Commentary: Why the US government shut down Anthropic’s latest Claude AI model

HARD TO REGULATE

The opacity of the technology is one key reason it’s so hard to regulate. Governments lack independent access to the data, infrastructure and expertise they would need to evaluate proprietary frontier models.

The US administration’s recent executive order on AI security, published two weeks ago, reflects this realisation. As the administration has realised the power of frontier AI models, it has moved from an initial hands-off posture to asking developers to share their models for review before release.

That demand is an implicit admission that the administration does not trust the companies to evaluate, fully and comprehensively, what their own models can do and how they might be misused. The public sees even less, and the consequence is measurable: a survey taken across 25 countries last year found people are, on balance, more than twice as concerned about AI as they are excited about it.

THE FUTURE OF AI SAFETY

AI is a hugely hyped technology. But there is no doubt it is also extremely powerful and unpredictable. Understandably, this combination is very dangerous.

We cannot rely on regulations, as technology will develop more quickly than they can adapt. Nor can we rely on guardrails, as they will be bypassed.

We need a governance framework built for that eventuality: one that can predict and address the consequences of failure.

Such a framework must be global, participatory, and founded on reciprocal trust. These are things the current US administration has shown little capacity to generate.

Francesco Bailo is Senior Lecturer in Data Analytics, Social Sciences and Deputy Director of the Centre for AI, Trust and Governance at the University of Sydney. This article first appeared in The Conversation.