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Cackles In The Mist's avatar

I appreciate this piece and the focus on democratic participation. One thing I’d add is that AI governance isn’t a single lever — it’s a four layer ecosystem, and each layer has different strengths and limits:

1. Standards bodies (NIST, ISO, IEEE)

They don’t regulate; they define how to measure safety, robustness, and transparency.

They create the legibility that everything else depends on.

2. Independent ethics & safety research

Academic and nonprofit groups that surface risks and frameworks.

They shape norms, even though they don’t have enforcement power.

3. Corporate governance

Internal guardrails like Microsoft’s Responsible AI Standard or Anthropic’s Constitutional AI.

Uneven, but real — and increasingly auditable.

4. Government bodies

The only layer with enforcement authority, but also the layer that uses AI for surveillance, national security, and intelligence.

The U.S. problem isn’t just “too little regulation.” It’s that we’re missing the connective middle layer that ties these pieces together — the layer other democracies treat as basic infrastructure.

If we want democratic oversight of AI, the path is likely a combination of standards, audits, procurement rules, and domain specific constraints (policing, immigration, critical infrastructure), rather than a single sweeping fix. It’s slower, but it’s how durable oversight is built.

Mike Moschos's avatar

Far more democratic participation is very, very warranted with the rollout of ai, among several other different dynamics currently at play. But that would require structurally re-decentralizing and returning to significant regional (states) and less-so-but-still-substantial local legal/regulatory variability, policy variability, re-decentralization of banking/finance (real decentralization, not BITCOIN!, so jurisdictional diffusion, credit policy variability, legally constructed pluralized capital structures, ect), deliberate redundancy, and local government fiscal primacy; among other things

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