If there are two general principles that unify my recent work on technology policy and innovation issues, they would be as follows. To the maximum extent possible:
- We should avoid preemptive and precautionary-based regulatory regimes for new innovation. Instead, our policy default should be innovation allowed (or “permissionless innovation”) and innovators should be considered “innocent until proven guilty” (unless, that is, a thorough benefit-cost analysis has been conducted that documents the clear need for immediate preemptive restraints).
- We should avoid rigid, “top-down” technology-specific or sector-specific regulatory regimes and/or regulatory agencies and instead opt for a broader array of more flexible, “bottom-up” solutions (education, empowerment, social norms, self-regulation, public pressure, etc.) as well as reliance on existing legal systems and standards (torts, product liability, contracts, property rights, etc.).
I was very interested, therefore, to come across two new essays that make opposing arguments and proposals. The first is this recent Slate oped by John Frank Weaver, “We Need to Pass Legislation on Artificial Intelligence Early and Often.” The second is Ryan Calo’s new Brookings Institution white paper, “The Case for a Federal Robotics Commission.”
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