The Next Frontier Of AI Isn’t Intelligence, It’s Trust

The labs now say the frontier should be paced and governed. The harder question is what happens after a system leaves the lab and is trusted with a life.

Artificial intelligence has become essential to business operations. However, as adoption accelerates, one issue remains constant: trust. To gain users’ trust, foster innovation, and lower regulatory risks, leaders are realizing that AI must be explainable, governed, and designed with transparency in mind.

However, earlier in September, three people building frontier AI said in public that speed is no longer a sufficient plan.

Dario Amodei, chief executive of Anthropic, wrote in “We Must Pace the Frontier” that “we must slow the pace at which we improve the capabilities of AI models.” Progress will still seem fast, he continued. “We must make wise use of the time we gain.” The most effective method of pacing, in his view, is through regulation that targets all AI companies at the US frontier.

Sam Altman, chief executive of OpenAI, answered the same week. “I agree with Dario that we need to pace the frontier,” he wrote. “Committing to having independent evaluators with employee-like access is a great idea, and we will do the same.”

Demis Hassabis, chief executive of Google DeepMind, answered in the same few days. “Dario’s essay points in the right direction,” he wrote. “The details need working through, but the direction is correct for meeting this critical moment. This is also why we recently put out our proposal for an industry-wide standards body for frontier AI.”

None of them describes where, inside the system, a person can see what it knows, what it may do, and who approved a change. Pacing decides when a model ships. A home, a hospital, or a product meant to act on a mind is a different question.

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