What experts and citizens think about AI governance, safety, jobs and society

They need to be reporting what they’re finding out, even if it’s a near miss or it’s a lower severity incident. These recent incidents have also exposed that the companies themselves are not necessarily monitoring where these types of behaviours are ...

Timelines for incident reports are often set with well-intentioned urgency, but if they implicitly assume that root-cause analysis or full impact assessment has already been conducted, they will either produce premature and unreliable reports or plac...

When data theft occurs inside 60 minutes, a 72-hour reporting window ceases to function as an effective defense mechanism. Instead, it becomes a post-mortem.

We must come together to stop Flock and AI mass surveillance. That is why I will soon be introducing legislation to do just that.

This has effectively given police a very long leash to experiment with these technologies. And now we're in a tipping point situation where it's about to be expanded all over the country, and there's a real necessity for those legal frameworks to be ...

The new legal framework must include a meaningful regulatory regime which operationalises principles such as necessity, responsibility, proportionality, transparency, accountability and lawfulness. These principles should then structure and constrain...

Contrary to what some may fear, AI isn't eliminating jobs. It’s segmenting and reshaping them in fundamental ways that leaders and employees need to understand.

The AI jobs apocalypse probably isn’t coming anytime soon.

There will be some new jobs, but without the right policies there will be far fewer than exist today.

I believe we should tax AI tokens and robots. [...] The tax system nudges you toward replacing people with machines.

The proposals differ in detail, but they cite the same story: Labor’s share of national income has declined, and AI is accelerating workers’ losses by shifting more economic activity to capital. The tax code makes all of this worse by undertaxing cap...

Those responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled.

Existing responsible AI governance frameworks mandate human oversight. Yet they share a critical assumption: that competent human overseers remain present and capable of exercising meaningful oversight and control over AI decisions. Accountability mu...

A lot of tools can tell you an AI agent is behaving strangely. Very few can act on that at the network layer, without waiting on a human to approve a ticket. That’s the piece we’re closing.

Such technological advancement will provide society with invaluable tools to address critical global challenges, including drug discovery, economic growth and climate change.

This is going to be the most productive decade in the history of our species. But in order to truly reap the benefits of AI, we need to learn how to contain it. Paradoxically, part of that will mean collectively saying no to certain forms of progress...

Many leading companies are engaged in a single-minded pursuit of artificial general intelligence (AGI). [...] Rather than racing to replace people, we should build AI tools that amplify human expertise and expand opportunity.

If an incident is detected or reported, you should always be able to ‘pull the plug’ and halt autonomous AI agent activity immediately.

If you’re relying on a ‘kill switch’ to stop an AI agent, you’ve already made a fundamental mistake. A properly governed agent is simply never handed the task, so there is nothing to kill.

We have decided to add NT$235.7 billion in expenditures to provide NT$10,000 in cash to each person next year, so the 'AI dividend can be shared by all.'

Rather than doing something immediately, it would be better first to have academic research and examination, and then apply the scholarly findings to reality. It is an issue that, in the later legislative process, must win public consensus and fully ...

Still, it’s difficult to imagine a future in which our dysfunctional Congress passes a law to take a stake in AI companies, and then the government seamlessly redistributes the earnings to the rest of us. And regardless, such arrangements are unlikel...

The Federal Communications Commission initiated this proceeding to protect consumer from unwanted AI-generated calls while ensuring that our rules do not hinder the potential benefits that AI can offer, including making telecommunications more readil...

We can’t just invest in software and hardware; we have to invest in sovereignty.

Europe should prioritize “code over concrete.”

We analyze approximately 497,000 candidate-vacancy pipeline entries from September 2017 to September 2022, covering seven pipeline stages that span automated processing, human discretion, candidate data, and employer decisions. Aggregate outcomes acr...

As with any technology, the need for regulation depends on how it is deployed, the nature of harm that may be caused, and whether existing measures are effective in addressing those harms. Where existing measures are assessed to be inadequate and a s...

The extensive disclosure, auditing, and human-review mandates could slow hiring processes, increase administrative costs, and discourage employers—especially smaller ones—from using tools that streamline workforce management.

Forcing companies to pay up when powerful AI systems cause harm may be one of the strongest incentives for preventing that harm in the first place.

It’s a very thorny area. It’s uncharted territory. There’s a good argument to be made on either side.

I just don’t think the developer is in a position to know exactly how their product is being used.

It’s very dangerous to make this a dichotomy between complete openness all the way to complete closedness. In complex software systems as well as scientific systems it’s much more nuanced.

If I were to try to give one prescription, it would be to promote openness, because AI is amazing technology and I want it to be in everyone’s hands.

We've added a setting that lets you opt out of having your channel content used to train generative AI content models across Amazon.

Restricting access to training data, whether through mandatory compensation, expanded opt-out rights, or onerous compliance requirements, can have the effect of restricting AI development itself.

If you ask the model developers, Was the AI plotting to take over the world during training?, you want the answer to be a resounding no. The actual answer is: I don't know. Nobody checked.

For the most advanced frontier AI models, an independent, federally overseen, industry-backed organization could set safety standards and verify independent, voluntary audits, similar to how other critical sectors are managed.