YouCongress - Expert and Citizen Preferences

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.

To ensure that Canada is ready to meet that demand and to train up the next generation, we’ll create over 90,000 AI-related job opportunities for young Canadians, including through the Student Work Placement Program, Canada Summer Jobs, My Tax, and S...

We may not be heading for an imminent AI job apocalypse, but how organizations handle AI today will define more than just their future success. To navigate the complexity around the human and AI era, leaders must prioritize governance and invest in t...

AI will significantly increase unemployment, suppress GDP growth, and eventually trigger a large-scale global recession.

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.

If the probable outcome of AI is the end of jobs, then policy must think about universal basic income. If the outcome is transformation of jobs, then the policy response is training, skilling, and reskilling. Listening to economists and labour instit...

Universal basic income is a policy prescription that those people calling for it tended to believe in years earlier, before they had even heard of AI, and now it fits this scenario. I do not know what the outcomes and therefore the mitigations of AI ...

The new AI prophets of doom suffer from a failure of imagination. They simply cannot envision what work the future will bring, so they conclude it will bring none. In the real world, Washington would stack a UBI atop existing programs, adding trillio...

The New York AI Act covers several key components we view as vital to effective AI regulation such as providing whistleblower protections and codifying a clear and comprehensive definition of what constitutes unlawful discriminatory practices. These ...

Connecticut already has strong whistleblower laws that protect employees from retaliation. [...] creating a separate, AI-specific whistleblower regime could lead to confusion, duplication, and unintended consequences for employers operating in highly...

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.”

We have allowed a handful of multinational corporates, which have displayed a carelessness to the effects of what they do, to wield immense power—more power than national Governments. It is increasingly difficult for Governments to pull levers that a...

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.