James Broughel is a Senior Fellow at the Competitive Enterprise Institute. He has been a contributor at Forbes since 2021, where he covers breaking news related to state and federal regulation. His expertise spans a broad range of issues from artificial intelligence to nuclear power.
Policymakers are scrambling to keep pace with technological advancements in artificial intelligence. The recent release of draft guidelines from the U.S. AI Safety Institute, a newly-created office within the National Institute of Standards and Technology , are the latest example of government struggling to keep up. Like with so many policies emerging from President Biden 's 2023NIST is a well-respected agency known for setting standards across a variety of industries.
The proposed risk measurement framework asks developers to create detailed threat profiles for different actors, estimate the scale and frequency of potential misuse, and assess impacts. These are tasks that even national security agencies struggle to do effectively. This level of analysis for each model iteration could significantly slow down AI development and deployment.
The danger is that these risk analyses will become a lever that regulators use to impose an overly cautious approach to AI development and innovation. We've seen similar precautionary logic embedded inThe guidelines seem to overlook the distributed nature of risk management in AI ecosystems. Different risks are best addressed by different actors at various stages of the AI lifecycle.
In the context of a hypothetical superintelligent AI, open-source models might indeed create unique and deeply concerning risks. However, at current technology levels, the benefits of open-source AI—including transparency, collaborative improvement, and democratized access—are substantial.
AI Safety Institute Biden Artificial Intelligence AI Risk Foundation Models Guidance Commerce Department
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