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AI safety filters and the question of authority
Artificial Intelligence safety is finally moving from policy papers to real-world code.
By Phil Kinsley
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Artificial Intelligence safety is finally moving from policy papers to real-world code.
Anthropic and the United States Department of Energy just announced nuclear-risk filters for large language models. On the surface this looks reassuring, but it raises difficult questions.
If one model can be trained to avoid nuclear risks, why stop there? Should every model be forced to avoid any topic that governments or corporations label as “too dangerous”? Who gets to draw that line, and who is trusted to enforce it?
Here is the uncomfortable reality: filters are power. In the right hands, they can protect society. In the wrong hands, they can also silence it.
The provocation: Are we moving toward a safer AI ecosystem, or toward centralized control over what knowledge these systems can access and share? The answer will shape whether AI becomes a tool for human progress or an instrument of restriction.
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