What's new in AI governance, safety, jobs and society

Anything we do to stop things in the AI space is probably just noise. It is also impossible to do this globally in a coordinated fashion.

As AI agents move from experimentation into production, they are increasingly capable of executing commands, accessing enterprise systems, modifying infrastructure, and making operational decisions without continuous human supervision. But what happe...

These models lack bodily experience, understanding the world largely through statistical associations. To advance embodiment in artificial intelligence and achieve genuine world comprehension, we posit that models must move beyond token associations ...

IMDA and CSA are therefore studying how to strengthen the reporting of serious AI-related incidents, including whether additional reporting or information-sharing arrangements are needed. We will draw on international approaches and build on existing...

Transparency labels should be legally required for synthetic (AI) content in electoral communications such as ads.

As I see it, solving alignment for LLMs isn’t just impossible, it’s incoherent: we can’t even articulate what it would look like to succeed.

If Anthropic was just one voice among many, this would not matter. But given its market-leading position and the risk that the industry develops as an oligopoly, society as a whole may wish to have some say over what is good for it. There are ways to...

AI is creating opportunities in model development, chip design, data infrastructure, cybersecurity, governance and enterprise implementation. The question is whether these roles will grow fast enough to offset pressure on routine work, and whether di...

To get from today’s AI to human extinction requires a long chain of assumptions. [...] Luckily, none of the steps on this list have come to pass yet. [...] However, something being difficult to disprove does not make it likely. [...] Possibility is b...

We can put these companies on notice that they’re going to be evaluated by folks that understand the process, that understand the technology, and will be transparent and hold them accountable so that they create safe products, and they don’t send out...

Machines are tools, not persons. Today, some propose granting these systems rights, or even legal personhood. Such an approach risks obscuring human responsibility and leaving those who suffer harm to confront a faceless entity.

Alternatively, a second idea suggested by Greg Ip of the Wall Street Journal, Nobel Prize winners Paul Krugman and Daron Acemoglu (with co-authors Andrea Manera and Pascual Restrepo) is to rectify the current imbalance of taxation on labor and capita...

Independent third-party AI auditors will act like financial accounting firms: investigating and verifying safety protocols and legal compliance. They’re a critical part of the safeguards needed around powerful frontier AI models.

The seductive yet deeply problematic ability of AI to suggest suspects for law enforcement is yet another reason to put a stop to license plate surveillance, location tracking of any kind, and mass surveillance in general.

The United States has a clear interest in helping its partners and allies navigate this choice strategically, and there are several steps it should take. Most importantly, Washington should develop frameworks to assure more reliable access to the U.S...