our policies aren't based on unfounded fears.

Rethinking Longtermism in AI

Longtermism, the philosophy of planning with the distant future in mind, stands at a crossroads. If our assumptions about AI's power-seeking are misconceived, longterm strategies need reevaluation. Shouldn't our focus be on immediate, tangible AI impacts rather than distant and nebulous threats?

We're building the financial plumbing for machines, but if agents have wallets, who holds the keys? The conversation must shift from fear of AI sovereignty to practical governance that ensures AI serves humanity. This isn't a partnership announcement. It's a convergence of technology and policy, demanding clarity and foresight.