Expert opinions on AI Regulation

The first, frontier-provider sovereignty, assigns privileged authority to the provider of the most capable models and is reflected in contemporary arguments for frontier-model testing, release gating, transparency duties, and compute-related controls...

Nations and international bodies should require AI systems to be auditable, explainable, and interpretable – especially in high-risk use cases.

We have a very natural instinct to say: we want as much interpretability as possible. One of the sci-fi worry cases is that agents start speaking in languages to each other that we don't understand. [...] I bet there are ways to define boundaries tha...

[...] principles requiring that AI be explicable are misguided. We should be deciding which decisions require explanations. Automation is still an option;

It will be that multi-trillion-dollar A.I. companies keep doing exactly what they're doing under the worst possible incentives to race as fast as possible to replace all human labor in the economy. I think something that's important to get, like why ...

This is more than a learning curve. It’s a structural challenge for individuals, employers and entire industries — one that risks widening inequalities if left unaddressed.

When finished, this hub will house gigawatt-scale compute and a new international subsea cable gateway, bringing jobs and the benefits of cutting-edge AI to people and businesses across India.

The European AI Regulation, promoted by the Spanish presidency, established eight prohibitions related to subliminal techniques, vulnerability exploitation, biometric classification, social scoring, predictive surveillance, emotion recognition, face ...

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...

要求拟人化互动服务提供者建立健全算法机制机理审核、科技伦理审查、信息内容管理、网络和数据安全、风险预案和应急处置等管理制度，配备与服务类型、规模和用户特点相适应的内容管理技术措施和人员。

Age verification can be done well in a privacy-protective way, but it is not easy.

Competition, innovation, and speech options will be limited as a result of these moves.

Results of testing for AI models’ capabilities and risks. A lack of clear, up-to-date information about what the world’s best AI systems are capable of puts the U.S. government at a huge disadvantage in understanding how the AI frontier is progressin...

However, it is important to differentiate regulating applications (which we need) vs. regulating the technology (which is ill-advised).

We must also work more concertedly with allies to develop joint sovereign capability. AI development needs to be part of an economic security reset with the EU, and we need to be able to participate in the Scaleup Europe Fund.

The answer isn't convergence for its own sake. We can push too hard on one thing. But if you have one standard, you could risk a lowest common denominator outcome that can cost us the innovation system as well and might have a risk on the national in...

Secondly, the Government must mandate independent statutory testing for AI before its release, and a yellow card scheme that would be a national register where safety incidents, near misses and harms caused by AI were reported, tracked and acted on e...

Our view is that AI is a general-purpose technology with a wide range of applications, and also that regulators understand well the sectors they are regulating. They understand the risks that are present and understand, as many noble Lords have raise...

Developing sovereign AI infrastructure will be essential to reducing these dependencies.

Europe should prioritize “code over concrete.”

These big debates are why the Government must embed ongoing public and democratic oversight of the AI transition and legislate for community benefit where infrastructure is built, including a share of the value created locally.

If these ingredients work as hoped, the resulting technology would in principle let us describe the algorithms inside a model as it is trained, flag deceptive alignment and reward hacking, and train against those flags to produce an aligned system wh...

No one knows—it’s an open problem, but I will review some ideas and research directions.

None of these approaches that you'll often hear mentioned—interpretability, testing or alignment—is technically adequate. We don't know how to build superintelligent AI safely. The plan is basically to roll the dice.

No automated employment-related decision process shall be used by a deployer in making any employment-related decision without human review over such employment-related decision.

Hence, under the overarching ambit of the National AI Council and together with tripartite partners, we are studying the use of AI tools by businesses and its impact on employment, before deciding the most appropriate approach for Singapore.

The requirement of human review is one of the most burdensome compliance elements for employers, particularly in comparison to states that allow alternative processes rather than human review.

This means having strong ethical guidelines, making sure AI decisions are explainable and free from bias, protecting human rights and privacy, and always keeping a “human in the loop” for important decisions.

Agentic AI requires a different model, one where leadership defines direction, systems enforce boundaries, and accountability is explicit.

That this House expresses grave concern at the Government's plans to expand the use of artificial intelligence and live facial recognition technology across England and Wales as part of its policing reforms; notes that nationwide deployment of facial...

The use of live facial recognition in our public spaces is an extraordinary expansion of state power that currently exists in a legal vacuum. We are not Luddites on these Benches; we recognise the utility of technology, but we must ensure that live f...

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...

Within 30 days of the date of this order, the Director of OMB, in coordination with the National Cyber Director and the Director of CISA, shall determine whether any Federal grant programs have available and relevant funding that can be directed towa...